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According to the dimensional approach to psychosis, there exists a continuum ranging from individuals with low levels of schizotypy to diagnosed schizophrenia patients, with schizotypy encompassing positive-like, negative-like, and disorganized-like symptoms of schizophrenia. Empirical evidence suggests that along this continuum, both exteroceptive (external sensory) and interoceptive (internal bodily) dimensions might be distorted. Understanding the contribution of these bodily dimensions in the manifestation of psychotic symptoms, even in schizotypy, might help target early interventions for individuals at risk of developing psychotic disorders. This study investigated the potential contribution of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits, such as cognitive-perceptual traits (positive-like symptoms), interpersonal traits (negative-like symptoms), and disorganization traits (disorganized-like symptoms). Partial Least Squares Regression was used to integrate several bodily dimensions to understand their impact on schizotypy, revealing specific and non-specific contributions of exteroceptive and interoceptive dimensions to different traits. The findings indicate that exteroceptive bodily dimensions generally predicted all schizotypal traits, with specific associations to positive-like symptoms, while interoceptive dimensions mostly predicted interpersonal-like and disorganized-like symptoms. These results suggest a difference in how exteroceptive and interoceptive bodily dimensions contribute to the three schizotypal traits. This highlights specific aspects of interoceptive and exteroceptive body representations that could serve as targets for early intervention. Particularly, interoception emerges as a potential prodromal marker, suggesting that early intervention in this area could be crucial. Biological sciences/Neuroscience Biological sciences/Psychology Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 1. Introduction Schizophrenia research has been conducted using two main approaches: cognitive and phenomenological. The former has traditionally focused on analysing mental processes and cognitive distortions central to the disorder, such as deficits in attention, memory, and executive functions. The latter emphasizes the role of bodily experience and the mind-body relationship in the onset and manifestation of psychotic symptoms. Following the phenomenological approach, it has been proposed that the core aspect of selfhood, referred to as the "minimal self," involves automatic, pre-reflective, and implicit bodily functioning. This concept also includes connecting with others at an intracorporeal level 1 – 3 and experiencing blurred self-other boundaries 4 . According to the continuum hypothesis of schizophrenia, these aspects of the "minimal self" are altered in early schizophrenia and schizotypal conditions 5 – 8 . Several studies investigating different dimensions of body representations have empirically supported this proposal 5 – 8 . For instance, disruptions in the representation of the peripersonal space have been observed in individuals with schizophrenia and high levels of schizotypy 9 . Similarly, both patients with schizophrenia 10 and individuals with high levels of schizotypy 11 exhibit impairments in the body structural representation 11 , body image 12 , 13 , spatial tactile acuity 14 , 15 , and sensorimotor functions 16 , 17 . Body representations are predominantly multisensory, and recent research underscores a crucial connection between deficits in multisensory integration and self-disorders in schizophrenia 18 . For example, De Gelder et al. 19 identified impaired audiovisual integration in schizophrenia patients, while Williams et al. 20 found altered integration of tactile and proprioceptive signals in those with schizotypy. Further investigations have delved into the temporal aspects of multisensory processing, which is thought to be the scaffolding for perception and cognition 21 . These studies have revealed altered temporal sensitivity in schizophrenia patients and those with high scores on the Schizotypal Personality Questionnaire (SPQ) 8 , 11 , 22 , 23 . Recently, it has been proposed that a crucial aspect of the human minimal self is interoception and that the developmental trajectory of interoception interacts with exteroceptive minimal-self components. For example, changes in the ability to perceive and identify interoceptive signals coincide with improvements in sensorimotor and multisensory body representations 24 . Interoception plays a crucial role in the experience of a unified bodily self 25 . Notably, impaired interoceptive representations have been found to contribute to the disrupted sense of bodily self often observed in individuals along the schizophrenia spectrum 26 – 28 . Garfinkel et al. 29 identified three distinct aspects of interoception: interoceptive accuracy referring to the accuracy in detecting internal bodily sensations, interoceptive sensibility referring to the subjective evaluation of experiencing internal bodily sensations 30 , and interoceptive awareness referring to the metacognitive awareness of one's interoceptive ability. The first two aspects have been shown to be reduced in chronic schizophrenia patients 27 , 28 , 31 , 32 ; as well as in youth with psychotic-like experiences 33 . Therefore, abnormalities in both exteroceptive and interoceptive representations of the body are pivotal in shaping the phenomenological experiences of the body in both schizophrenia and schizotypy. Following this reasoning we hypothesize that such abnormalities might predict the symptom-like traits observed in schizotypy. The present study tested the hypothesis that different schizotypal personality traits are influenced by different exteroceptive and interoceptive bodily dimensions. To achieve this objective, we employed Partial Least Squares Regression (PLSR), a form of supervised learning methodology. Using this method, we anticipate identifying body dimensions - whether interoceptive or exteroceptive - that are linked to and predict various schizotypy traits. 2. Methods and materials 2.1. Participants Sixty right-handed, healthy volunteers (36 females, mean age ± SD: 25.71 ± 5.47 years) participated in the study after providing written informed consent. Participants were recruited through an online questionnaire. No participant had a history of neurologic, general medical or psychiatric conditions. The experimental protocol was approved by the Institutional Ethics Committee at the University G. d'Annunzio, Chieti-Pescara and it was performed in compliance with Declaration of Helsinki’s ethical principles. All participants were assessed for their schizotypal personality traits using the Schizotypal Personality Questionnaire 34 . 2.1.2 Schizotypal Personality Questionnaire (SPQ) The Schizotypal Personality Questionnaire 34 is a validated questionnaire based on the diagnostic criteria of the DSM-III-R for schizotypal personality disorder. It consists of 74 items that measure the three-factor construct of schizotypy: cognitive-perceptual deficit, interpersonal deficit, and disorganization 7 , 34 . Responses are dichotomous (yes/no), with one point assigned for each agreement with an item. The total SPQ scores ranged from 0 to 53 (mean ± SD: 22.58 ± 13.37); the cognitive-perceptual scores ranged from 0 to 26 (mean ± SD: 9.56 ± 7.46); the interpersonal scores ranged from 0 to 29 (mean ± SD: 11.3 ± 6.82); the disorganization scores ranged from 0 to 16 (mean ± SD: 4.83 ± 4.08). 2.2. Procedure Each participant completed the entire battery, which comprised tasks and questionnaires evaluating either exteroceptive or interoceptive bodily dimensions (Table 1). 2.2.1 Exteroceptive Bodily Dimensions 2.2.1.1 Body Image Body Image refers to our subjective experience of the physical structure of our body in terms of its size, shape, and physical composition 35 . This dimension was evaluated through both a task, the Photographic Figure Rating Scale (PFRS) task , and a questionnaire, the Body Uneasiness Test (BUT). The PFRS, adapted from the study by Naor-Ziv et al. 36 , was used to assess participants’ body image perception and body shape dissatisfaction. From this task, we quantified the following variables: the mean Body Mass Index (BMI) reflecting each participant's actual physique (A), ideal body image (I), and perception of how others perceive their body (O). Furthermore, we calculated the discrepancies between these means and the participants' actual BMI (R), denoted as ΔAR (A-R), ΔIR (I-R), and ΔOR (O-R). These differences provided insights into the participants' levels of misperception regarding their current physique, dissatisfaction with their ideal body image, and inaccurate beliefs about how others view their bodies. See Supplementary material for a detailed description of the task. The Body Uneasiness Test is a questionnaire designed to assess individuals' attitudes towards their own body image. Developed by Cuzzolaro et al. 37 , the BUT 38 – 40 consists of 34 items and a list of 37 body parts, characteristics, or functions. Participants rate each item on a scale ranging from "Never" (0) to "Always" (5), with higher scores indicating a greater level of impairment or uneasiness. The BUT calculates measures of overall severity and distress related to body uneasiness. These include the Global Severity Index (GSI), defined as BUT A score, and Positive Symptom Total (PST) defined as BUT B. 2.2.1.2 Spatial Tactile Acuity Spatial Tactile Acuity refers to the ability to precisely perceive the location and quality of touch 41 . This dimension was evaluated through the two-point discrimination (2PD) task, which assesses the ability of participants to identify two closely spaced points on a small area of the skin and measures the accuracy of their discrimination skills 42 . We compared two body parts chest and thigh used as targets with the neck used as reference 43 . From this task, we quantified the following variables: the correct response for the two target body parts, chest (C-che) and thigh (C-thi); the overestimation for both chest (O-che) and thigh (O-thi) calculated by the errors and overestimation of the body parts compared to the reference and similarly, the underestimation for chest (U-che) and thigh (U-thi) calculated by errors and underestimation of the body parts. See Supplementary material for a detailed description of the task. 2.2.1.3 Body Structural Representation Body Structural Representation (BSR) refers to knowledge about the topological organization of bodies, outlining how different body parts interrelate within a spatial configuration, focusing on the spatial positioning of each body part related to others 35 . This dimension was evaluated through the Finger Localization Task 44 , which requires participants to identify and differentiate stimulated fingers in three different conditions. We focused on the third condition in which participants had to identify which two fingers were simultaneously touched. We calculated the accuracy and included the score of correct responses (HIT) as a variable. See Supplementary material for a detailed description of the task. 2.2.1.4 Multisensory Integration Multisensory Integration refers to the process by which inputs from two or more sensory modalities are combined by the nervous system to form a stable and coherent percept of the world 45 . This dimension was evaluated through the Multisensory Integration (MSI) task aiming at investigating the integration of visual, auditory, and tactile stimuli in participants' perception. The task focused on evaluating their response speed in relation to the presentation of these stimuli 46 , 47 . For each multisensory pair – audio-visual (av), audio-tactile (at) and visuo-tactile (vt) - the analysis involved calculating the area-under-the-curve (AUC) subtended by the distribution of reaction times to multisensory stimuli as compared to the distribution of reaction times to unimodal stimuli. Hence, AUC-av, AUC-at and AUC-vt represent a proxy of the magnitude of multisensory integration for audio-visual, audio-tactile and visuo-tactile stimuli, respectively 48 . See Supplementary material for a detailed description of the task. 2.2.1.5 Multisensory Temporal Resolution Multisensory Temporal Resolution refers to the principle that optimal multisensory integration occurs when stimuli from different senses are presented closely in time, diminishing as the temporal gap increases. This principle highlights the critical role of temporal proximity in influencing the nervous system's integration of diverse sensory information 49 . This dimension was evaluated through the Simultaneity Judgment (SJ) task, which aims to measure temporal sensitivity in the integration of multisensory stimuli. Specifically, we focused on auditory and tactile stimuli (A-T). Two parameters are usually derived from this task: the point of subjective equality (PSE), providing an estimate of the interval between stimuli at which there is the highest probability of the perception of simultaneity and the ‘just noticeable difference’ (JND-sj), reflecting the subject’s sensitivity to changes in temporal intervals between the stimuli. The JND value denotes the minimal temporal interval at which the change between the perceived temporal relation stimuli can be observed 50 . See Supplementary material for a detailed description of the task. 2.2.1.6 Peripersonal Space Peripersonal Space refers to the space surrounding the body where the integration of stimuli on the body and from the external environment is facilitated 51 . This dimension was evaluated through the Peripersonal Space (PPS) task 9 , 52 , 53 , which allows evaluating the individual’s boundaries of the peripersonal space by assessing the optimal temporal interval for the integration of tactile and auditory stimuli 54 , 55 . To this aim, a psychometric function is fitted to the RT data. The PSE of the psychometric function is taken as a proxy of the peripersonal space boundary. See Supplementary material for a detailed description of the task. 2.2.1.7 Temporal Tactile Acuity Temporal Tactile Acuity refers to the ability to perceive and discriminate temporal aspects of tactile stimuli. It involves the capacity to detect and distinguish temporal characteristics of sensations related to touch 56 . This dimension was evaluated through the Temporal Order Judgment. In a typical Temporal-Order Judgment (TOJ) task, participants are tasked with determining the order of two tactile stimuli presented sequentially to their left and right hands. When the hands are in an “uncrossed” position (toju), participants can rely on tactile and proprioceptive cues related to their body posture, utilizing a body-centred reference frame 57 . From this task, we quantified the JND (JND-toju), as a measure of precision, and the proportion of correct responses 58 . The JND-toju represents the smallest interval at which the participants can reliably decide which sensory input of the two presented was first 59 . See Supplementary material for a detailed description of the task. 2.2.1.8 Sensorimotor functions Touch remapping To perceive the location of touch in space, the brain combines information about touched skin location with information about the location of that body part in space. When the two hands are crossed, this integration is impaired, affecting the ability to judge the order of touches on both hands 58 . This crossed-hand posture creates a conflict between how tactile senses represent external space. Consequently, the same cues must be remapped using an external reference frame. This remapping process becomes necessary to accurately judge the temporal order of the tactile stimuli in the crossed-hand condition (tojc) 17 . From this task, we measured the following variables: the JND (JND-tojc), which represents the smallest interval at which participants can reliably determine which of the two presented sensory inputs came first 59 and the Sum of Confusions (SC-toj), that indicates the sum of differences in the response functions between crossed and uncrossed conditions 17 . SC-toj is a global indicator of differences, which provides an overarching measure of the divergence between the two conditions and assess increases in judgment reversals resulting from the arm-crossing manipulation 60 . See Supplementary material for a detailed description of the task. Laterality Judgment Task The Laterality Judgement Task (LJT) is designed to assess participants' ability to mentally rotate the presented hand images and accurately judge the lateral orientation of presented hand images 61 . We calculated slopes, which reflect the efficiency of the neural mechanism underlying the mental rotation process: a smaller slope indicates higher neural efficiency in mental rotation 62 . We quantified slopes for both hands, indicated as Mental Rotation Efficiency for the left hand (MRE-lh) and the right hand (MRE-rh), illustrating the efficiency of the respective mental rotation processes 63 . 2.2.2 Interoceptive Bodily Dimensions 2.2.2.1 Interoceptive Accuracy Interoceptive accuracy refers to the accuracy in detecting internal bodily sensations 29 . Two tasks determined cardiac interoceptive accuracy: the Heartbeat Detection task, also known as the Tapping or Tracking task 64 , 65 , and the Heartbeat Counting task 66 . In the Heartbeat Detection task (d) participants were instructed to focus their attention on their bodily sensations and to press a button on a device each time they felt a heartbeat. To calculate the accuracy during the Heartbeat Detection task (Acc-d), the recorded R-peaks and the corresponding tapping times were compared 67 – 69 . The Heartbeat Counting task (c) measures cardiac interoceptive accuracy by evaluating participants' performance in silently counting their felt heartbeats during specific time intervals 29 . Following each time interval, participants were required to verbally report the count or estimated number of heartbeats they perceived. Next, the accuracy score (Acc-c) was calculated by comparing the recorded heartbeats and the counted heartbeats 70 . See Supplementary material for a detailed description of the task. 2.2.2.2 Interoceptive Sensibility Interoceptive Sensibility is the subjective account of experiencing internal bodily sensations 30 . This dimension can be assessed using subjective measures that index both the individual's confidence in their interoceptive ability and their interoceptive feelings 29 . We evaluated this dimension through the score of confidence in interoceptive accuracy during the performance of the Heartbeat Detection task (Con-d) and the Heartbeat Counting task (Con-c). This confidence rating was assessed using a scale ranging from 1 to 9, with 1 indicating low confidence (total guess/no heartbeat awareness) and 9 indicating high confidence (complete perception of heartbeat). We also used two self-report questionnaires: the Body Perception Questionnaire (BPQ) 71 , 72 and the Multidimensional Assessment of Interoceptive Awareness (MAIA) 73 . The BPQ generally evaluates body awareness and autonomic symptoms. From the BPQ we obtained a score for each subscale: the body awareness (BOA) that consists of items related to the upper parts of the body, the supradiaphragmatic (SUP) that is involved in regulating the functions of organs situated above the diaphragm and additionally, the subdiaphragmatic/body awareness factor (BOA/SUB), includes items related to subdiaphragmatic issues. The MAIA generally evaluates multiple dimensions of interoception. From the MAIA we obtained a score for each subscale: Noticing (1M), Not-Distracting (2M) Not-Worrying (3M) Attention Regulation (4M) Emotional Awareness (5M) Self-Regulation (6M) Body Listening (7M) Trusting (8M). See supplementary material for a detailed description of the task and questionnaires. 2.2.2.3. Interoceptive Awareness Interoceptive Awareness is the metacognitive awareness of interoceptive accuracy and refers to the correspondence between objective interoceptive accuracy and subjective confidence report 29 , 74 . We quantified the participant’s awareness by comparing the accuracy and the sensibility in both the Heartbeat Detection task (Aw-d) and the Heartbeat Counting task (Aw-c). 2.3. Statistical Analysis : Machine Learning Approach When attempting to predict an output based on input that may be correlated with each other, the high collinearity among features, combined with the high number of features compared to the number of samples (such as subjects or tests in our case), can potentially disrupt the results, leading to unstable predictions that are sensitive to noise and susceptible to overfitting and poor generalization. Various linear and nonlinear regression and classification algorithms have been created to avoid the issue of overfitting. These methods can employ different approaches, including penalizing the fitting parameter through techniques like regularization or reducing the dimensionality of the feature space to mitigate overfitting. In this study, a linear regression analysis was conducted using a technique that involves reducing the dimensionality of the feature space, namely the Partial Least Square Regression (PLSR). PLSR has been widely demonstrated to be successful in mitigating overfitting, especially when dealing with collinearity. PLSR is based on the fundamental assumption that the observed data is produced by a system or process influenced by a limited number of latent variables that are not directly observed or measured. PLSR enables the creation of regression equations by condensing the predictors into a more concise set of uncorrelated components, which are linear combinations of the initial predictors. This approach conducts regression on these components, identifying those that capture the most pertinent information within the independent variables. This aids in predicting the dependent variable while simultaneously reducing the complexity of the regression problem by employing a smaller number of components than the original count of independent variables. PLSR can be viewed as a supervised learning method, a sort of supervised Principal Component Analysis. In contrast to PCA, which reduces the dimensionality of the feature space by analysing the eigen solutions of the covariance matrix in an unsupervised manner, PLSR is a supervised learning algorithm. PLSR achieves this by determining feature space components that maximize the covariance between the independent and dependent variables, making it another form of supervised learning algorithm. The PLSR algorithm necessitates an a priori selection of one parameter, known as a hyperparameter, i.e., the number of uncorrelated components (K) to be used for regression. Generally, to conduct hyperparameter optimization, a training set, a validation set, and a test set are required. The training set is used to train the algorithm (e.g., estimate PLSR weights), the validation set is used to optimize the hyperparameter (e.g., estimate the optimal K), and the test set is used to assess the generalization performance of the learning process. This separation of data implies a reduced sample size as part of a trade-off choice among the sets. Furthermore, another approach that minimizes the loss of samples in the different sets while evaluating the algorithm's generalization capabilities is cross-validation (CV). In CV, the data is divided into folds, and the model is trained on all data except one-fold in an iterative manner. The out-of-sample performance (i.e., generalization) is assessed based on the remaining fold and averaged across iterations. If the number of folds equals the number of samples, which is often referred to as "leave-one-out" cross-validation, it provides a rigorous assessment of the model's generalization performance. If the hyperparameters of the model need to be optimized, the optimization process cannot be reliably determined based on a simple CV without sacrificing a generalizable estimate of model performance. CV can be adapted to simultaneously select the best set of hyperparameters and provide a generalizable error estimation through a procedure called nested CV. Starting with k folds, nested cross-validation (nCV) is performed with an outer loop of k folds and an inner loop of k − 1 folds. The outer loop estimates the generalization performance of the model (i.e., test), while the inner loop evaluates the optimal hyperparameters (i.e., validation). In each iteration, a fold is selected as the outer set (for assessing generalization), and the remaining k − 1 sets are combined to form the corresponding outer training set. Then, each outer training set is further subdivided into j sets, and one set is iteratively chosen as the inner test set (for evaluating the optimal hyperparameters), with the j − 1 other sets forming the corresponding inner training set. If the number of folds equals the number of samples for both loops, the procedure is referred to as leave-one-out nCV. In this study, a leave-one-out nCV was implemented to assess the PLSR generalization performance and the optimal number of components using the following variables as the dependent variables: SPQ-CP, SPQ-I, SPQ-D and SPQ-TOT. For each of them, PLSR was used to test three models, each of which used exteroceptive, interoceptive, and intero-exteroceptive variables (BMI (R), A (actual), I (ideal), O (other), ΔAR, ΔIR, ΔOR, Pt. tot. A, Pt. tot. B, C-che, O-che, U-che, U-thi, O-thi, C-thi, HIT, AUC-av, AUC-at, AUC-vt, PSE-sj, JND-sj, PSE-pps, JND-toju, JND-tojc, SC-toj MRE-lh, MRE-rh, Acc-d, Acc-c, Con-d, Con-c, BOA, SUP, BOA/SUB, 1M-8M, Aw-d, Aw-c) as independent variables, described in table 1, resulting in a total of 12 models. Each model was trained and tested separately. The regression performances of the models were evaluated through correlation analyses between the predicted values and the actual values (which likely stand for some specific variable or outcome). The correlation coefficient, denoted as "r," is reported for each tested model. The degrees of freedom (DF) and the significance of the null hypothesis (p) are also reported in the analysis. These values help assess the strength and significance of the correlations between the predicted and actual values. Furthermore, the statistical significance of the weights was assessed using a randomization procedure, which involved constructing a confidence interval for the null hypothesis of each weight being zero (iterating the same algorithm 1 0^6 times on random shuffled outcomes). 3. Results 3.1 Contribution of exteroceptive bodily dimension to schizotypal traits To explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by the exteroceptive dimensions of body representations, we ran three models, one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of exteroceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score. The model testing the predictive impact of exteroceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ CP) was significant after cross-validation (Fig. 1 ). A significant positive correlation between the actual SPQ CP and the predicted SPQ CP was obtained (r = 0.594, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A, BUT-B, ΔAR), spatial tactile acuity (C-che, C-thi, U-che, O-che, U-thi), body structural representation (HIT), multisensory temporal resolution (JND-sj) and sensorimotor functions (MRE-lh, JND-tojc, SC-toj). The model testing the predictive impact of exteroceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig. 2 ). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.559, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, C-thi, O-che), body structural representation (HIT), multisensory integration (AUC-at) peripersonal space (PSE-sj) and sensorimotor functions (MRE-lh). The model testing the predictive impact of exteroceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig. 3 ). A significant positive correlation between the actual SPQ-D and the predicted SPQ-D was obtained (r = 0.501, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, O-che, U-thi), body structural representation (HIT), and sensorimotor functions (MRE-lh). The model testing the predictive impact of exteroceptive bodily dimensions on total schizotypy (SPQ) was significant after cross-validation (Fig. 4 ). A significant positive correlation between the actual SPQ and the predicted SPQ was obtained (r = 0.699, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, O-che), body structural representation (HIT), and sensorimotor functions (MRE-rh, MRE-lh). 3.2 Contribution of interoceptive bodily dimension to schizotypal traits To explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by the interoceptive dimensions of body representations, we ran three models one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of interoceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score The model testing the predictive impact of interoceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ-CP) was non-significant after cross-validation. The model testing the predictive impact of interoceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig. 5 ). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.388, p < 0.001). Dimensions that significantly contributed were: interoceptive accuracy (Acc-c) and interoceptive sensibility (3M, 4M, 5M, 8M, BPQ-SUP, Con-d, Con-c). The model testing the predictive impact of interoceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig. 6 ). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.488, p < 0.001). The dimension that significantly contributed was interoceptive sensibility (8M, BPQ-SUP). The model testing the predictive impact of interoceptive bodily dimensions on total schizotypy (SPQ) was non-significant after cross-validation. 3.3 Contribution of both exteroceptive and interoceptive bodily dimensions to schizotypal traits To explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by both the exteroceptive and interoceptive dimensions of body representations, we ran three models one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of both exteroceptive and interoceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score. The model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ CP) was non-significant after cross-validation. The model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig. 7 ). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.481, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A, BUT-B), spatial tactile acuity (C-che), body structural representation (HIT), peripersonal space (PSE-sj), interoceptive accuracy (Acc-c) and interoceptive sensibility (5M, 8M, BPQ-SUP, Con-d, Con-c). The model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig. 8 ). A significant positive correlation between the actual SPQ-D and the predicted SPQ-D was obtained (r = 0.525, p < 0.001). Dimensions that significantly contributed were: body image (BUT-A) and interoceptive sensibility (BPQ-SUP). The model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on total schizotypy (SPQ) was non-significant after cross-validation. 4. Discussion In this study, we investigated the potential contribution of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits, such as the cognitive-perceptual trait representing positive-like symptoms of schizophrenia, the interpersonal trait representing the negative-like symptoms, and the disorganization trait representing disorganized-like symptoms. Positive symptoms of schizophrenia typically refer to hallucinations and delusions, negative symptoms refer to deficits in social functioning, decreases in motivation and emotional expression and disorganized symptoms refer to disruptions in thought processes, as well as basic cognitive impairments 75 . For each schizotypal personality trait, we determined the contribution of exteroceptive and interoceptive bodily dimensions separately and in combination. To this aim, we employed Partial Least Squares Regression (PLSR), a supervised learning methodology. PLSR offers a robust approach to examining the relationships between multiple predictors and outcomes, making it particularly suitable for our multidimensional analysis. This method allowed us to integrate several bodily dimensions to understand their impact on schizotypy, revealing specific and non-specific contributions of exteroceptive and interoceptive dimensions to different traits, as shown in Table 2. 4.1 Contributions of bodily dimensions to cognitive-perceptual traits Our findings suggest that altered temporal sensitivity to multisensory stimuli is a specific contribution to cognitive-perceptual traits 8 . This result is supported by previous literature indicating impairments in the temporal aspects of multisensory integration among individuals with schizophrenia across various sensory domains. Previous studies show that patients with schizophrenia exhibit deficits in integrating audiovisual stimuli, highlighting the importance of multisensory integration in perceptual and cognitive processes 76 . Furthermore, research indicates that these deficits are not limited to the integration of external inputs, such as auditory and visual information from the environment, but also extend to the processing of somatosensory stimuli and their synchronization with external stimuli, that is, audio tactile stimuli 8 . Additional reports show reduced temporal sensitivity of sensory processing and increased tolerance to asynchronies in both high schizotypy 23 and schizophrenia 77 , reflecting abnormal temporal dynamics of neural activity. These findings suggest that abnormalities related to the temporal aspects of multisensory integration, including lengthened simultaneity ranges for auditory stimuli in schizophrenia 78 , may contribute to positive symptoms such as auditory or visual hallucinations. 4.2 Contributions of bodily dimensions to interpersonal traits Our results show that peripersonal space is a specific predictor of interpersonal traits, representing the negative-like symptoms. These results are consistent with prior studies that provided evidence linking the extension of peripersonal space to negative symptoms but not to positive symptoms in schizophrenic patients 79 , 80 and in individuals with high schizotypy 81 . In these studies 9 , 79 , peripersonal space was measured using a multisensory task 53 in which the peripersonal space mapping is allowed through the integration of visual or auditory and somatosensory information 82 . Consistent with this, another specific predictor of interpersonal traits is multisensory integration. In agreement with the association between PPS extension and interoceptive accuracy shown in healthy individuals 83 , we found that interoceptive dimensions that significantly predicted interpersonal traits were interoceptive accuracy and interoceptive sensibility. Few recent literatures focused on interoception in individuals with schizotypal personality traits 27 and schizophrenia 28 , 32 and the relationship between interoception and schizophrenia remains complex and not fully elucidated. While studies focusing on patients with schizophrenia consistently report lower interoceptive accuracy 27 , 28 , 32 , 84 and alterations in interoceptive sensibility 27 , 32 the nature of these differences and their relationship with clinical symptoms are still under debate. For instance, some studies mentioned before, suggested a potential association between interoceptive accuracy and symptom severity, with better interoceptive accuracy linked to more severe positive symptoms 28 , while another, found associations with both positive and negative symptoms 32 , and a third reported no significant relationship between symptoms and interoceptive measures 27 . Furthermore, a study that investigated the association between interoception and schizotypy found no significant associations 27 . However, for the first time, our results suggest a specific link between interoceptive dimensions and interpersonal traits or negative-like symptoms in schizotypy. These differences in results may regard various methodological and contextual factors, for example, the use of different SPQ questionnaire versions 27 . Additionally, the initial signs of schizophrenia typically manifest as negative symptoms 85 , gradually intensifying until the onset of the first episode, followed by the emergence of positive symptoms 86 . Considering the link between interoception and the affective domains 87 , 88 , and that negative symptoms mark the onset of the illness, it is conceivable that alterations in interoception may already be present within the subclinical population. 4.3 Contributions of bodily dimensions to disorganization traits Our results show no specific contribution was observed for disorganization traits. According to the multidimensional model of schizophrenia, disorganization is considered a basic psychopathological dimension, together with positive and negative symptoms. Although in terms of symptomatology, the DSM-V continues to capture aspects of disorganisation only in the area of language and patient behaviour, disorganisation is associated with early schizophrenia onset, history of psychosis in family, low level of insight and compliance 89 . Moreover, recent studies demonstrate that in first episode schizophrenia patients, disorganization is associated both with positive and negative symptoms 90 . The lack of a specific contribution to the disorganisation dimension highlighted by the present study can be interpreted in line with its early and basic function of the psychopathological structure of the self in psychosis. This dimension, which has been little studied with respect to other aspects of psychosis, especially in the prodromal phases of the pathology, would require a more in-depth study as well as the definition of more specific technological instruments for its definition in schizotypy. The absence of specific contributions to disorganization traits may also reflect a limitation of our study, as the tests used may not address aspects of body representation associated with such traits. 4.4 Non-specific contributions to schizotypal traits Our results show that, among the interoceptive and exteroceptive bodily dimensions we tested, non-specific contributions to schizotypal traits, that is bodily dimensions that predicted all traits of schizotypy, came only from some exteroceptive dimensions, such as body image, spatial tactile acuity, body structural representation, and sensorimotor functions. The contributions of these exteroceptive dimensions suggest that these dimensions are common across schizotypal traits. Consistent with our results on spatial tactile acuity, previous studies have detected an association between two-point discrimination thresholds and schizotypal features 91 . Moreover, other studies have found that anomalies in body image 92 and abnormal sensorimotor representations 93 are common features of schizophrenia spectrum disorders and are observable also in schizotypy, significantly before the onset of the first schizophrenia symptoms occur 94 . Our findings are also in line with the observation from several studies indicating impairments in body structural representation 12 both in patients with schizophrenia 10 and individuals with high levels of schizotypy 11 . The identified exteroceptive dimensions seem to characterize the schizotypal construct, suggesting their basic role across all schizotypal personality traits. These same dimensions are also significant predictors of the total SPQ score, further confirming their essential contribution to the overall schizotypy. Regarding interoceptive dimensions only the interoceptive sensibility contributed to the interpersonal and disorganized traits, but not to cognitive-perceptual traits, suggesting that these dimensions do not contribute to positive-like symptoms. Overall, our study brings to light two key observations. Firstly, while exteroceptive dimensions contribute to all aspects of schizotypy, interoceptive dimensions only show a contribution to interpersonal and disorganized traits. Specifically, interoceptive accuracy is linked to negative-like symptoms, commonly occurring during the prodromal phase of schizophrenia and preceding the onset of positive symptoms 95 . This particular association may stem from the putative role of interoception in fostering the stability of the bodily minimal self, contrasting with the ever-changing nature of exteroceptive information 25 . Consequently, early interoceptive deficits may let exteroceptive information, including those related to the body, undermine the minimal self. Secondly, our work highlights the importance of exploring the role of bodily dimensions to identifying both specific and non-specific therapeutic intervention targets. Particularly, interoception emerges as a potential prodromal marker, suggesting that early intervention in this area could be crucial for potential tailored interventions. Declarations Author Contribution MRP: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft;MGP: Data curation, Resources, Software, Validation;PC: Formal analysis, Methodology;MC: Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review and editing;FF: Conceptualization, Data curation, Project administration, Supervision, Writing – original draft Acknowledgement We thank Anatolia Salone.This work was supported by:-the BI4E project “Boosting INGENIUM for Excellence “, Project 101071321;-the PRIN 2022 PNRR Project “Metaphor end epistemic injustice in mental illness: the case of schizophrenia” – CUP D53D23020890001;-the Departments of Excellence 2023–2027" initiative of the Italian Ministry of University and Research for the Department of Neuroscience, Imaging and Clinical Sciences (DNISC) of the University of Chieti-Pescara.The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 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Negative Symptoms in Schizophrenia: A Review and Clinical Guide for Recognition, Assessment, and Treatment. doi: (2020). 10.2147/NDT.S225643 Tables Table 1: Tasks and questionnaires evaluating either exteroceptive or interoceptive bodily dimensions Table 2 Specific and non-specific contributions of exteroceptive and interoceptive dimensions to different schizotypal traits Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4895837","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":355539336,"identity":"873d71db-7c6e-4cdc-a482-a0e22c268803","order_by":0,"name":"Maria Rosaria Pasciucco","email":"data:image/png;base64,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","orcid":"","institution":"Department of Neuroscience, Imaging and Clinical Sciences, \"G. d'Annunzio\" University of Chieti and Pescara","correspondingAuthor":true,"prefix":"","firstName":"Maria","middleName":"Rosaria","lastName":"Pasciucco","suffix":""},{"id":355539337,"identity":"1551ba76-67a1-4c60-9ce5-559136e590c7","order_by":1,"name":"Mauro Gianni Perrucci","email":"","orcid":"","institution":"Department of Neuroscience, Imaging and Clinical Sciences, \"G. d'Annunzio\" University of Chieti and Pescara","correspondingAuthor":false,"prefix":"","firstName":"Mauro","middleName":"Gianni","lastName":"Perrucci","suffix":""},{"id":355539338,"identity":"2c62656b-14fb-4162-9ad2-492ede197500","order_by":2,"name":"Pierpaolo Croce","email":"","orcid":"","institution":"Department of Neuroscience, Imaging and Clinical Sciences, \"G. d'Annunzio\" University of Chieti and Pescara","correspondingAuthor":false,"prefix":"","firstName":"Pierpaolo","middleName":"","lastName":"Croce","suffix":""},{"id":355539339,"identity":"be547814-d9af-4b7b-a884-56dd09d2eb14","order_by":3,"name":"Marcello Costantini","email":"","orcid":"","institution":"Department of Psychology, “G. d’Annunzio” University of Chieti and Pescara","correspondingAuthor":false,"prefix":"","firstName":"Marcello","middleName":"","lastName":"Costantini","suffix":""},{"id":355539340,"identity":"39886c9d-342b-4cdf-96de-8ba374899ba6","order_by":4,"name":"Francesca Ferri","email":"","orcid":"","institution":"Department of Neuroscience, Imaging and Clinical Sciences, \"G. d'Annunzio\" University of Chieti and Pescara","correspondingAuthor":false,"prefix":"","firstName":"Francesca","middleName":"","lastName":"Ferri","suffix":""}],"badges":[],"createdAt":"2024-08-11 15:27:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4895837/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4895837/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-89951-9","type":"published","date":"2025-03-06T15:58:22+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":66652373,"identity":"d43326a9-8496-4499-ba93-3684ddb9f61a","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":49400,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ CP. Regression line and correlations values are reported. A significant positive correlation between the true SPQ CP and the predicted SPQ CP was obtained (r = 0.594, p \u0026lt; 0.001). The weights are associated with the SPQ CP exteroceptive variables (BUT A, BUT-B, MRE-lh, JND-sj, JND-tojc, SC-toj, ΔAR, HIT, C-che, C-thi, U-che, O-che, U-thi) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/02dbd843b6c9cbb19e46c5d1.png"},{"id":66652372,"identity":"cb773036-dda1-44c2-8e7f-d2e899a814e4","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":46504,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-I. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-I and the predicted SPQ-I was obtained (r = 0.559, p \u0026lt; 0.001). The weights are associated with the SPQ-I exteroceptive variables (BUT A, MRE-lh, PSE-pps, HIT, C-che, C-thi, O-che, AUC-at)used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/52b85f3916a1e28631bba060.png"},{"id":66653731,"identity":"9308ef6f-8faf-4cf4-886c-37c861887639","added_by":"auto","created_at":"2024-10-15 07:54:12","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":41946,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-D. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-D and the predicted SPQ-D was obtained (r = 0.501, p \u0026lt; 0.001). The weights are associated with the SPQ-D exteroceptive variables (BUT A, MRE-lh, HIT, C-che, O-che, U-thi) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/81661116198955a0af989cb9.png"},{"id":66654476,"identity":"ad4a8479-199f-4b7b-89a0-eabbebb565ce","added_by":"auto","created_at":"2024-10-15 08:02:12","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":40523,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ TOT. Regression line and correlations values are reported. A significant positive correlation between the true SPQ TOT and the predicted SPQ TOT was obtained (r = 0.699, p \u0026lt; 0.001). The bar graph shows the regression weights of the PLSR. The weights are associated with the SPQ exteroceptive variables (BUT A, MRE-rh, MRE-lh, HIT, C-che, O-che) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/a93392cb03461e1bc8659d18.png"},{"id":66652379,"identity":"9f469f5b-2dfb-4657-a353-27fc31995ac4","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":41144,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-I. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-I and the predicted SPQ-I was obtained (r = 0.388, p \u0026lt; 0.001). The weights are associated with the SPQ-I interoceptive variables (3M, 4M, 5M, 8M, BPQ-SUP, Con-d, Acc-c, Con-c) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/f31156728877e2221519d109.png"},{"id":66652377,"identity":"ab7a30ec-548b-41af-9684-05af3707d622","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":36188,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-D. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-D and the predicted SPQ-D was obtained (r = 0.488, p \u0026lt; 0.001). The weights are associated with the SPQ-D interoceptive variables (8M, BPQ-SUP) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/94bce6a26629900a7e828127.png"},{"id":66653729,"identity":"c96817f2-f595-4fd7-9630-b3e19793ce80","added_by":"auto","created_at":"2024-10-15 07:54:12","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":47134,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-I. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-I and the predicted SPQ-I was obtained (r = 0.481, p \u0026lt; 0.001). The weights are associated with the SPQ-I exteroceptive and interoceptive variables (BUT A, BUT-B, 5M, 8M, BPQ-SUP, Con-d, Acc-d, Con-c, PSE-pps, HIT, C-che) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/a0c65fc5352d748fd83541af.png"},{"id":66652375,"identity":"1081a804-59f0-4231-a434-69056b472020","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":36871,"visible":true,"origin":"","legend":"\u003cp\u003edisplays the PLSR out-of-training sample prediction of SPQ-D. Regression line and correlations values are reported. A significant positive correlation between the true SPQ-D and the predicted SPQ-D was obtained (r = 0.525, p \u0026lt; 0.001). The weights are associated with the SPQ-D exteroceptive and interoceptive variables (BUT A, BPQ-SUP) used as input of the PLSR model. Only weights above the 95% confidence interval of the null hypothesis (weight equal to 0) are reported.\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/6287856089dfebeb7ef278d6.png"},{"id":78191464,"identity":"b8040f4f-1118-4024-b22b-21c92c67519c","added_by":"auto","created_at":"2025-03-10 20:02:12","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1569422,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/4e58c3c9-6260-45a0-87ff-f8cb9cd5fda0.pdf"},{"id":66652378,"identity":"546ff5c3-a8ed-4ae0-a3d9-310f08b71bbf","added_by":"auto","created_at":"2024-10-15 07:46:12","extension":"docx","order_by":12,"title":"","display":"","copyAsset":false,"role":"supplement","size":223499,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryMaterials.docx","url":"https://assets-eu.researchsquare.com/files/rs-4895837/v1/b7f27612fa0c1efefb32fee8.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Predictive role of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eSchizophrenia research has been conducted using two main approaches: cognitive and phenomenological. The former has traditionally focused on analysing mental processes and cognitive distortions central to the disorder, such as deficits in attention, memory, and executive functions. The latter emphasizes the role of bodily experience and the mind-body relationship in the onset and manifestation of psychotic symptoms. Following the phenomenological approach, it has been proposed that the core aspect of selfhood, referred to as the \"minimal self,\" involves automatic, pre-reflective, and implicit bodily functioning. This concept also includes connecting with others at an intracorporeal level\u003csup\u003e\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e and experiencing blurred self-other boundaries \u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. According to the continuum hypothesis of schizophrenia, these aspects of the \"minimal self\" are altered in early schizophrenia and schizotypal conditions\u003csup\u003e\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Several studies investigating different dimensions of body representations have empirically supported this proposal \u003csup\u003e\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eFor instance, disruptions in the representation of the \u003cem\u003eperipersonal space\u003c/em\u003e have been observed in individuals with schizophrenia and high levels of schizotypy\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e. Similarly, both patients with schizophrenia\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e and individuals with high levels of schizotypy\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e exhibit impairments in the \u003cem\u003ebody structural representation\u003c/em\u003e\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e, \u003cem\u003ebody image\u003c/em\u003e\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e, \u003cem\u003espatial tactile acuity\u003c/em\u003e\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e,\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e, and \u003cem\u003esensorimotor functions\u003c/em\u003e\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e,\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. Body representations are predominantly multisensory, and recent research underscores a crucial connection between deficits in multisensory integration and self-disorders in schizophrenia\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e. For example, De Gelder et al.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e identified impaired audiovisual integration in schizophrenia patients, while Williams et al.\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e found altered integration of tactile and proprioceptive signals in those with schizotypy. Further investigations have delved into the temporal aspects of multisensory processing, which is thought to be the scaffolding for perception and cognition\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e. These studies have revealed altered temporal sensitivity in schizophrenia patients and those with high scores on the Schizotypal Personality Questionnaire (SPQ)\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e,\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e,\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eRecently, it has been proposed that a crucial aspect of the human minimal self is interoception and that the developmental trajectory of interoception interacts with exteroceptive minimal-self components. For example, changes in the ability to perceive and identify interoceptive signals coincide with improvements in sensorimotor and multisensory body representations\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e. Interoception plays a crucial role in the experience of a unified bodily self \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. Notably, impaired interoceptive representations have been found to contribute to the disrupted sense of bodily self often observed in individuals along the schizophrenia spectrum \u003csup\u003e\u003cspan additionalcitationids=\"CR27\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e. Garfinkel et al.\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e identified three distinct aspects of interoception: interoceptive accuracy referring to the accuracy in detecting internal bodily sensations, interoceptive sensibility referring to the subjective evaluation of experiencing internal bodily sensations\u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e, and interoceptive awareness referring to the metacognitive awareness of one's interoceptive ability. The first two aspects have been shown to be reduced in chronic schizophrenia patients\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e,\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e,\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e,\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e; as well as in youth with psychotic-like experiences\u003csup\u003e\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eTherefore, abnormalities in both exteroceptive and interoceptive representations of the body are pivotal in shaping the phenomenological experiences of the body in both schizophrenia and schizotypy. Following this reasoning we hypothesize that such abnormalities might predict the symptom-like traits observed in schizotypy.\u003c/p\u003e \u003cp\u003eThe present study tested the hypothesis that different schizotypal personality traits are influenced by different exteroceptive and interoceptive bodily dimensions. To achieve this objective, we employed Partial Least Squares Regression (PLSR), a form of supervised learning methodology. Using this method, we anticipate identifying body dimensions - whether interoceptive or exteroceptive - that are linked to and predict various schizotypy traits.\u003c/p\u003e"},{"header":"2. Methods and materials","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Participants\u003c/h2\u003e \u003cp\u003e Sixty right-handed, healthy volunteers (36 females, mean age ± SD: 25.71 ± 5.47 years) participated in the study after providing written informed consent. Participants were recruited through an online questionnaire. No participant had a history of neurologic, general medical or psychiatric conditions. The experimental protocol was approved by the Institutional Ethics Committee at the University G. d'Annunzio, Chieti-Pescara and it was performed in compliance with Declaration of Helsinki’s ethical principles. All participants were assessed for their schizotypal personality traits using the Schizotypal Personality Questionnaire \u003csup\u003e\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.1.2 Schizotypal Personality Questionnaire (SPQ)\u003c/h2\u003e \u003cp\u003eThe Schizotypal Personality Questionnaire\u003csup\u003e\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e is a validated questionnaire based on the diagnostic criteria of the DSM-III-R for schizotypal personality disorder. It consists of 74 items that measure the three-factor construct of schizotypy: cognitive-perceptual deficit, interpersonal deficit, and disorganization\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e. Responses are dichotomous (yes/no), with one point assigned for each agreement with an item. The total SPQ scores ranged from 0 to 53 (mean ± SD: 22.58 ± 13.37); the cognitive-perceptual scores ranged from 0 to 26 (mean ± SD: 9.56 ± 7.46); the interpersonal scores ranged from 0 to 29 (mean ± SD: 11.3 ± 6.82); the disorganization scores ranged from 0 to 16 (mean ± SD: 4.83 ± 4.08).\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003e2.2. Procedure\u003c/h3\u003e\n\u003cp\u003eEach participant completed the entire battery, which comprised tasks and questionnaires evaluating either exteroceptive or interoceptive bodily dimensions (Table\u0026nbsp;1).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1 Exteroceptive Bodily Dimensions\u003c/h2\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.1 Body Image\u003c/h2\u003e \u003cp\u003eBody Image refers to our subjective experience of the physical structure of our body in terms of its size, shape, and physical composition\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u003c/sup\u003e. This dimension was evaluated through both a task, the \u003cem\u003ePhotographic Figure Rating Scale (PFRS) task\u003c/em\u003e, and a questionnaire, the \u003cem\u003eBody Uneasiness Test (BUT).\u003c/em\u003e\u003c/p\u003e \u003cp\u003eThe PFRS, adapted from the study by Naor-Ziv et al.\u003csup\u003e\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e\u003c/sup\u003e, was used to assess participants’ body image perception and body shape dissatisfaction. From this task, we quantified the following variables: the mean Body Mass Index (BMI) reflecting each participant's actual physique (A), ideal body image (I), and perception of how others perceive their body (O). Furthermore, we calculated the discrepancies between these means and the participants' actual BMI (R), denoted as ΔAR (A-R), ΔIR (I-R), and ΔOR (O-R). These differences provided insights into the participants' levels of misperception regarding their current physique, dissatisfaction with their ideal body image, and inaccurate beliefs about how others view their bodies. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003cp\u003eThe Body Uneasiness Test is a questionnaire designed to assess individuals' attitudes towards their own body image. Developed by Cuzzolaro et al.\u003csup\u003e\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u003c/sup\u003e, the BUT\u003csup\u003e\u003cspan additionalcitationids=\"CR39\" citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e–\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e consists of 34 items and a list of 37 body parts, characteristics, or functions. Participants rate each item on a scale ranging from \"Never\" (0) to \"Always\" (5), with higher scores indicating a greater level of impairment or uneasiness. The BUT calculates measures of overall severity and distress related to body uneasiness. These include the Global Severity Index (GSI), defined as BUT A score, and Positive Symptom Total (PST) defined as BUT B.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.2 Spatial Tactile Acuity\u003c/h2\u003e \u003cp\u003eSpatial Tactile Acuity refers to the ability to precisely perceive the location and quality of touch\u003csup\u003e\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u003c/sup\u003e. This dimension was evaluated through the two-point discrimination (2PD) task, which assesses the ability of participants to identify two closely spaced points on a small area of the skin and measures the accuracy of their discrimination skills\u003csup\u003e\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e\u003c/sup\u003e. We compared two body parts chest and thigh used as targets with the neck used as reference\u003csup\u003e\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u003c/sup\u003e. From this task, we quantified the following variables: the correct response for the two target body parts, chest (C-che) and thigh (C-thi); the overestimation for both chest (O-che) and thigh (O-thi) calculated by the errors and overestimation of the body parts compared to the reference and similarly, the underestimation for chest (U-che) and thigh (U-thi) calculated by errors and underestimation of the body parts. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.3 Body Structural Representation\u003c/h2\u003e \u003cp\u003eBody Structural Representation (BSR) refers to knowledge about the topological organization of bodies, outlining how different body parts interrelate within a spatial configuration, focusing on the spatial positioning of each body part related to others\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u003c/sup\u003e. This dimension was evaluated through the Finger Localization Task\u003csup\u003e\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u003c/sup\u003e, which requires participants to identify and differentiate stimulated fingers in three different conditions. We focused on the third condition in which participants had to identify which two fingers were simultaneously touched. We calculated the accuracy and included the score of correct responses (HIT) as a variable. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.4 Multisensory Integration\u003c/h2\u003e \u003cp\u003eMultisensory Integration refers to the process by which inputs from two or more sensory modalities are combined by the nervous system to form a stable and coherent percept of the world \u003csup\u003e\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e\u003c/sup\u003e. This dimension was evaluated through the Multisensory Integration (MSI) task aiming at investigating the integration of visual, auditory, and tactile stimuli in participants' perception. The task focused on evaluating their response speed in relation to the presentation of these stimuli\u003csup\u003e\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e,\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e\u003c/sup\u003e. For each multisensory pair – audio-visual (av), audio-tactile (at) and visuo-tactile (vt) - the analysis involved calculating the area-under-the-curve (AUC) subtended by the distribution of reaction times to multisensory stimuli as compared to the distribution of reaction times to unimodal stimuli. Hence, AUC-av, AUC-at and AUC-vt represent a proxy of the magnitude of multisensory integration for audio-visual, audio-tactile and visuo-tactile stimuli, respectively\u003csup\u003e\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e\u003c/sup\u003e. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.5 Multisensory Temporal Resolution\u003c/h2\u003e \u003cp\u003eMultisensory Temporal Resolution refers to the principle that optimal multisensory integration occurs when stimuli from different senses are presented closely in time, diminishing as the temporal gap increases. This principle highlights the critical role of temporal proximity in influencing the nervous system's integration of diverse sensory information\u003csup\u003e\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThis dimension was evaluated through the Simultaneity Judgment (SJ) task, which aims to measure temporal sensitivity in the integration of multisensory stimuli. Specifically, we focused on auditory and tactile stimuli (A-T). Two parameters are usually derived from this task: the point of subjective equality (PSE), providing an estimate of the interval between stimuli at which there is the highest probability of the perception of simultaneity and the ‘just noticeable difference’ (JND-sj), reflecting the subject’s sensitivity to changes in temporal intervals between the stimuli. The JND value denotes the minimal temporal interval at which the change between the perceived temporal relation stimuli can be observed\u003csup\u003e\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e\u003c/sup\u003e. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.6 Peripersonal Space\u003c/h2\u003e \u003cp\u003ePeripersonal Space refers to the space surrounding the body where the integration of stimuli on the body and from the external environment is facilitated\u003csup\u003e\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThis dimension was evaluated through the Peripersonal Space (PPS) task\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e,\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e\u003c/sup\u003e, which allows evaluating the individual’s boundaries of the peripersonal space by assessing the optimal temporal interval for the integration of tactile and auditory stimuli\u003csup\u003e\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e,\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e\u003c/sup\u003e. To this aim, a psychometric function is fitted to the RT data. The PSE of the psychometric function is taken as a proxy of the peripersonal space boundary. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.7 Temporal Tactile Acuity\u003c/h2\u003e \u003cp\u003eTemporal Tactile Acuity refers to the ability to perceive and discriminate temporal aspects of tactile stimuli. It involves the capacity to detect and distinguish temporal characteristics of sensations related to touch\u003csup\u003e\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e\u003c/sup\u003e. This dimension was evaluated through the Temporal Order Judgment. In a typical Temporal-Order Judgment (TOJ) task, participants are tasked with determining the order of two tactile stimuli presented sequentially to their left and right hands. When the hands are in an “uncrossed” position (toju), participants can rely on tactile and proprioceptive cues related to their body posture, utilizing a body-centred reference frame\u003csup\u003e\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e\u003c/sup\u003e. From this task, we quantified the JND (JND-toju), as a measure of precision, and the proportion of correct responses\u003csup\u003e\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e\u003c/sup\u003e. The JND-toju represents the smallest interval at which the participants can reliably decide which sensory input of the two presented was first\u003csup\u003e\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u003c/sup\u003e. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e2.2.1.8 Sensorimotor functions\u003c/h2\u003e \u003cdiv id=\"Sec15\" class=\"Section3\"\u003e \u003ch2\u003eTouch remapping\u003c/h2\u003e \u003cp\u003eTo perceive the location of touch in space, the brain combines information about touched skin location with information about the location of that body part in space. When the two hands are crossed, this integration is impaired, affecting the ability to judge the order of touches on both hands\u003csup\u003e\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e\u003c/sup\u003e. This crossed-hand posture creates a conflict between how tactile senses represent external space. Consequently, the same cues must be remapped using an external reference frame. This remapping process becomes necessary to accurately judge the temporal order of the tactile stimuli in the crossed-hand condition (tojc)\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eFrom this task, we measured the following variables: the JND (JND-tojc), which represents the smallest interval at which participants can reliably determine which of the two presented sensory inputs came first \u003csup\u003e\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u003c/sup\u003e and the Sum of Confusions (SC-toj), that indicates the sum of differences in the response functions between crossed and uncrossed conditions\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. SC-toj is a global indicator of differences, which provides an overarching measure of the divergence between the two conditions and assess increases in judgment reversals resulting from the arm-crossing manipulation\u003csup\u003e\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e\u003c/sup\u003e. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eLaterality Judgment Task\u003c/h2\u003e \u003cp\u003eThe Laterality Judgement Task (LJT) is designed to assess participants' ability to mentally rotate the presented hand images and accurately judge the lateral orientation of presented hand images\u003csup\u003e\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e\u003c/sup\u003e. We calculated slopes, which reflect the efficiency of the neural mechanism underlying the mental rotation process: a smaller slope indicates higher neural efficiency in mental rotation\u003csup\u003e\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e\u003c/sup\u003e. We quantified slopes for both hands, indicated as Mental Rotation Efficiency for the left hand (MRE-lh) and the right hand (MRE-rh), illustrating the efficiency of the respective mental rotation processes\u003csup\u003e\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e2.2.2 Interoceptive Bodily Dimensions\u003c/h2\u003e \u003cdiv id=\"Sec18\" class=\"Section3\"\u003e \u003ch2\u003e2.2.2.1 Interoceptive Accuracy\u003c/h2\u003e \u003cp\u003eInteroceptive accuracy refers to the accuracy in detecting internal bodily sensations\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Two tasks determined cardiac interoceptive accuracy: the Heartbeat Detection task, also known as the Tapping or Tracking task\u003csup\u003e\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e,\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e\u003c/sup\u003e, and the Heartbeat Counting task\u003csup\u003e\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e\u003c/sup\u003e. In the Heartbeat Detection task (d) participants were instructed to focus their attention on their bodily sensations and to press a button on a device each time they felt a heartbeat. To calculate the accuracy during the Heartbeat Detection task (Acc-d), the recorded R-peaks and the corresponding tapping times were compared\u003csup\u003e\u003cspan additionalcitationids=\"CR68\" citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e–\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e69\u003c/span\u003e\u003c/sup\u003e. The Heartbeat Counting task (c) measures cardiac interoceptive accuracy by evaluating participants' performance in silently counting their felt heartbeats during specific time intervals \u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Following each time interval, participants were required to verbally report the count or estimated number of heartbeats they perceived. Next, the accuracy score (Acc-c) was calculated by comparing the recorded heartbeats and the counted heartbeats\u003csup\u003e\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e70\u003c/span\u003e\u003c/sup\u003e. See Supplementary material for a detailed description of the task.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e2.2.2.2 Interoceptive Sensibility\u003c/h2\u003e \u003cp\u003eInteroceptive Sensibility is the subjective account of experiencing internal bodily sensations\u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e. This dimension can be assessed using subjective measures that index both the individual's confidence in their interoceptive ability and their interoceptive feelings\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. We evaluated this dimension through the score of confidence in interoceptive accuracy during the performance of the Heartbeat Detection task (Con-d) and the Heartbeat Counting task (Con-c). This confidence rating was assessed using a scale ranging from 1 to 9, with 1 indicating low confidence (total guess/no heartbeat awareness) and 9 indicating high confidence (complete perception of heartbeat). We also used two self-report questionnaires: the Body Perception Questionnaire (BPQ)\u003csup\u003e\u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e71\u003c/span\u003e,\u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e72\u003c/span\u003e\u003c/sup\u003e and the Multidimensional Assessment of Interoceptive Awareness (MAIA)\u003csup\u003e\u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e73\u003c/span\u003e\u003c/sup\u003e. The BPQ generally evaluates body awareness and autonomic symptoms. From the BPQ we obtained a score for each subscale: the body awareness (BOA) that consists of items related to the upper parts of the body, the supradiaphragmatic (SUP) that is involved in regulating the functions of organs situated above the diaphragm and additionally, the subdiaphragmatic/body awareness factor (BOA/SUB), includes items related to subdiaphragmatic issues. The MAIA generally evaluates multiple dimensions of interoception. From the MAIA we obtained a score for each subscale: Noticing (1M), Not-Distracting (2M) Not-Worrying (3M) Attention Regulation (4M) Emotional Awareness (5M) Self-Regulation (6M) Body Listening (7M) Trusting (8M). See supplementary material for a detailed description of the task and questionnaires.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e2.2.2.3. Interoceptive Awareness\u003c/h2\u003e \u003cp\u003eInteroceptive Awareness is the metacognitive awareness of interoceptive accuracy and refers to the correspondence between objective interoceptive accuracy and subjective confidence report\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e,\u003cspan citationid=\"CR74\" class=\"CitationRef\"\u003e74\u003c/span\u003e\u003c/sup\u003e. We quantified the participant’s awareness by comparing the accuracy and the sensibility in both the Heartbeat Detection task (Aw-d) and the Heartbeat Counting task (Aw-c).\u003c/p\u003e \u003cp\u003e \u003cb\u003e2.3.\u003c/b\u003e \u003cb\u003eStatistical Analysis\u003c/b\u003e: \u003cb\u003eMachine Learning Approach\u003c/b\u003e\u003c/p\u003e \u003cp\u003eWhen attempting to predict an output based on input that may be correlated with each other, the high collinearity among features, combined with the high number of features compared to the number of samples (such as subjects or tests in our case), can potentially disrupt the results, leading to unstable predictions that are sensitive to noise and susceptible to overfitting and poor generalization. Various linear and nonlinear regression and classification algorithms have been created to avoid the issue of overfitting. These methods can employ different approaches, including penalizing the fitting parameter through techniques like regularization or reducing the dimensionality of the feature space to mitigate overfitting. In this study, a linear regression analysis was conducted using a technique that involves reducing the dimensionality of the feature space, namely the Partial Least Square Regression (PLSR). PLSR has been widely demonstrated to be successful in mitigating overfitting, especially when dealing with collinearity. PLSR is based on the fundamental assumption that the observed data is produced by a system or process influenced by a limited number of latent variables that are not directly observed or measured. PLSR enables the creation of regression equations by condensing the predictors into a more concise set of uncorrelated components, which are linear combinations of the initial predictors. This approach conducts regression on these components, identifying those that capture the most pertinent information within the independent variables. This aids in predicting the dependent variable while simultaneously reducing the complexity of the regression problem by employing a smaller number of components than the original count of independent variables. PLSR can be viewed as a supervised learning method, a sort of supervised Principal Component Analysis. In contrast to PCA, which reduces the dimensionality of the feature space by analysing the eigen solutions of the covariance matrix in an unsupervised manner, PLSR is a supervised learning algorithm. PLSR achieves this by determining feature space components that maximize the covariance between the independent and dependent variables, making it another form of supervised learning algorithm. The PLSR algorithm necessitates an a priori selection of one parameter, known as a hyperparameter, i.e., the number of uncorrelated components (K) to be used for regression. Generally, to conduct hyperparameter optimization, a training set, a validation set, and a test set are required. The training set is used to train the algorithm (e.g., estimate PLSR weights), the validation set is used to optimize the hyperparameter (e.g., estimate the optimal K), and the test set is used to assess the generalization performance of the learning process. This separation of data implies a reduced sample size as part of a trade-off choice among the sets.\u003c/p\u003e \u003cp\u003eFurthermore, another approach that minimizes the loss of samples in the different sets while evaluating the algorithm's generalization capabilities is cross-validation (CV). In CV, the data is divided into folds, and the model is trained on all data except one-fold in an iterative manner. The out-of-sample performance (i.e., generalization) is assessed based on the remaining fold and averaged across iterations. If the number of folds equals the number of samples, which is often referred to as \"leave-one-out\" cross-validation, it provides a rigorous assessment of the model's generalization performance. If the hyperparameters of the model need to be optimized, the optimization process cannot be reliably determined based on a simple CV without sacrificing a generalizable estimate of model performance. CV can be adapted to simultaneously select the best set of hyperparameters and provide a generalizable error estimation through a procedure called nested CV. Starting with k folds, nested cross-validation (nCV) is performed with an outer loop of k folds and an inner loop of k − 1 folds. The outer loop estimates the generalization performance of the model (i.e., test), while the inner loop evaluates the optimal hyperparameters (i.e., validation).\u003c/p\u003e \u003cp\u003eIn each iteration, a fold is selected as the outer set (for assessing generalization), and the remaining k − 1 sets are combined to form the corresponding outer training set. Then, each outer training set is further subdivided into j sets, and one set is iteratively chosen as the inner test set (for evaluating the optimal hyperparameters), with the j − 1 other sets forming the corresponding inner training set.\u003c/p\u003e \u003cp\u003eIf the number of folds equals the number of samples for both loops, the procedure is referred to as leave-one-out nCV. In this study, a leave-one-out nCV was implemented to assess the PLSR generalization performance and the optimal number of components using the following variables as the dependent variables: SPQ-CP, SPQ-I, SPQ-D and SPQ-TOT. For each of them, PLSR was used to test three models, each of which used exteroceptive, interoceptive, and intero-exteroceptive variables (BMI (R), A (actual), I (ideal), O (other), ΔAR, ΔIR, ΔOR, Pt. tot. A, Pt. tot. B, C-che, O-che, U-che, U-thi, O-thi, C-thi, HIT, AUC-av, AUC-at, AUC-vt, PSE-sj, JND-sj, PSE-pps, JND-toju, JND-tojc, SC-toj MRE-lh, MRE-rh, Acc-d, Acc-c, Con-d, Con-c, BOA, SUP, BOA/SUB, 1M-8M, Aw-d, Aw-c) as independent variables, described in table 1, resulting in a total of 12 models. Each model was trained and tested separately.\u003c/p\u003e \u003cp\u003eThe regression performances of the models were evaluated through correlation analyses between the predicted values and the actual values (which likely stand for some specific variable or outcome). The correlation coefficient, denoted as \"r,\" is reported for each tested model. The degrees of freedom (DF) and the significance of the null hypothesis (p) are also reported in the analysis. These values help assess the strength and significance of the correlations between the predicted and actual values.\u003c/p\u003e \u003cp\u003eFurthermore, the statistical significance of the weights was assessed using a randomization procedure, which involved constructing a confidence interval for the null hypothesis of each weight being zero (iterating the same algorithm 1 0^6 times on random shuffled outcomes).\u003c/p\u003e "},{"header":"3. Results","content":"\u003ch2\u003e3.1 Contribution of exteroceptive bodily dimension to schizotypal traits\u003c/h2\u003e\u003cp\u003eTo explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by the exteroceptive dimensions of body representations, we ran three models, one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of exteroceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score.\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of exteroceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ CP) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). A significant positive correlation between the actual SPQ CP and the predicted SPQ CP was obtained (r = 0.594, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A, BUT-B, ΔAR), spatial tactile acuity (C-che, C-thi, U-che, O-che, U-thi), body structural representation (HIT), multisensory temporal resolution (JND-sj) and sensorimotor functions (MRE-lh, JND-tojc, SC-toj).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of exteroceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.559, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, C-thi, O-che), body structural representation (HIT), multisensory integration (AUC-at) peripersonal space (PSE-sj) and sensorimotor functions (MRE-lh).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of exteroceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). A significant positive correlation between the actual SPQ-D and the predicted SPQ-D was obtained (r = 0.501, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, O-che, U-thi), body structural representation (HIT), and sensorimotor functions (MRE-lh).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of exteroceptive bodily dimensions on total schizotypy (SPQ) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). A significant positive correlation between the actual SPQ and the predicted SPQ was obtained (r = 0.699, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A), spatial tactile acuity (C-che, O-che), body structural representation (HIT), and sensorimotor functions (MRE-rh, MRE-lh).\u003c/p\u003e\u003ch2\u003e3.2 Contribution of interoceptive bodily dimension to schizotypal traits\u003c/h2\u003e\u003cp\u003eTo explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by the interoceptive dimensions of body representations, we ran three models one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of interoceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of interoceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ-CP) was non-significant after cross-validation.\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of interoceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.388, p \u0026lt; 0.001). Dimensions that significantly contributed were: interoceptive accuracy (Acc-c) and interoceptive sensibility (3M, 4M, 5M, 8M, BPQ-SUP, Con-d, Con-c).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of interoceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.488, p \u0026lt; 0.001). The dimension that significantly contributed was interoceptive sensibility (8M, BPQ-SUP).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of interoceptive bodily dimensions on total schizotypy (SPQ) was non-significant after cross-validation.\u003c/p\u003e\u003ch2\u003e3.3 Contribution of both exteroceptive and interoceptive bodily dimensions to schizotypal traits\u003c/h2\u003e\u003cp\u003eTo explore whether and to what extent different schizotypal personality traits are influenced to varying degrees by both the exteroceptive and interoceptive dimensions of body representations, we ran three models one for each of the three-factor construct of schizotypy: Cognitive-Perceptual (SPQ-CP), Interpersonal (SPQ-I) and Disorganization (SPQ-D). Furthermore, to explore the role of both exteroceptive and interoceptive dimensions influencing the whole schizotypal construct, we also tested the total SPQ score.\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on cognitive-perceptual traits of schizotypy (SPQ CP) was non-significant after cross-validation.\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on interpersonal traits of schizotypy (SPQ I) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e). A significant positive correlation between the actual SPQ-I and the predicted SPQ-I was obtained (r = 0.481, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A, BUT-B), spatial tactile acuity (C-che), body structural representation (HIT), peripersonal space (PSE-sj), interoceptive accuracy (Acc-c) and interoceptive sensibility (5M, 8M, BPQ-SUP, Con-d, Con-c).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on disorganization traits of schizotypy (SPQ D) was significant after cross-validation (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e8\u003c/span\u003e). A significant positive correlation between the actual SPQ-D and the predicted SPQ-D was obtained (r = 0.525, p \u0026lt; 0.001). Dimensions that significantly contributed were: body image (BUT-A) and interoceptive sensibility (BPQ-SUP).\u003c/p\u003e\u003cp\u003eThe model testing the predictive impact of both the exteroceptive and interoceptive bodily dimensions on total schizotypy (SPQ) was non-significant after cross-validation.\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eIn this study, we investigated the potential contribution of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits, such as the cognitive-perceptual trait representing positive-like symptoms of schizophrenia, the interpersonal trait representing the negative-like symptoms, and the disorganization trait representing disorganized-like symptoms. Positive symptoms of schizophrenia typically refer to hallucinations and delusions, negative symptoms refer to deficits in social functioning, decreases in motivation and emotional expression and disorganized symptoms refer to disruptions in thought processes, as well as basic cognitive impairments\u003csup\u003e\u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e75\u003c/span\u003e\u003c/sup\u003e. For each schizotypal personality trait, we determined the contribution of exteroceptive and interoceptive bodily dimensions separately and in combination. To this aim, we employed Partial Least Squares Regression (PLSR), a supervised learning methodology. PLSR offers a robust approach to examining the relationships between multiple predictors and outcomes, making it particularly suitable for our multidimensional analysis. This method allowed us to integrate several bodily dimensions to understand their impact on schizotypy, revealing specific and non-specific contributions of exteroceptive and interoceptive dimensions to different traits, as shown in Table\u0026nbsp;2.\u003c/p\u003e\u003ch2\u003e4.1 Contributions of bodily dimensions to cognitive-perceptual traits\u003c/h2\u003e\u003cp\u003eOur findings suggest that altered temporal sensitivity to multisensory stimuli is a specific contribution to cognitive-perceptual traits \u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. This result is supported by previous literature indicating impairments in the temporal aspects of multisensory integration among individuals with schizophrenia across various sensory domains. Previous studies show that patients with schizophrenia exhibit deficits in integrating audiovisual stimuli, highlighting the importance of multisensory integration in perceptual and cognitive processes\u003csup\u003e\u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e76\u003c/span\u003e\u003c/sup\u003e. Furthermore, research indicates that these deficits are not limited to the integration of external inputs, such as auditory and visual information from the environment, but also extend to the processing of somatosensory stimuli and their synchronization with external stimuli, that is, audio tactile stimuli\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Additional reports show reduced temporal sensitivity of sensory processing and increased tolerance to asynchronies in both high schizotypy\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e and schizophrenia\u003csup\u003e\u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e77\u003c/span\u003e\u003c/sup\u003e, reflecting abnormal temporal dynamics of neural activity. These findings suggest that abnormalities related to the temporal aspects of multisensory integration, including lengthened simultaneity ranges for auditory stimuli in schizophrenia\u003csup\u003e\u003cspan citationid=\"CR78\" class=\"CitationRef\"\u003e78\u003c/span\u003e\u003c/sup\u003e, may contribute to positive symptoms such as auditory or visual hallucinations.\u003c/p\u003e\u003ch2\u003e4.2 Contributions of bodily dimensions to interpersonal traits\u003c/h2\u003e\u003cp\u003eOur results show that peripersonal space is a specific predictor of interpersonal traits, representing the negative-like symptoms. These results are consistent with prior studies that provided evidence linking the extension of peripersonal space to negative symptoms but not to positive symptoms in schizophrenic patients\u003csup\u003e\u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e79\u003c/span\u003e,\u003cspan citationid=\"CR80\" class=\"CitationRef\"\u003e80\u003c/span\u003e\u003c/sup\u003e and in individuals with high schizotypy\u003csup\u003e\u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e81\u003c/span\u003e\u003c/sup\u003e. In these studies\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e79\u003c/span\u003e\u003c/sup\u003e, peripersonal space was measured using a multisensory task\u003csup\u003e\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e\u003c/sup\u003e in which the peripersonal space mapping is allowed through the integration of visual or auditory and somatosensory information\u003csup\u003e\u003cspan citationid=\"CR82\" class=\"CitationRef\"\u003e82\u003c/span\u003e\u003c/sup\u003e. Consistent with this, another specific predictor of interpersonal traits is multisensory integration.\u003c/p\u003e\u003cp\u003eIn agreement with the association between PPS extension and interoceptive accuracy shown in healthy individuals\u003csup\u003e\u003cspan citationid=\"CR83\" class=\"CitationRef\"\u003e83\u003c/span\u003e\u003c/sup\u003e, we found that interoceptive dimensions that significantly predicted interpersonal traits were interoceptive accuracy and interoceptive sensibility. Few recent literatures focused on interoception in individuals with schizotypal personality traits\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e and schizophrenia\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e,\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e and the relationship between interoception and schizophrenia remains complex and not fully elucidated. While studies focusing on patients with schizophrenia consistently report lower interoceptive accuracy\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e,\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e,\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e,\u003cspan citationid=\"CR84\" class=\"CitationRef\"\u003e84\u003c/span\u003e\u003c/sup\u003e and alterations in interoceptive sensibility\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e,\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e the nature of these differences and their relationship with clinical symptoms are still under debate. For instance, some studies mentioned before, suggested a potential association between interoceptive accuracy and symptom severity, with better interoceptive accuracy linked to more severe positive symptoms\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e, while another, found associations with both positive and negative symptoms\u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e, and a third reported no significant relationship between symptoms and interoceptive measures\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e. Furthermore, a study that investigated the association between interoception and schizotypy found no significant associations\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e. However, for the first time, our results suggest a specific link between interoceptive dimensions and interpersonal traits or negative-like symptoms in schizotypy. These differences in results may regard various methodological and contextual factors, for example, the use of different SPQ questionnaire versions\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e. Additionally, the initial signs of schizophrenia typically manifest as negative symptoms\u003csup\u003e\u003cspan citationid=\"CR85\" class=\"CitationRef\"\u003e85\u003c/span\u003e\u003c/sup\u003e, gradually intensifying until the onset of the first episode, followed by the emergence of positive symptoms\u003csup\u003e\u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e86\u003c/span\u003e\u003c/sup\u003e. Considering the link between interoception and the affective domains\u003csup\u003e\u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e87\u003c/span\u003e,\u003cspan citationid=\"CR88\" class=\"CitationRef\"\u003e88\u003c/span\u003e\u003c/sup\u003e, and that negative symptoms mark the onset of the illness, it is conceivable that alterations in interoception may already be present within the subclinical population.\u003c/p\u003e\u003ch2\u003e4.3 Contributions of bodily dimensions to disorganization traits\u003c/h2\u003e\u003cp\u003eOur results show no specific contribution was observed for disorganization traits. According to the multidimensional model of schizophrenia, disorganization is considered a basic psychopathological dimension, together with positive and negative symptoms. Although in terms of symptomatology, the DSM-V continues to capture aspects of disorganisation only in the area of language and patient behaviour, disorganisation is associated with early schizophrenia onset, history of psychosis in family, low level of insight and compliance\u003csup\u003e\u003cspan citationid=\"CR89\" class=\"CitationRef\"\u003e89\u003c/span\u003e\u003c/sup\u003e. Moreover, recent studies demonstrate that in first episode schizophrenia patients, disorganization is associated both with positive and negative symptoms\u003csup\u003e\u003cspan citationid=\"CR90\" class=\"CitationRef\"\u003e90\u003c/span\u003e\u003c/sup\u003e. The lack of a specific contribution to the disorganisation dimension highlighted by the present study can be interpreted in line with its early and basic function of the psychopathological structure of the self in psychosis. This dimension, which has been little studied with respect to other aspects of psychosis, especially in the prodromal phases of the pathology, would require a more in-depth study as well as the definition of more specific technological instruments for its definition in schizotypy. The absence of specific contributions to disorganization traits may also reflect a limitation of our study, as the tests used may not address aspects of body representation associated with such traits.\u003c/p\u003e\u003ch2\u003e4.4 Non-specific contributions to schizotypal traits\u003c/h2\u003e\u003cp\u003eOur results show that, among the interoceptive and exteroceptive bodily dimensions we tested, non-specific contributions to schizotypal traits, that is bodily dimensions that predicted all traits of schizotypy, came only from some exteroceptive dimensions, such as body image, spatial tactile acuity, body structural representation, and sensorimotor functions. The contributions of these exteroceptive dimensions suggest that these dimensions are common across schizotypal traits. Consistent with our results on spatial tactile acuity, previous studies have detected an association between two-point discrimination thresholds and schizotypal features\u003csup\u003e\u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e91\u003c/span\u003e\u003c/sup\u003e. Moreover, other studies have found that anomalies in body image\u003csup\u003e\u003cspan citationid=\"CR92\" class=\"CitationRef\"\u003e92\u003c/span\u003e\u003c/sup\u003e and abnormal sensorimotor representations\u003csup\u003e\u003cspan citationid=\"CR93\" class=\"CitationRef\"\u003e93\u003c/span\u003e\u003c/sup\u003e are common features of schizophrenia spectrum disorders and are observable also in schizotypy, significantly before the onset of the first schizophrenia symptoms occur\u003csup\u003e\u003cspan citationid=\"CR94\" class=\"CitationRef\"\u003e94\u003c/span\u003e\u003c/sup\u003e. Our findings are also in line with the observation from several studies indicating impairments in body structural representation\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e both in patients with schizophrenia\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e and individuals with high levels of schizotypy\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. The identified exteroceptive dimensions seem to characterize the schizotypal construct, suggesting their basic role across all schizotypal personality traits. These same dimensions are also significant predictors of the total SPQ score, further confirming their essential contribution to the overall schizotypy.\u003c/p\u003e\u003cp\u003eRegarding interoceptive dimensions only the interoceptive sensibility contributed to the interpersonal and disorganized traits, but not to cognitive-perceptual traits, suggesting that these dimensions do not contribute to positive-like symptoms.\u003c/p\u003e\u003cp\u003eOverall, our study brings to light two key observations. Firstly, while exteroceptive dimensions contribute to all aspects of schizotypy, interoceptive dimensions only show a contribution to interpersonal and disorganized traits. Specifically, interoceptive accuracy is linked to negative-like symptoms, commonly occurring during the prodromal phase of schizophrenia and preceding the onset of positive symptoms\u003csup\u003e\u003cspan citationid=\"CR95\" class=\"CitationRef\"\u003e95\u003c/span\u003e\u003c/sup\u003e. This particular association may stem from the putative role of interoception in fostering the stability of the bodily minimal self, contrasting with the ever-changing nature of exteroceptive information\u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. Consequently, early interoceptive deficits may let exteroceptive information, including those related to the body, undermine the minimal self. Secondly, our work highlights the importance of exploring the role of bodily dimensions to identifying both specific and non-specific therapeutic intervention targets. Particularly, interoception emerges as a potential prodromal marker, suggesting that early intervention in this area could be crucial for potential tailored interventions.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eMRP: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing \u0026ndash; original draft;MGP: Data curation, Resources, Software, Validation;PC: Formal analysis, Methodology;MC: Conceptualization, Funding acquisition, Methodology, Supervision, Writing \u0026ndash; review and editing;FF: Conceptualization, Data curation, Project administration, Supervision, Writing \u0026ndash; original draft\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eWe thank Anatolia Salone.This work was supported by:-the BI4E project \u0026ldquo;Boosting INGENIUM for Excellence \u0026ldquo;, Project 101071321;-the PRIN 2022 PNRR Project \u0026ldquo;Metaphor end epistemic injustice in mental illness: the case of schizophrenia\u0026rdquo; \u0026ndash; CUP D53D23020890001;-the Departments of Excellence 2023\u0026ndash;2027\" initiative of the Italian Ministry of University and Research for the Department of Neuroscience, Imaging and Clinical Sciences (DNISC) of the University of Chieti-Pescara.The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eFerri, F. et al. 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U. \u0026amp; Schooler, N. R. Negative Symptoms in Schizophrenia: A Review and Clinical Guide for Recognition, Assessment, and Treatment. doi: (2020). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.2147/NDT.S225643\u003c/span\u003e\u003cspan address=\"10.2147/NDT.S225643\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTable 1: Tasks and questionnaires evaluating either exteroceptive or interoceptive bodily dimensions\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"727\" height=\"413\"\u003e\u003c/p\u003e\n\u003cp\u003eTable 2 Specific and non-specific contributions of exteroceptive and interoceptive dimensions to different schizotypal traits\u003c/p\u003e\n\u003cp\u003e\u003cimg 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[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4895837/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4895837/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe phenomenological approach to schizophrenia emphasizes the role of bodily experiences in the onset and manifestation of positive, negative and disorganized psychotic symptoms. According to the dimensional approach to psychosis, there exists a continuum ranging from individuals with low levels of schizotypy to diagnosed schizophrenia patients, with schizotypy encompassing positive-like, negative-like, and disorganized-like symptoms of schizophrenia. Empirical evidence suggests that along this continuum, both exteroceptive (external sensory) and interoceptive (internal bodily) dimensions might be distorted. Understanding the contribution of these bodily dimensions in the manifestation of psychotic symptoms, even in schizotypy, might help target early interventions for individuals at risk of developing psychotic disorders.\u003c/p\u003e \u003cp\u003eThis study investigated the potential contribution of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits, such as cognitive-perceptual traits (positive-like symptoms), interpersonal traits (negative-like symptoms), and disorganization traits (disorganized-like symptoms). Partial Least Squares Regression was used to integrate several bodily dimensions to understand their impact on schizotypy, revealing specific and non-specific contributions of exteroceptive and interoceptive dimensions to different traits.\u003c/p\u003e \u003cp\u003eThe findings indicate that exteroceptive bodily dimensions generally predicted all schizotypal traits, with specific associations to positive-like symptoms, while interoceptive dimensions mostly predicted interpersonal-like and disorganized-like symptoms.\u003c/p\u003e \u003cp\u003eThese results suggest a difference in how exteroceptive and interoceptive bodily dimensions contribute to the three schizotypal traits. This highlights specific aspects of interoceptive and exteroceptive body representations that could serve as targets for early intervention. Particularly, interoception emerges as a potential prodromal marker, suggesting that early intervention in this area could be crucial.\u003c/p\u003e","manuscriptTitle":"Predictive role of exteroceptive and interoceptive bodily dimensions to schizotypal personality traits","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-15 07:46:07","doi":"10.21203/rs.3.rs-4895837/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-09-26T04:11:46+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-09-19T16:40:14+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-09-18T06:27:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"326848045385851514162653226968146992498","date":"2024-09-09T19:20:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"187765824127408320984803455083678200978","date":"2024-09-09T10:01:53+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-09-08T18:10:02+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-09-03T17:18:38+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-08-22T19:26:27+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-08-21T10:50:59+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-08-11T15:26:18+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
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