Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership

Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership Fumina Mori, Dai Yanagihara This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8043349/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 21 You are reading this latest preprint version Abstract Although electrical muscle stimulation (EMS) is expected to alter the sense of agency (SoA) and sense of ownership (SoO) of a user's body parts, as well as brain activity during passive movements, these phenomena have not yet been systematically examined. We investigated the SoA, SoO, and brain activity in situations where participants moved their wrists voluntarily, or where EMS was applied either during voluntary movement or at rest. The EMS intensity was varied from the motor threshold to the maximum level at which participants did not experience pain or discomfort. SoA and SoO were maintained at levels comparable to those during voluntary movement alone when EMS was applied during voluntary movement at intensities ranging from the motor threshold to a moderate level. Brain activity during passive movements induced by EMS was low, and activity during voluntary movements with EMS at various intensities was comparable to that during voluntary movements without EMS. Our results indicate that applying EMS at intensities from the motor threshold to moderate levels during voluntary movement is appropriate for maintaining SoA and SoO. Biological sciences/Neuroscience Biological sciences/Physiology Electrical Muscle Stimulation Sense of Agency Sense of Ownership Electroencephalography Wrist Muscles Figures Figure 1 Figure 2 Figure 3 Introduction Electrical muscle stimulation (EMS) induces passive contraction of target muscles and has potential applications in exercise guidance and rehabilitation for inpatients and older adults [ 1 – 4 ]. However, EMS evokes artificial movements regardless of the user's intention, which may reduce the user's sense of agency (SoA: the feeling that “I am the one who causes this event”) and sense of ownership (SoO: the feeling that “the body experiencing this event is my body”), and may also affect brain activity. The strength of SoA facilitates motor learning [ 5 ]; however, how EMS affects SoA remains unclear. Most studies on SoA have evaluated it in terms of whether one perceives oneself as controlling the visual or auditory feedback resulting from one’s own movement [ 6 – 10 ]. More recently, several studies have evaluated SoA in relation to whether an individual perceives themselves as controlling an avatar’s or their own body movements [ 11 – 14 , 2 ]. Kang et al. [ 11 ] synchronized participants' hand movement with that of an avatar’s hand on a monitor (0–100%) and measured brain activity using electroencephalography (EEG). They reported that increases in SoA were associated with decreases in EEG power during movement relative to rest in the alpha (8–12 Hz) and beta (13–30 Hz) bands. EMS studies evaluating SoA for a user's own body movements have investigated the optimal stimulation timing to maintain SoA [ 12 , 13 ], neural activity associated with the determination of SoA [ 14 ], and the effectiveness of EMS in guiding position during racket sports [ 2 ]. However, to the best of our knowledge, it remains unclear whether SoA differs depending on the intensity of EMS or whether EMS is applied during voluntary movement versus at rest. Most studies on SoO have focused on the rubber hand illusion, in which participants feel that tactile stimuli presented to a fake rubber or avatar hand are actually presented to their body [ 15 – 19 ]. Studies focusing on ownership of one's own body have reported decreased SoO in patients with post-stroke effects or intracarotid amobarbital inactivation [20 21]. However, it remains unclear whether SoO changes in one’s own body parts—not artificial ones—under the influence of EMS. Few studies have investigated changes in brain activity during EMS-evoked body movement [ 22 , 23 ]. These studies applied EMS during rest or motor imagery and showed that EEG power relative to rest decreased in the alpha (mu) or beta bands. However, the difference in brain activity between voluntary and externally evoked movements, as well as the effects of EMS intensity, remain unclear. Furthermore, brain activity when EMS is applied during voluntary movements has not yet been investigated. This study aimed to determine whether SoA, SoO, and brain activity differ depending on the intensity of EMS and whether EMS is applied during voluntary movements or at rest. This investigation may contribute not only to exercise guidance and rehabilitation, but also to the development of technology [ 24 , 25 ] for sharing proprioception during movement using EMS. We focused on movements involving the forearm muscles (palmar flexion), for which proprioceptive-sharing devices have already been developed [ 24 , 25 ]. We measured EEG and conducted a survey on SoA and SoO during voluntary movement alone, voluntary movement with EMS applied, and resting with EMS applied. We compared differences in survey scores and EEG power between voluntary and other movement conditions, between movement modes at the same EMS intensity, and between different EMS intensities. Results Survey scores A survey (Table 2 ) was conducted to assess SoA, SoO, emotions, and fatigue in the V condition, where participants performed wrist flexion voluntarily; in the V + WS/V + MS/V + SS conditions, where EMS was applied at three levels of intensity while participants performed wrist flexion voluntarily; and in the WS/MS/SS conditions, where EMS was applied at three levels of intensity while participants were at rest. WS, MS, and SS indicated weak, medium, and strong EMS intensities, respectively. Weak EMS corresponded to the motor threshold level of palmar flexion; strong EMS was the maximum level at which participants did not feel pain or discomfort; and medium EMS was the intermediate level between weak and strong EMS. Participants verbally reported their feelings on a scale from 0 to 100, where 0 indicated "I did not feel like that at all," and 100 indicated "I highly felt like that." For SoA and SoO, two questions were asked for each construct, and differential scores between the two questions were analyzed. For emotion and fatigue, one question was asked per construct, and the raw scores were analyzed. Scores for all seven conditions were compared for all participants using the Friedman test ( p < 0.05, Bonferroni-corrected). Table 2 Questions in the survey Number Feeling Question Q1 SoA Did you feel like you could control your own arm? Q2 SoA Did you feel like your arm was controlled by the electrical stimuli? Q3 SoO Did you feel like your arm was your arm? Q4 SoO Did you feel like your arm was someone else's arm? Q5 Fatigue Did you feel fatigue? Q6 Emotion Were you excited? When comparing voluntary movement with other conditions (that is V vs. the other conditions), significant differences were found for SoA, SoO, and emotion. For SoA, four pairs showed significant score differences (Fig. 1 a V vs. WS/MS/SS/V + MS: p = 0.013/<0.001/<0.001/<0.001), with SoA scores lower in conditions other than voluntary movement. For SoO, four pairs also showed significant score differences (Fig. 1 b; V vs. WS/MS/SS/V + MS: p = 0.020 < 0.001/<0.001/<0.001), with SoO scores lower in non-voluntary conditions. For emotion, two pairs showed significant differences (Fig. 1 d; V vs. SS/V + MS: p = 0.001/0.002), with emotional scores higher in conditions other than voluntary movement. In the comparison between movement modes (V + WS vs. WS, V + MS vs. MS, or V + SS vs. SS), a significant difference was found in SoA (Fig. 2 a; V + MS vs. MS: p = 0.013), with SoA scores higher during voluntary movement than during EMS-only conditions. When comparing EMS intensities (among V + WS, V + MS, and V + SS, or among WS, MS, and SS), differences were observed for SoA, SoO, fatigue, and emotion. All significant differences occurred between weak and strong EMS intensities in the EMS-only movement condition (Fig. 2 a-d; SoA: p < 0.001; SoO: p = 0.020; Fatigue: p = 0.003; Emotion: p = 0.015). The SoA and SoO scores were higher, while fatigue and emotion scores were lower, at weak intensities. EEG Power Seven conditions were tested as mentioned above, and EEG measurements were obtained. The relative EEG power between each condition and the resting condition was calculated. All channels in each frequency band were selected in the data screening. We compared the relative EEG power for all pairs of the seven conditions for the selected participants in each channel, using the Friedman test ( p < 0.05, Bonferroni-corrected). Figure 2 shows the EEG channels that exhibited significant differences in one or more of the following comparisons: (1) between voluntary and other movements; (2) between movement modes at the same EMS intensity; and (3) between EMS intensities. For the comparison between voluntary and other movements, significant differences were observed in three channels in the beta band (Fig. 2 c, d, and f): Cz (V vs. MS/SS: p = 0.028/0.020), C4 (V vs. WS/SS: p = 0.031/0.016) and P4 (V vs. WS/MS/SS: p = 0.,013/0.040/0.040). In these channels, relative power was lower during voluntary movements than during EMS-only movements. For the comparison between movement modes, two channels in the alpha band and two channels in the beta band showed significant differences (Fig. 2 a, e, b, and c): Alpha-T3 (V + SS vs. SS: p = 0.027), Alpha-Pz (V + MS vs. MS: p = 0.044), Beta-C3 (V + MS vs. MS: p = 0.033), and Beta-Cz (V + MS vs. MS: p = 0.020). In these channels, relative power was lower in conditions with voluntary movement than in the EMS-only conditions. For the comparison between EMS intensities, no channels showed significant differences in either the alpha or beta bands. We investigate the power difference between the seven conditions and resting condition in the channels mentioned above, using the Wilcoxon signed-rank test ( p < 0.05). In the alpha band, significant differences were observed in V, V + WS, V + MS, and V + SS conditions: T3 (V: p = 0.016, V + WS: p = 0.047, V + MS: p = 0.031, V + SS: p = 0.016) and Pz (V: p = 0.031, V + WS: p = 0.031, V + MS: p = 0.031, V + SS: p = 0.031). In the beta band, significant differences were observed in V, V + MS ,and V + SS conditions: C3 (V: p = 0.004, V + MS: p = 0.004, V + SS: p = 0.004), Cz (V: p < 0.001, V + MS: p = 0.001, V + SS: p = 0.005), C4 (V: p < 0.001, V + MS: p = 0.008, V + SS: p = 0.010), and P4 (V: p = 0.002, V + MS: p = 0.002, V + SS: p = 0.002). In both bands, the EMS-only movements (WS/MS/SS conditions) had no significance. Discussion Regarding SoA and SoO, our results indicate that EMS should be applied during voluntary movement at intensities ranging from the motor threshold level to a medium level between the motor threshold level and the maximum level without pain or discomfort to maintain SoA and SoO. In this study, no significant differences in SoA or SoO were found at these levels compared with voluntary movement alone (Fig. 1 a, b). As the degree of SoA contributes to motor learning [ 5 ], we propose using EMS within the intensity range described above when applying EMS to sports training and rehabilitation programs requiring motor learning. However, our results indicate a trade-off relationship between SoA, SoO, fatigue, and emotion (Fig. 1 ). If the technology for sharing proprioception via EMS [ 24 , 25 ] is further developed, it could be applied in contexts where motor learning is unnecessary, for example, when one wishes to experience another person's proprioception during movement, where a higher-intensity EMS may enhance entertainment value. We acknowledge two limitations in the investigation of SoA and SoO. First, to prevent noise from eye blinks or eye movements, participants were instructed to look at a fixation point on the screen or a bar indicating their current wrist angle rather than at their own arm. Therefore, SoO may differ if participants view their own or another person's arm. Second, because the survey was administered only at the end of the measurement period, temporal changes in SoA and SoO remain unknown. If EMS is repeated, SoA and SoO may change over time as participants become accustomed to the stimulus input. Regarding brain activity, our results suggest that when motor behaviors are evoked by EMS within a pain-free intensity range during voluntary movement, brain activity may not significantly differ from that observed during voluntary movement alone. Two possible explanations are outlined below: First, changes in brain activity during voluntary movement were detected regardless of the presence of EMS. During voluntary movement, relative EEG power was lower in the channels near the motor cortex and right parietal region than when movement was evoked by EMS during rest (Fig. 2 F). Given that relative EEG power decreases as brain activity increases [ 26 ], our results suggest that the brain is more active during voluntary movement. The motor cortex generates movement commands [ 27 ]. In the voluntary movement tasks with or without EMS, participants continuously moved their hands. Therefore, the motor cortex remained active throughout the tasks, as reflected in the EEG. The parietal cortex, which is active during the initiation and planning stages of movement and receives visual input [ 27 , 28 ], was also likely engaged. Given that participants adjusted their movements while watching a bar that expanded and contracted from the center toward the left side of their visual field, visual information from this left-sided field was transmitted to the right visual and parietal cortices [ 29 ], which may have been reflected in the EEG. Second, our analysis may not have captured all changes in brain activity evoked by the stimulus input. Although previous research has shown that somatosensory stimulation at 1.5, 2, and 3 times the motor threshold level increases event-related potential amplitude in proportion to stimulus intensity [ 30 ], our findings did not reveal significant differences in relative EEG power across stimulus intensities (Fig. 2 ) nor significant difference between the EMS condition and the resting condition. This may be due to the relatively low stimulus intensities used, as we limited stimulation to levels without pain or discomfort. In addition, the time windows in which event-related responses appeared may have been excluded to minimize noise derived from EMS pulses. Previous studies investigated methods for maintaining SoA and examined the relationship between SoA, SoO, EMS, and EEG. As previously mentioned, methods for providing EMS that shorten reaction times in switch-pressing tasks while maintaining SoA have been explored [12; 13]. When using avatar or rubber hands, changes in brain activity related to SoA and SoO have been investigated [ 11 , 16 ]. Brain activity during rest, when movement was evoked by a single EMS intensity, has also been investigated [ 22 ]. However, our study represents the first attempt to investigate SoA, SoO for one's own body parts, and brain activity in situations where movement is intervened in or evoked at various EMS intensities. We believe that our results would be useful for promoting motor learning using EMS. Crucially, to maintain SoA for movement learning and SoO for rehabilitation, EMS should be applied during voluntary movement at intensities ranging from the motor threshold level to a medium level between the motor threshold and maximum level without pain or discomfort. However, at the proposed intensity, movements that match the ideal magnitude may not be evoked. To enable users to voluntarily perform movements that match the ideal magnitude, it is necessary not only to apply EMS but also to provide visual guidance. In conclusion, our results showed that EMS should be applied in the intensity range from the level of the motor threshold to the medium level between the motor threshold and the maximum level where users do not feel pain or discomfort. In future work, we need to investigate changes in SoO in situations where the user’s own or another person's arm is visible, examine temporal changes in SoA and SoO, and further understand brain activity when movement is intervened in or evoked in detail. Methods Participants The study sample consisted of 18 healthy participants (16 males and two females, age 18–29). The dominant hand was the right hand for all participants. All participants provided written informed consent before the experiments. This study was approved by the Ethical Review Committee for Experimental Research Involving Human Subjects, Graduate School of Arts and Sciences, University of Tokyo, Japan and conducted in accordance with the Helsinki Declaration (2024). Experimental setup Participants sat on a height-adjustable chair. The distance between the chair and monitor (FlexScan EV2781, EIZO Corporation) was approximately 1 m. The chair height was adjusted so that participants could sit comfortably with their feet on the floor. An armrest was placed on each participant’s right side. Participants placed their right arm on the armrest with the palm facing left so that their hand did not touch the armrest. They adjusted the height and position of the armrest to allow comfortable wrist movement. EMS was performed using a constant-current electrical stimulator (USE-210; Unique Medical Co., Ltd.). Two electrodes were positioned on the forearm skin over the muscles activated during palmar flexion. The stimulation frequency was set at 50 Hz. The pulses were monophasic with a duration of 0.2 ms, and the number of trains was 10. The current intensity was adjusted individually for each participant. Two levels of current intensity were investigated: the weak level corresponded to the threshold for palmar flexion, and the strong level was the maximum intensity at which participants did not feel pain or discomfort. Wrist angles and EEG were recorded using a biosignal recorder (Polymate Pro MP6000, Miyuki Giken Co., Ltd.). A goniometer (4 Assist, Inc.) was placed on each participant’s wrist. EEG were recorded from 11 positions (F3, Fz, F4, T3, C3, Cz, C4, T4, P3, Pz, and P4) based on 10–20 system. Reference and ground electrodes were placed on the left mastoid. The sampling rate was 1000 Hz. Experimental paradigm Measurement of the maximum angle of palmar flexion Each participant's maximum palmar flexion angle was measured after the goniometer was set up and before the task began. Participants performed palmar flexion and maintained their wrist angle for 10 s. The average angle during this period was determined to be the maximum palmar flexion angle. This information was then used in the subsequent tasks. Task The tasks consisted of seven conditions in which participants either moved their wrist voluntarily or their wrist movement was intervened in or evoked by EMS, and one resting condition (Table 1). The EMS intensities for the weak and strong levels were those determined in the previous measurement, and the medium level was set as the midpoint between the weak and strong intensities. The instructions for each task were displayed on a monitor using MATLAB and PsychToolbox [ 31 – 33 ] (Fig. 3 ). V condition Figure 3 a shows the image of the V condition. First, the word "Move" was displayed in the center of the monitor for 5 s. For the next 5 s, the word "Ready" and bars were displayed in the center of the monitor. The white and black bars corresponded to the wrist angle. The left and right ends of the bar represented 90° palmar flexion and dorsiflexion, respectively. The length of the white bar was constant, while the length of the black bar changed in real-time, corresponding to the participant's wrist angle. The black bar extended and shortened when participants performed palmar flexion and dorsiflexion. The red line in the center of the white bar corresponded to 0°, and the red line on the left represented the participant's maximum palmar flexion angle. Participants were instructed to adjust the wrist angle to make it 0° while looking at the black bar. The instruction was given to prevent large eye movements, as such movements can generate noise in the EEG. Leftward and rightward arrows were alternately displayed above the bars for 1 s, 21 times each. Participants were instructed to perform palmar flexion to the maximum angle while the leftward arrow was displayed and to straighten their wrist when the rightward arrow appeared. They were instructed to look at the black bar and avoid blinking while the arrows were displayed. The task consisted of 21 trials to account for noise caused by body movement. In tasks involving EMS, participants tended to move their bodies instinctively during the first trial due to the initial EMS pulse. Therefore, one additional trial was included so that noise-free data from 20 trials could be used for analysis. Although EMS was not applied in the voluntary task, 21 trials were also conducted to prevent participants from noticing differences in trial numbers across tasks. V + WS/MS/SS conditions Figure 3 a shows the V + WS/MS/SS conditions. The content displayed on the monitor and instructions given to participants were the same as those in the voluntary task. The wrist angle was analyzed in real time during the task. EMS was applied when the angle of palmar flexion increased by 3° from that at the beginning of the leftward arrow display. EMS was applied after the leftward arrow appeared, except when the palmar flexion angle did not increase by 3° within 1 s. WS/MS/SS conditions Figure 3 b shows the WS/MS/SS conditions. First, the word "Relax" was displayed in the center of the monitor for 5 s. Then, a fixation cross was displayed at the center of the monitor, and EMS was applied 21 times, once every 2 s. Participants were instructed to look at the cross while avoiding eye blinks and keeping their wrists relaxed. Resting condition Figure 3 b also shows the resting condition. First, the word "Relax" was displayed in the center of the monitor for 5 s. Then, the fixation cross was displayed at the center of the monitor for 20 s. Participants were instructed to look at the cross while avoiding eyeblinks and relaxing their wrists. Procedure Four measurements were performed (Table 1). In the first run, the V and resting conditions were alternately performed five times each. In the second to fourth runs, the V + WS/V + MS/V + SS, WS/MS/SS, and resting conditions were alternately performed five times each in random order. The current intensities were weak, medium, and strong in the second, third, and fourth runs, respectively. The overall experimental paradigm was nearly identical to previous research investigating brain activity and SoA during voluntary hand movement [ 11 , 34 ]. In each run, there were 105 trials per task and 100 s of rest in total, as each task was carried out five times. During the measurements, participants’ back views were recorded using a web camera (C922n PRO HD, Logicool Co., Ltd.) at 30 fps. The video data were used to check for extra body movements during analysis. Survey by questionnaire A survey was conducted after the measurement to assess SoA, SoO, emotion, and fatigue. The tasks under the seven conditions were performed in random order. Each task comprised five trials. The instructions and cues for each task were identical to those used during the measurement. After each task, participants were verbally asked six questions (Table 2 ). They responded using a scale from 0 to 100, where 0 meant "I did not feel that at all," and 100 meant "I highly felt like that." The questions were based on those used to investigate SoA and SoO for avatars in VR [ 35 ]. SoA and SoO scores were calculated as follows: SoA = Q1-Q2, SoO = Q3-Q4. Analysis Preprocessing A bandpass filter (0.5–40 Hz) was applied to the EEG data using Brainstorm [ 36 ]. The data were segmented into 1-s epochs for EEG power calculation. In the V + WS/MS/SS and WS/MS/SS conditions, the epoch period was set to 1.0 s after EMS offset, that is, 0.22–1.22 s after the beginning of each trial, because the 0–0.22 s interval was contaminated by EMS noise. Under the V condition, the epoch was unified with that of the V + WS/MS/SS and WS/MS/SS conditions. In the resting condition, data were divided into 1-s epochs throughout the duration of the condition. EEG amplitudes were visualized in Brainstorm and inspected manually. When a rapid and substantial amplitude change was observed, the corresponding video recording was reviewed to check for body movements. Epochs that contained visible head or trunk movement were excluded from the analysis. Trials in which EMS was not applied—due to the absence of a ≥ 3° increase in palmar flexion within 1 s—were also excluded from the V + WS/MS/SS conditions. Calculation of EEG power The power spectrogram of each epoch was computed using a short-time Fourier transform (spectral window: Hamming window of length 500; number of overlapped samples: 250; number of discrete Fourier transform points: 500) in MATLAB. Trial-averaged power spectra were calculated for each condition and participant. Frequency-averaged power spectra were then computed for the alpha (8–12 Hz) and beta (13–30 Hz) frequency bands for each condition within each subject. The relative power between each condition and the resting condition was expressed as the decibel difference. Note, to standardize the signal-to-noise ratio, the relative power was calculated as the difference between the power of exercise condition and resting condition obtained during the same run. Specifically, the relative power of the V condition is the difference between the V and resting condition in the first run, and the relative power of the V + WS or WS, V + MS or MS, and V + SS or SS conditions are similarly determined by the difference between the respective condition and the resting condition in the second, third, and fourth runs. Data screening One of our aims was to evaluate differences in brain activity between voluntary movement and other conditions. Therefore, for each channel, we selected participants whose relative power in the V condition was negative, as voluntary movement typically produces a power decrease [ 11 , 22 ]. Outliers were removed using the interquartile range method to exclude data with abnormally large relative powers. Channels that showed significant power changes in the V condition compared to the resting condition of the first run (Wilcoxon signed-rank test, p < 0.05) were selected for further analyses. Similar to the calculation of relative power, the comparison between the power of exercise condition and resting condition was performed using combinations of data acquired during the same run. Statistics We analyzed the relative EEG power and survey scores to examine three types of differences: (1) between voluntary and other movements, that is, comparison between the V condition and each of the other conditions; (2) between movement modes, that is, comparison of pairs: V + WS vs. WS, V + MS vs. MS, and V + SS vs. SS; and (3) between EMS intensities. Relative EEG power was compared across all pairs of the seven conditions in the selected participants for each channel using the Friedman test ( p < 0.05, Bonferroni-corrected) in SPSS. For the further analysis, we selected the channels in each frequency band which had significant difference for the three comparisons as mentioned above. EEG power of the seven condition (V, V + WS/V + MS/V + SS, and WS/MS/SS conditions) and resting condition in the selected channel was compared, using the Wilcoxon signed-rank test ( p < 0.05), to investigate the power difference from the resting condition. Similarly, survey scores were compared across all condition pairs for each questionnaire item using the Friedman test ( p < 0.05, Bonferroni corrected) in SPSS. Declarations Funding This work was supported by the Council for Science, Technology, and Innovation, “Cross-ministerial Strategic Innovation Promotion Program (SIP): Development of Foundational Technologies and Rules for Expansion of the Virtual Economy" (JPJ012495; funding agency: NEDO). Acknowledgements We would like to thank Editage (www.editage.jp) for English language editing. Author contributions F.M. and D.Y. contributed to the conceptualization and methodology. F.M. was responsible for software, formal analysis, investigation, data curation, writing—original draft preparation, and visualization. D.Y. provided resources, supervision, project administration, and funding acquisition, and contributed to writing—review and editing. All authors have read and agreed to the published version of the manuscript. Data availability statement The EEG data, survey score, and analysis codes will be available at ZENODO (https://doi.org/10.5281/zenodo.17519975). Additional information Competing financial interests : The authors declare no competing financial interests. References Pfeiffer, M., Dünte, T., Schneegass, S., Alt, F. & Rohs, M. Cruise control for pedestrians: Controlling walking direction using electrical muscle stimulation. Proc. 33rd Annu. ACM Conf. Hum. Factors Comput. Syst. 2505–2514 (2015). Faltaous, S. et al. EMStriker: Potentials of enhancing the training process of racket-based sports via electrical muscle stimulation. Proc. 16th Int. Conf. Tangible, Embedded, Embodied Interact. 1–6 (2022). Parry, S. M. et al. Electrical muscle stimulation in the intensive care setting: A systematic review. Crit. Care Med. 41 , 2406–2418 (2013). Šarabon, N., Kozinc, Ž., Löfler, S. & Hofer, C. Resistance exercise, electrical muscle stimulation, and whole-body vibration in older adults: Systematic review and meta-analysis of randomized controlled trials. J. Clin. Med. 9 , 2902 (2020). Matsumiya, K. Awareness of voluntary action, rather than body ownership, improves motor control. Sci. Rep. 11 , 418 (2021). Kühn, S. et al. Whodunnit? Electrophysiological correlates of agency judgements. PLoS ONE . 6 , e28657 (2011). Bednark, J. G. & Franz, E. A. Agency attribution: Event-related potentials and outcome monitoring. Exp. Brain Res. 232 , 1117–1126 (2014). Sidarus, N., Vuorre, M. & Haggard, P. How action selection influences the sense of agency: An ERP study. Neuroimage 150 , 1–13 (2017). Wen, W., Yamashita, A. & Asama, H. Measurement of the perception of control during continuous movement using electroencephalography. Front. Hum. Neurosci. 11 , 392 (2017). Han, N., Jack, B. N., Hughes, G., Elijah, R. B. & Whitford, T. J. Sensory attenuation in the absence of movement: Differentiating motor action from sense of agency. Cortex 141 , 436–448 (2021). Kang, S. Y. et al. Brain networks responsible for sense of agency: An EEG study. PLoS ONE . 10 , e0137769 (2015). Kasahara, S., Nishida, J. & Lopes, P. Preemptive action: Accelerating human reaction using electrical muscle stimulation without compromising agency. Proc. 2019 CHI Conf. Hum. Factors Comput. Syst. 1–15 (2019). Nagai, M. et al. The effect of electrical muscle stimulation on intentional binding and explicit sense of agency. PeerJ. 12, e17977 (2024). (2024). Veillette, J. P., Lopes, P. & Nusbaum, H. C. Temporal dynamics of brain activity predicting sense of agency over muscle movements. J. Neurosci. 43 , 7842–7852 (2023). Peled, A., Ritsner, M., Hirschmann, S. & Geva, A. B. Modai, I. Touch feel illusion in schizophrenic patients. Biol. Psychiatry . 48 , 1105–1108 (2000). 16. 削除. Rao, I. S. & Kayser, C. Neurophysiological correlates of the rubber hand illusion in late evoked and alpha/beta band activity. Front. Hum. Neurosci. 11 , 377 (2017). Blefari, M. L., Cipriani, C. & Carrozza, M. C. A novel method for assessing sense of body ownership using electroencephalography. IEEE Trans. Biomed. Eng. 58 , 12–15 (2011). Bu–Omer, H. M. et al. Parieto-occipital alpha and low-beta EEG power reflect sense of agency. Brain Sci. 11, 743 Movements and body ownership: Evidence from the rubber hand illusion after mechanical limb immobilization. Neuropsychologia. 107, 41–47 (2017). (2021). Casula, E. P. et al. Feeling of ownership over an embodied avatar’s hand brings about fast changes of fronto-parietal cortical dynamics. J. Neurosci. 42 , 692–701 (2022). Stone, S. P., Halligan, P. W. & Greenwood, R. J. The incidence of neglect phenomena and related disorders in patients with an acute right or left hemisphere stroke. Age Ageing . 22 (1), 46–52 (1993). Meador, K. J., Loring, D. W., Feinberg, T. E., Lee, G. P. & Nichols, M. E. Anosognosia and asomatognosia during intracarotid amobarbital inactivation. Neurology 55 (6), 816–820 (2000). Müller, G. R. et al. Event-related beta EEG changes during wrist movements induced by functional electrical stimulation of forearm muscles in man. Neurosci. Lett. 340 , 143–147 (2003). Corbet, T., Iturrate, I., Pereira, M., Perdikis, S. & Millán, J. D. R. Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance. Neuroimage 176 , 268–276 (2018). Tamaki, E., Miyaki, T., Rekimoto, J. & PossessedHand A hand gesture manipulation system. Proc. 1st Augment Hum. Int. Conf. 4 , 1–5 (2010). Tamaki, E., Miyaki, T., Rekimoto, J. & PossessedHand Techniques for controlling human hands using electrical muscles stimuli. Proc. SIGCHI Conf. Hum. Factors Comput. Syst. 543–552 (2011). Pfurtscheller, G. Lopes da Silva, F. Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clin. Neurophysiol. 110 , 1842–1857 (1999). Kandel, E. R. et al. Principles of Neural Science 5 edn (McGraw-Hill Medical, 2012). Murata, A., Wen, W. & Asama, H. The body and objects represented in the ventral stream of the parieto-premotor network. Neurosci. Res. 104 , 4–15 (2016). Felten, D. L. & Shetty, A. Netter’s Atlas of Neuroscience 2nd edn (Elsevier Health Sciences, 2009). Iramina, K. et al. Effects of stimulus intensity on fMRI and MEG in somatosensory cortex using electrical stimulation. IEEE Trans. Magn. 35 , 4106–4108 (1999). Brainard, D. H. The Psychophysics Toolbox. Spat. Vis. 10 , 433–436 (1997). Pelli, D. G. The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spat. Vis. 10 , 437–442 (1997). Kleiner, M. et al. What's new in Psychtoolbox-3? A free cross-platform toolkit for Psychophysics. Perception 36 , 1–16 (2007). Nahab, F. B. et al. The neural processes underlying self-agency. Cereb. cortex . 21 (1), 48–55 (2011). Gonzalez-Franco, M. & Peck, T. C. Avatar embodiment: Toward a standardized questionnaire. Front. Robot AI . 5 , 74 (2018). Tadel, F., Baillet, S., Mosher, J. C., Pantazis, D. & Leahy, R. M. Brainstorm: A user-friendly application for MEG/EEG analysis. Comput. Intell. Neurosci. 2011 (1), 879716 (2011). Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 12 Dec, 2025 Reviews received at journal 12 Dec, 2025 Reviews received at journal 11 Dec, 2025 Reviews received at journal 10 Dec, 2025 Reviewers agreed at journal 10 Dec, 2025 Reviewers agreed at journal 10 Dec, 2025 Reviewers agreed at journal 09 Dec, 2025 Reviewers agreed at journal 09 Dec, 2025 Reviewers agreed at journal 09 Dec, 2025 Reviews received at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers invited by journal 08 Dec, 2025 Editor invited by journal 11 Nov, 2025 Editor assigned by journal 07 Nov, 2025 Submission checks completed at journal 07 Nov, 2025 First submitted to journal 05 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8043349","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":558489394,"identity":"d3c5e878-854d-414b-99e4-817230afd081","order_by":0,"name":"Fumina Mori","email":"data:image/png;base64,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","orcid":"","institution":"The University of Tokyo","correspondingAuthor":true,"prefix":"","firstName":"Fumina","middleName":"","lastName":"Mori","suffix":""},{"id":558489395,"identity":"5c2f2489-e227-4a38-ba54-16a59f73e123","order_by":1,"name":"Dai Yanagihara","email":"","orcid":"","institution":"The University of Tokyo","correspondingAuthor":false,"prefix":"","firstName":"Dai","middleName":"","lastName":"Yanagihara","suffix":""}],"badges":[],"createdAt":"2025-11-06 03:53:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8043349/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8043349/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":98424242,"identity":"0c8034f8-c203-44f1-a200-d3569b1073b6","added_by":"auto","created_at":"2025-12-17 16:33:06","extension":"jpg","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":584346,"visible":true,"origin":"","legend":"","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/90f761a972d7a42e0f75a59e.jpg"},{"id":97980450,"identity":"600c9e4c-8313-42f1-a705-1ac3fbdd1f2a","added_by":"auto","created_at":"2025-12-11 12:39:53","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":76664,"visible":true,"origin":"","legend":"","description":"","filename":"Draftver20251105.docx","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/b9c48d7a0665ed4ee169bc5f.docx"},{"id":97980452,"identity":"10bee489-cf51-4daf-bd4b-711a69c5a075","added_by":"auto","created_at":"2025-12-11 12:39:53","extension":"jpg","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":450488,"visible":true,"origin":"","legend":"","description":"","filename":"Figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/7438bffd39c0e95d3da088b7.jpg"},{"id":97980459,"identity":"d27a23ae-f1fe-4694-b48f-9773a4ff47c2","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"jpg","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":604204,"visible":true,"origin":"","legend":"","description":"","filename":"Figure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/34dfd3339956cb6831bf4a88.jpg"},{"id":97980458,"identity":"71283934-6de0-4937-8ff0-7039545a08eb","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"json","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4513,"visible":true,"origin":"","legend":"","description":"","filename":"83a98a5f09404f4f8d76d2f16d7f49ef.json","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/006e676e01dee66707edb77c.json"},{"id":97980455,"identity":"d93aac51-8419-4ff1-95e7-c35de4287ec2","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"xml","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":85937,"visible":true,"origin":"","legend":"","description":"","filename":"83a98a5f09404f4f8d76d2f16d7f49ef1enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/ba15231bd8bffa5e8b0d3213.xml"},{"id":98423749,"identity":"9acc8716-a110-4a25-bb0d-3869a715de2b","added_by":"auto","created_at":"2025-12-17 16:32:34","extension":"jpg","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":584346,"visible":true,"origin":"","legend":"","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/0e20cf72a8d77839acd3499c.jpg"},{"id":98424431,"identity":"a23da1e3-c353-4909-a829-899e2d56fb8a","added_by":"auto","created_at":"2025-12-17 16:33:20","extension":"jpg","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":450488,"visible":true,"origin":"","legend":"","description":"","filename":"Figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/515dca604218b83dc78f5131.jpg"},{"id":97980463,"identity":"b23a4cf6-2c7e-418c-a812-851e1d734a01","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"jpg","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":604204,"visible":true,"origin":"","legend":"","description":"","filename":"Figure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/306978daf90fe52352272e72.jpg"},{"id":97980461,"identity":"dd4dfaf7-fd17-436a-b65a-f64ecb78ac0d","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"png","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":177408,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineFigure1.png","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/e440c28d105b93d71704df67.png"},{"id":97980453,"identity":"e285762f-2105-47c1-99ea-0fad189e13a2","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"png","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":120696,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineFigure2.png","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/b263e76639f3df55f16e3f26.png"},{"id":98424463,"identity":"88754d09-b797-4015-a6aa-05e3d13575a0","added_by":"auto","created_at":"2025-12-17 16:33:23","extension":"png","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":181158,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineFigure3.png","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/c838d4e9eec6405f41e6f9c3.png"},{"id":98424083,"identity":"0f2ee94e-992a-421f-af92-69cc2acc05d6","added_by":"auto","created_at":"2025-12-17 16:32:55","extension":"xml","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":85529,"visible":true,"origin":"","legend":"","description":"","filename":"83a98a5f09404f4f8d76d2f16d7f49ef1structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/8589ec4d9bb8a69defa5a861.xml"},{"id":97980466,"identity":"acf6a265-ee32-4dae-aacf-454b16c92f1e","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"html","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":97061,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/3722345cdbeaa6c4d9eaef00.html"},{"id":97980464,"identity":"8fbad48a-e46e-4b27-b76e-e9cbe42652b0","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":584346,"visible":true,"origin":"","legend":"\u003cp\u003eData from each participant. Means and standard deviations are presented for (a) SoA, (b) SoO, (c) fatigue, and (d) emotion. * \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05, ** \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001; Friedman test. Only significant difference markers for the three comparisons are shown: (1) the difference between voluntary and other movements (between the V condition and other conditions); (2) the difference between movement modes (between V + WS and WS, V + MS and MS, or V + SS and SS; and (3) the difference between EMS intensities (among V + WS, V + MS, and V + SS, or among WS, MS, and SS.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations:\u003c/strong\u003e SoA, sense of agency; SoO, sense of ownership; EMS, electrical muscle stimulation; V, voluntary movement; WS, weak stimulation; MS, medium stimulation; SS, strong stimulation.\u003c/p\u003e","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/d82d5ee8712dc1a6a73d2fff.jpg"},{"id":97980451,"identity":"1df9fe62-0776-478a-8cc9-00a034075400","added_by":"auto","created_at":"2025-12-11 12:39:53","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":450488,"visible":true,"origin":"","legend":"\u003cp\u003eData from each participant. Means and standard deviations are presented in each panel (a-e): (a) T3 channel of the alpha band, (b-d) C3, Cz, and P4 channels of the beta band, (e) Pz channel of the alpha band, and (f) P4 channel of the beta band. * \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05, ** \u003cem\u003ep\u003c/em\u003e\u0026lt; 0.001; Friedman test. Only significant difference markers for the three comparisons are shown: (1) the difference between voluntary and other movements, that is, between the V condition and the other conditions; (2) the difference between movement modes, that is, between V+WS and WS, V+MS and MS, or V+SS and SS; and (3) the difference between EMS intensities, that is, among V+WS, V+MS and V+SS, or among WS, MS, and SS. (g) The location of channels with significant differences.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations:\u003c/strong\u003e V, voluntary movement; WS, weak stimulation; MS, medium stimulation; SS, strong stimulation; EMS, electrical muscle stimulation.\u003c/p\u003e","description":"","filename":"Figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/69ee2d65de48a866a419213e.jpg"},{"id":97980456,"identity":"846d23c1-e0e6-44b9-a182-853752a83548","added_by":"auto","created_at":"2025-12-11 12:39:54","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":604204,"visible":true,"origin":"","legend":"\u003cp\u003eFlow and instructions for the tasks in (a) the V condition and V + WS/MS/SS conditions, and (b) the WS/MS/SS conditions and Rest condition. The central part of the display is enlarged for clarity. The actual display pixel size (height*width) was 2560*1440; font and fixation cross size, 30; white bar size, 180 *10; and red line size, 3*10.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbbreviations:\u003c/strong\u003e V, voluntary movement; WS, weak stimulation; MS, medium stimulation; SS, strong stimulation.\u003c/p\u003e","description":"","filename":"Figure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/095c3fd81be0c196fdca8d73.jpg"},{"id":98622054,"identity":"07b3aac4-cf56-431a-b155-46653e95ca73","added_by":"auto","created_at":"2025-12-19 16:43:32","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2144303,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8043349/v1/c9d95942-4c45-4b8e-a5c7-203f51835fb5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership","fulltext":[{"header":"Introduction","content":"\u003cp\u003eElectrical muscle stimulation (EMS) induces passive contraction of target muscles and has potential applications in exercise guidance and rehabilitation for inpatients and older adults [\u003cspan additionalcitationids=\"CR2 CR3\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, EMS evokes artificial movements regardless of the user's intention, which may reduce the user's sense of agency (SoA: the feeling that \u0026ldquo;I am the one who causes this event\u0026rdquo;) and sense of ownership (SoO: the feeling that \u0026ldquo;the body experiencing this event is my body\u0026rdquo;), and may also affect brain activity.\u003c/p\u003e\u003cp\u003eThe strength of SoA facilitates motor learning [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]; however, how EMS affects SoA remains unclear. Most studies on SoA have evaluated it in terms of whether one perceives oneself as controlling the visual or auditory feedback resulting from one\u0026rsquo;s own movement [\u003cspan additionalcitationids=\"CR7 CR8 CR9\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. More recently, several studies have evaluated SoA in relation to whether an individual perceives themselves as controlling an avatar\u0026rsquo;s or their own body movements [\u003cspan additionalcitationids=\"CR12 CR13\" citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Kang et al. [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] synchronized participants' hand movement with that of an avatar\u0026rsquo;s hand on a monitor (0\u0026ndash;100%) and measured brain activity using electroencephalography (EEG). They reported that increases in SoA were associated with decreases in EEG power during movement relative to rest in the alpha (8\u0026ndash;12 Hz) and beta (13\u0026ndash;30 Hz) bands. EMS studies evaluating SoA for a user's own body movements have investigated the optimal stimulation timing to maintain SoA [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e], neural activity associated with the determination of SoA [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], and the effectiveness of EMS in guiding position during racket sports [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. However, to the best of our knowledge, it remains unclear whether SoA differs depending on the intensity of EMS or whether EMS is applied during voluntary movement versus at rest.\u003c/p\u003e\u003cp\u003eMost studies on SoO have focused on the rubber hand illusion, in which participants feel that tactile stimuli presented to a fake rubber or avatar hand are actually presented to their body [\u003cspan additionalcitationids=\"CR16 CR17 CR18\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Studies focusing on ownership of one's own body have reported decreased SoO in patients with post-stroke effects or intracarotid amobarbital inactivation [20 21]. However, it remains unclear whether SoO changes in one\u0026rsquo;s own body parts\u0026mdash;not artificial ones\u0026mdash;under the influence of EMS.\u003c/p\u003e\u003cp\u003eFew studies have investigated changes in brain activity during EMS-evoked body movement [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. These studies applied EMS during rest or motor imagery and showed that EEG power relative to rest decreased in the alpha (mu) or beta bands. However, the difference in brain activity between voluntary and externally evoked movements, as well as the effects of EMS intensity, remain unclear. Furthermore, brain activity when EMS is applied during voluntary movements has not yet been investigated.\u003c/p\u003e\u003cp\u003eThis study aimed to determine whether SoA, SoO, and brain activity differ depending on the intensity of EMS and whether EMS is applied during voluntary movements or at rest. This investigation may contribute not only to exercise guidance and rehabilitation, but also to the development of technology [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e] for sharing proprioception during movement using EMS. We focused on movements involving the forearm muscles (palmar flexion), for which proprioceptive-sharing devices have already been developed [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. We measured EEG and conducted a survey on SoA and SoO during voluntary movement alone, voluntary movement with EMS applied, and resting with EMS applied. We compared differences in survey scores and EEG power between voluntary and other movement conditions, between movement modes at the same EMS intensity, and between different EMS intensities.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eSurvey scores\u003c/p\u003e\u003cp\u003eA survey (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e) was conducted to assess SoA, SoO, emotions, and fatigue in the V condition, where participants performed wrist flexion voluntarily; in the V\u0026thinsp;+\u0026thinsp;WS/V\u0026thinsp;+\u0026thinsp;MS/V\u0026thinsp;+\u0026thinsp;SS conditions, where EMS was applied at three levels of intensity while participants performed wrist flexion voluntarily; and in the WS/MS/SS conditions, where EMS was applied at three levels of intensity while participants were at rest. WS, MS, and SS indicated weak, medium, and strong EMS intensities, respectively. Weak EMS corresponded to the motor threshold level of palmar flexion; strong EMS was the maximum level at which participants did not feel pain or discomfort; and medium EMS was the intermediate level between weak and strong EMS. Participants verbally reported their feelings on a scale from 0 to 100, where 0 indicated \"I did not feel like that at all,\" and 100 indicated \"I highly felt like that.\" For SoA and SoO, two questions were asked for each construct, and differential scores between the two questions were analyzed. For emotion and fatigue, one question was asked per construct, and the raw scores were analyzed. Scores for all seven conditions were compared for all participants using the Friedman test (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Bonferroni-corrected).\u003c/p\u003e\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eQuestions in the survey\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNumber\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFeeling\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eQuestion\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSoA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDid you feel like you could control your own arm?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSoA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDid you feel like your arm was controlled by the electrical stimuli?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSoO\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDid you feel like your arm was your arm?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSoO\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDid you feel like your arm was someone else's arm?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFatigue\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eDid you feel fatigue?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eQ6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eEmotion\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eWere you excited?\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eWhen comparing voluntary movement with other conditions (that is V vs. the other conditions), significant differences were found for SoA, SoO, and emotion. For SoA, four pairs showed significant score differences (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea V vs. WS/MS/SS/V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.013/\u0026lt;0.001/\u0026lt;0.001/\u0026lt;0.001), with SoA scores lower in conditions other than voluntary movement. For SoO, four pairs also showed significant score differences (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eb; V vs. WS/MS/SS/V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020\u0026thinsp;\u0026lt;\u0026thinsp;0.001/\u0026lt;0.001/\u0026lt;0.001), with SoO scores lower in non-voluntary conditions. For emotion, two pairs showed significant differences (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ed; V vs. SS/V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001/0.002), with emotional scores higher in conditions other than voluntary movement.\u003c/p\u003e\u003cp\u003eIn the comparison between movement modes (V\u0026thinsp;+\u0026thinsp;WS vs. WS, V\u0026thinsp;+\u0026thinsp;MS vs. MS, or V\u0026thinsp;+\u0026thinsp;SS vs. SS), a significant difference was found in SoA (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ea; V\u0026thinsp;+\u0026thinsp;MS vs. MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.013), with SoA scores higher during voluntary movement than during EMS-only conditions.\u003c/p\u003e\u003cp\u003eWhen comparing EMS intensities (among V\u0026thinsp;+\u0026thinsp;WS, V\u0026thinsp;+\u0026thinsp;MS, and V\u0026thinsp;+\u0026thinsp;SS, or among WS, MS, and SS), differences were observed for SoA, SoO, fatigue, and emotion. All significant differences occurred between weak and strong EMS intensities in the EMS-only movement condition (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ea-d; SoA: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001; SoO: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020; Fatigue: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003; Emotion: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.015). The SoA and SoO scores were higher, while fatigue and emotion scores were lower, at weak intensities.\u003c/p\u003e\u003cp\u003eEEG Power\u003c/p\u003e\u003cp\u003eSeven conditions were tested as mentioned above, and EEG measurements were obtained. The relative EEG power between each condition and the resting condition was calculated. All channels in each frequency band were selected in the data screening. We compared the relative EEG power for all pairs of the seven conditions for the selected participants in each channel, using the Friedman test (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05, Bonferroni-corrected).\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the EEG channels that exhibited significant differences in one or more of the following comparisons: (1) between voluntary and other movements; (2) between movement modes at the same EMS intensity; and (3) between EMS intensities. For the comparison between voluntary and other movements, significant differences were observed in three channels in the beta band (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ec, d, and f): Cz (V vs. MS/SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.028/0.020), C4 (V vs. WS/SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031/0.016) and P4 (V vs. WS/MS/SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.,013/0.040/0.040). In these channels, relative power was lower during voluntary movements than during EMS-only movements. For the comparison between movement modes, two channels in the alpha band and two channels in the beta band showed significant differences (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ea, e, b, and c): Alpha-T3 (V\u0026thinsp;+\u0026thinsp;SS vs. SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.027), Alpha-Pz (V\u0026thinsp;+\u0026thinsp;MS vs. MS: p\u0026thinsp;=\u0026thinsp;0.044), Beta-C3 (V\u0026thinsp;+\u0026thinsp;MS vs. MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.033), and Beta-Cz (V\u0026thinsp;+\u0026thinsp;MS vs. MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020). In these channels, relative power was lower in conditions with voluntary movement than in the EMS-only conditions. For the comparison between EMS intensities, no channels showed significant differences in either the alpha or beta bands.\u003c/p\u003e\u003cp\u003eWe investigate the power difference between the seven conditions and resting condition in the channels mentioned above, using the Wilcoxon signed-rank test (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In the alpha band, significant differences were observed in V, V\u0026thinsp;+\u0026thinsp;WS, V\u0026thinsp;+\u0026thinsp;MS, and V\u0026thinsp;+\u0026thinsp;SS conditions: T3 (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.016, V\u0026thinsp;+\u0026thinsp;WS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.047, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.016) and Pz (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031, V\u0026thinsp;+\u0026thinsp;WS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.031). In the beta band, significant differences were observed in V, V\u0026thinsp;+\u0026thinsp;MS ,and V\u0026thinsp;+\u0026thinsp;SS conditions: C3 (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.004), Cz (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.001, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005), C4 (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.008, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.010), and P4 (V: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002, V\u0026thinsp;+\u0026thinsp;MS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002, V\u0026thinsp;+\u0026thinsp;SS: \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.002). In both bands, the EMS-only movements (WS/MS/SS conditions) had no significance.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eRegarding SoA and SoO, our results indicate that EMS should be applied during voluntary movement at intensities ranging from the motor threshold level to a medium level between the motor threshold level and the maximum level without pain or discomfort to maintain SoA and SoO. In this study, no significant differences in SoA or SoO were found at these levels compared with voluntary movement alone (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea, b). As the degree of SoA contributes to motor learning [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e], we propose using EMS within the intensity range described above when applying EMS to sports training and rehabilitation programs requiring motor learning. However, our results indicate a trade-off relationship between SoA, SoO, fatigue, and emotion (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). If the technology for sharing proprioception via EMS [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e] is further developed, it could be applied in contexts where motor learning is unnecessary, for example, when one wishes to experience another person's proprioception during movement, where a higher-intensity EMS may enhance entertainment value.\u003c/p\u003e\u003cp\u003eWe acknowledge two limitations in the investigation of SoA and SoO. First, to prevent noise from eye blinks or eye movements, participants were instructed to look at a fixation point on the screen or a bar indicating their current wrist angle rather than at their own arm. Therefore, SoO may differ if participants view their own or another person's arm. Second, because the survey was administered only at the end of the measurement period, temporal changes in SoA and SoO remain unknown. If EMS is repeated, SoA and SoO may change over time as participants become accustomed to the stimulus input.\u003c/p\u003e\u003cp\u003eRegarding brain activity, our results suggest that when motor behaviors are evoked by EMS within a pain-free intensity range during voluntary movement, brain activity may not significantly differ from that observed during voluntary movement alone. Two possible explanations are outlined below:\u003c/p\u003e\u003cp\u003eFirst, changes in brain activity during voluntary movement were detected regardless of the presence of EMS. During voluntary movement, relative EEG power was lower in the channels near the motor cortex and right parietal region than when movement was evoked by EMS during rest (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eF). Given that relative EEG power decreases as brain activity increases [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], our results suggest that the brain is more active during voluntary movement. The motor cortex generates movement commands [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. In the voluntary movement tasks with or without EMS, participants continuously moved their hands. Therefore, the motor cortex remained active throughout the tasks, as reflected in the EEG. The parietal cortex, which is active during the initiation and planning stages of movement and receives visual input [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e], was also likely engaged. Given that participants adjusted their movements while watching a bar that expanded and contracted from the center toward the left side of their visual field, visual information from this left-sided field was transmitted to the right visual and parietal cortices [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e], which may have been reflected in the EEG.\u003c/p\u003e\u003cp\u003eSecond, our analysis may not have captured all changes in brain activity evoked by the stimulus input. Although previous research has shown that somatosensory stimulation at 1.5, 2, and 3 times the motor threshold level increases event-related potential amplitude in proportion to stimulus intensity [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], our findings did not reveal significant differences in relative EEG power across stimulus intensities (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) nor significant difference between the EMS condition and the resting condition. This may be due to the relatively low stimulus intensities used, as we limited stimulation to levels without pain or discomfort. In addition, the time windows in which event-related responses appeared may have been excluded to minimize noise derived from EMS pulses.\u003c/p\u003e\u003cp\u003ePrevious studies investigated methods for maintaining SoA and examined the relationship between SoA, SoO, EMS, and EEG. As previously mentioned, methods for providing EMS that shorten reaction times in switch-pressing tasks while maintaining SoA have been explored [12; 13]. When using avatar or rubber hands, changes in brain activity related to SoA and SoO have been investigated [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Brain activity during rest, when movement was evoked by a single EMS intensity, has also been investigated [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. However, our study represents the first attempt to investigate SoA, SoO for one's own body parts, and brain activity in situations where movement is intervened in or evoked at various EMS intensities.\u003c/p\u003e\u003cp\u003eWe believe that our results would be useful for promoting motor learning using EMS. Crucially, to maintain SoA for movement learning and SoO for rehabilitation, EMS should be applied during voluntary movement at intensities ranging from the motor threshold level to a medium level between the motor threshold and maximum level without pain or discomfort. However, at the proposed intensity, movements that match the ideal magnitude may not be evoked. To enable users to voluntarily perform movements that match the ideal magnitude, it is necessary not only to apply EMS but also to provide visual guidance.\u003c/p\u003e\u003cp\u003eIn conclusion, our results showed that EMS should be applied in the intensity range from the level of the motor threshold to the medium level between the motor threshold and the maximum level where users do not feel pain or discomfort. In future work, we need to investigate changes in SoO in situations where the user’s own or another person's arm is visible, examine temporal changes in SoA and SoO, and further understand brain activity when movement is intervened in or evoked in detail.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eParticipants\u003c/p\u003e\u003cp\u003eThe study sample consisted of 18 healthy participants (16 males and two females, age 18–29). The dominant hand was the right hand for all participants. All participants provided written informed consent before the experiments. This study was approved by the Ethical Review Committee for Experimental Research Involving Human Subjects, Graduate School of Arts and Sciences, University of Tokyo, Japan and conducted in accordance with the Helsinki Declaration (2024).\u003c/p\u003e\u003cp\u003eExperimental setup\u003c/p\u003e\u003cp\u003eParticipants sat on a height-adjustable chair. The distance between the chair and monitor (FlexScan EV2781, EIZO Corporation) was approximately 1 m. The chair height was adjusted so that participants could sit comfortably with their feet on the floor. An armrest was placed on each participant’s right side. Participants placed their right arm on the armrest with the palm facing left so that their hand did not touch the armrest. They adjusted the height and position of the armrest to allow comfortable wrist movement.\u003c/p\u003e\u003cp\u003eEMS was performed using a constant-current electrical stimulator (USE-210; Unique Medical Co., Ltd.). Two electrodes were positioned on the forearm skin over the muscles activated during palmar flexion. The stimulation frequency was set at 50 Hz. The pulses were monophasic with a duration of 0.2 ms, and the number of trains was 10. The current intensity was adjusted individually for each participant. Two levels of current intensity were investigated: the weak level corresponded to the threshold for palmar flexion, and the strong level was the maximum intensity at which participants did not feel pain or discomfort.\u003c/p\u003e\u003cp\u003eWrist angles and EEG were recorded using a biosignal recorder (Polymate Pro MP6000, Miyuki Giken Co., Ltd.). A goniometer (4 Assist, Inc.) was placed on each participant’s wrist. EEG were recorded from 11 positions (F3, Fz, F4, T3, C3, Cz, C4, T4, P3, Pz, and P4) based on 10–20 system. Reference and ground electrodes were placed on the left mastoid. The sampling rate was 1000 Hz.\u003c/p\u003e\u003cp\u003eExperimental paradigm\u003c/p\u003e\u003cp\u003eMeasurement of the maximum angle of palmar flexion\u003c/p\u003e\u003cp\u003eEach participant's maximum palmar flexion angle was measured after the goniometer was set up and before the task began. Participants performed palmar flexion and maintained their wrist angle for 10 s. The average angle during this period was determined to be the maximum palmar flexion angle. This information was then used in the subsequent tasks.\u003c/p\u003e\u003cp\u003eTask\u003c/p\u003e\u003cp\u003eThe tasks consisted of seven conditions in which participants either moved their wrist voluntarily or their wrist movement was intervened in or evoked by EMS, and one resting condition (Table\u0026nbsp;1). The EMS intensities for the weak and strong levels were those determined in the previous measurement, and the medium level was set as the midpoint between the weak and strong intensities. The instructions for each task were displayed on a monitor using MATLAB and PsychToolbox [\u003cspan additionalcitationids=\"CR32\" citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e–\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e] (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eV condition\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea shows the image of the V condition. First, the word \"Move\" was displayed in the center of the monitor for 5 s. For the next 5 s, the word \"Ready\" and bars were displayed in the center of the monitor. The white and black bars corresponded to the wrist angle. The left and right ends of the bar represented 90° palmar flexion and dorsiflexion, respectively. The length of the white bar was constant, while the length of the black bar changed in real-time, corresponding to the participant's wrist angle. The black bar extended and shortened when participants performed palmar flexion and dorsiflexion. The red line in the center of the white bar corresponded to 0°, and the red line on the left represented the participant's maximum palmar flexion angle. Participants were instructed to adjust the wrist angle to make it 0° while looking at the black bar. The instruction was given to prevent large eye movements, as such movements can generate noise in the EEG.\u003c/p\u003e\u003cp\u003eLeftward and rightward arrows were alternately displayed above the bars for 1 s, 21 times each. Participants were instructed to perform palmar flexion to the maximum angle while the leftward arrow was displayed and to straighten their wrist when the rightward arrow appeared. They were instructed to look at the black bar and avoid blinking while the arrows were displayed.\u003c/p\u003e\u003cp\u003eThe task consisted of 21 trials to account for noise caused by body movement. In tasks involving EMS, participants tended to move their bodies instinctively during the first trial due to the initial EMS pulse. Therefore, one additional trial was included so that noise-free data from 20 trials could be used for analysis. Although EMS was not applied in the voluntary task, 21 trials were also conducted to prevent participants from noticing differences in trial numbers across tasks.\u003c/p\u003e\u003cp\u003eV + WS/MS/SS conditions\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea shows the V + WS/MS/SS conditions. The content displayed on the monitor and instructions given to participants were the same as those in the voluntary task. The wrist angle was analyzed in real time during the task. EMS was applied when the angle of palmar flexion increased by 3° from that at the beginning of the leftward arrow display. EMS was applied after the leftward arrow appeared, except when the palmar flexion angle did not increase by 3° within 1 s.\u003c/p\u003e\u003cp\u003eWS/MS/SS conditions\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eb shows the WS/MS/SS conditions. First, the word \"Relax\" was displayed in the center of the monitor for 5 s. Then, a fixation cross was displayed at the center of the monitor, and EMS was applied 21 times, once every 2 s. Participants were instructed to look at the cross while avoiding eye blinks and keeping their wrists relaxed.\u003c/p\u003e\u003cp\u003eResting condition\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eb also shows the resting condition. First, the word \"Relax\" was displayed in the center of the monitor for 5 s. Then, the fixation cross was displayed at the center of the monitor for 20 s. Participants were instructed to look at the cross while avoiding eyeblinks and relaxing their wrists.\u003c/p\u003e\u003cp\u003eProcedure\u003c/p\u003e\u003cp\u003eFour measurements were performed (Table\u0026nbsp;1). In the first run, the V and resting conditions were alternately performed five times each. In the second to fourth runs, the V + WS/V + MS/V + SS, WS/MS/SS, and resting conditions were alternately performed five times each in random order. The current intensities were weak, medium, and strong in the second, third, and fourth runs, respectively. The overall experimental paradigm was nearly identical to previous research investigating brain activity and SoA during voluntary hand movement [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. In each run, there were 105 trials per task and 100 s of rest in total, as each task was carried out five times. During the measurements, participants’ back views were recorded using a web camera (C922n PRO HD, Logicool Co., Ltd.) at 30 fps. The video data were used to check for extra body movements during analysis.\u003c/p\u003e\u003cp\u003eSurvey by questionnaire\u003c/p\u003e\u003cp\u003eA survey was conducted after the measurement to assess SoA, SoO, emotion, and fatigue. The tasks under the seven conditions were performed in random order. Each task comprised five trials. The instructions and cues for each task were identical to those used during the measurement. After each task, participants were verbally asked six questions (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e). They responded using a scale from 0 to 100, where 0 meant \"I did not feel that at all,\" and 100 meant \"I highly felt like that.\" The questions were based on those used to investigate SoA and SoO for avatars in VR [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. SoA and SoO scores were calculated as follows:\u003c/p\u003e\u003cp\u003eSoA = Q1-Q2,\u003c/p\u003e\u003cp\u003eSoO = Q3-Q4.\u003c/p\u003e\u003cp\u003eAnalysis\u003c/p\u003e\u003cp\u003ePreprocessing\u003c/p\u003e\u003cp\u003eA bandpass filter (0.5–40 Hz) was applied to the EEG data using Brainstorm [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The data were segmented into 1-s epochs for EEG power calculation. In the V + WS/MS/SS and WS/MS/SS conditions, the epoch period was set to 1.0 s after EMS offset, that is, 0.22–1.22 s after the beginning of each trial, because the 0–0.22 s interval was contaminated by EMS noise. Under the V condition, the epoch was unified with that of the V + WS/MS/SS and WS/MS/SS conditions. In the resting condition, data were divided into 1-s epochs throughout the duration of the condition.\u003c/p\u003e\u003cp\u003eEEG amplitudes were visualized in Brainstorm and inspected manually. When a rapid and substantial amplitude change was observed, the corresponding video recording was reviewed to check for body movements. Epochs that contained visible head or trunk movement were excluded from the analysis. Trials in which EMS was not applied—due to the absence of a ≥ 3° increase in palmar flexion within 1 s—were also excluded from the V + WS/MS/SS conditions.\u003c/p\u003e\u003cp\u003eCalculation of EEG power\u003c/p\u003e\u003cp\u003eThe power spectrogram of each epoch was computed using a short-time Fourier transform (spectral window: Hamming window of length 500; number of overlapped samples: 250; number of discrete Fourier transform points: 500) in MATLAB. Trial-averaged power spectra were calculated for each condition and participant. Frequency-averaged power spectra were then computed for the alpha (8–12 Hz) and beta (13–30 Hz) frequency bands for each condition within each subject. The relative power between each condition and the resting condition was expressed as the decibel difference. Note, to standardize the signal-to-noise ratio, the relative power was calculated as the difference between the power of exercise condition and resting condition obtained during the same run. Specifically, the relative power of the V condition is the difference between the V and resting condition in the first run, and the relative power of the V + WS or WS, V + MS or MS, and V + SS or SS conditions are similarly determined by the difference between the respective condition and the resting condition in the second, third, and fourth runs.\u003c/p\u003e\u003cp\u003eData screening\u003c/p\u003e\u003cp\u003eOne of our aims was to evaluate differences in brain activity between voluntary movement and other conditions. Therefore, for each channel, we selected participants whose relative power in the V condition was negative, as voluntary movement typically produces a power decrease [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Outliers were removed using the interquartile range method to exclude data with abnormally large relative powers. Channels that showed significant power changes in the V condition compared to the resting condition of the first run (Wilcoxon signed-rank test, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05) were selected for further analyses. Similar to the calculation of relative power, the comparison between the power of exercise condition and resting condition was performed using combinations of data acquired during the same run.\u003c/p\u003e\u003cp\u003eStatistics\u003c/p\u003e\u003cp\u003eWe analyzed the relative EEG power and survey scores to examine three types of differences: (1) between voluntary and other movements, that is, comparison between the V condition and each of the other conditions; (2) between movement modes, that is, comparison of pairs: V + WS vs. WS, V + MS vs. MS, and V + SS vs. SS; and (3) between EMS intensities. Relative EEG power was compared across all pairs of the seven conditions in the selected participants for each channel using the Friedman test (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05, Bonferroni-corrected) in SPSS. For the further analysis, we selected the channels in each frequency band which had significant difference for the three comparisons as mentioned above. EEG power of the seven condition (V, V + WS/V + MS/V + SS, and WS/MS/SS conditions) and resting condition in the selected channel was compared, using the Wilcoxon signed-rank test (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05), to investigate the power difference from the resting condition.\u003c/p\u003e\u003cp\u003eSimilarly, survey scores were compared across all condition pairs for each questionnaire item using the Friedman test (\u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05, Bonferroni corrected) in SPSS.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eThis work was supported by the Council for Science, Technology, and Innovation, \u0026ldquo;Cross-ministerial Strategic Innovation Promotion Program (SIP): Development of Foundational Technologies and Rules for Expansion of the Virtual Economy\u0026quot; (JPJ012495; funding agency: NEDO).\u003c/p\u003e\n\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eWe would like to thank Editage (www.editage.jp) for English language editing.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAuthor contributions\u003c/p\u003e\n\u003cp\u003eF.M. and D.Y. contributed to the conceptualization and methodology. F.M. was responsible for software, formal analysis, investigation, data curation, writing\u0026mdash;original draft preparation, and visualization. D.Y. provided resources, supervision, project administration, and funding acquisition, and contributed to writing\u0026mdash;review and editing. All authors have read and agreed to the published version of the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eData availability statement\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe EEG data, survey score, and analysis codes will be available at ZENODO (https://doi.org/10.5281/zenodo.17519975).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAdditional information\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting financial interests\u003c/strong\u003e: The authors declare no competing financial interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003ePfeiffer, M., D\u0026uuml;nte, T., Schneegass, S., Alt, F. \u0026amp; Rohs, M. Cruise control for pedestrians: Controlling walking direction using electrical muscle stimulation. Proc. 33rd Annu. ACM Conf. Hum. Factors Comput. Syst. 2505\u0026ndash;2514 (2015).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFaltaous, S. et al. EMStriker: Potentials of enhancing the training process of racket-based sports via electrical muscle stimulation. Proc. 16th Int. Conf. Tangible, Embedded, Embodied Interact. 1\u0026ndash;6 (2022).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eParry, S. M. et al. Electrical muscle stimulation in the intensive care setting: A systematic review. \u003cem\u003eCrit. Care Med.\u003c/em\u003e \u003cb\u003e41\u003c/b\u003e, 2406\u0026ndash;2418 (2013).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eŠarabon, N., Kozinc, Ž., L\u0026ouml;fler, S. \u0026amp; Hofer, C. Resistance exercise, electrical muscle stimulation, and whole-body vibration in older adults: Systematic review and meta-analysis of randomized controlled trials. \u003cem\u003eJ. Clin. Med.\u003c/em\u003e \u003cb\u003e9\u003c/b\u003e, 2902 (2020).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMatsumiya, K. Awareness of voluntary action, rather than body ownership, improves motor control. \u003cem\u003eSci. Rep.\u003c/em\u003e \u003cb\u003e11\u003c/b\u003e, 418 (2021).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eK\u0026uuml;hn, S. et al. Whodunnit? Electrophysiological correlates of agency judgements. \u003cem\u003ePLoS ONE\u003c/em\u003e. \u003cb\u003e6\u003c/b\u003e, e28657 (2011).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBednark, J. G. \u0026amp; Franz, E. A. Agency attribution: Event-related potentials and outcome monitoring. \u003cem\u003eExp. Brain Res.\u003c/em\u003e \u003cb\u003e232\u003c/b\u003e, 1117\u0026ndash;1126 (2014).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSidarus, N., Vuorre, M. \u0026amp; Haggard, P. How action selection influences the sense of agency: An ERP study. \u003cem\u003eNeuroimage\u003c/em\u003e \u003cb\u003e150\u003c/b\u003e, 1\u0026ndash;13 (2017).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eWen, W., Yamashita, A. \u0026amp; Asama, H. Measurement of the perception of control during continuous movement using electroencephalography. \u003cem\u003eFront. Hum. Neurosci.\u003c/em\u003e \u003cb\u003e11\u003c/b\u003e, 392 (2017).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHan, N., Jack, B. N., Hughes, G., Elijah, R. B. \u0026amp; Whitford, T. J. Sensory attenuation in the absence of movement: Differentiating motor action from sense of agency. \u003cem\u003eCortex\u003c/em\u003e \u003cb\u003e141\u003c/b\u003e, 436\u0026ndash;448 (2021).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKang, S. Y. et al. Brain networks responsible for sense of agency: An EEG study. \u003cem\u003ePLoS ONE\u003c/em\u003e. \u003cb\u003e10\u003c/b\u003e, e0137769 (2015).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKasahara, S., Nishida, J. \u0026amp; Lopes, P. Preemptive action: Accelerating human reaction using electrical muscle stimulation without compromising agency. Proc. 2019 CHI Conf. Hum. Factors Comput. Syst. 1\u0026ndash;15 (2019).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eNagai, M. et al. The effect of electrical muscle stimulation on intentional binding and explicit sense of agency. PeerJ. 12, e17977 (2024). (2024).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eVeillette, J. P., Lopes, P. \u0026amp; Nusbaum, H. C. Temporal dynamics of brain activity predicting sense of agency over muscle movements. \u003cem\u003eJ. Neurosci.\u003c/em\u003e \u003cb\u003e43\u003c/b\u003e, 7842\u0026ndash;7852 (2023).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePeled, A., Ritsner, M., Hirschmann, S. \u0026amp; Geva, A. B. Modai, I. Touch feel illusion in schizophrenic patients. \u003cem\u003eBiol. Psychiatry\u003c/em\u003e. \u003cb\u003e48\u003c/b\u003e, 1105\u0026ndash;1108 (2000). 16. 削除.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eRao, I. S. \u0026amp; Kayser, C. Neurophysiological correlates of the rubber hand illusion in late evoked and alpha/beta band activity. \u003cem\u003eFront. Hum. Neurosci.\u003c/em\u003e \u003cb\u003e11\u003c/b\u003e, 377 (2017).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBlefari, M. L., Cipriani, C. \u0026amp; Carrozza, M. C. A novel method for assessing sense of body ownership using electroencephalography. \u003cem\u003eIEEE Trans. Biomed. Eng.\u003c/em\u003e \u003cb\u003e58\u003c/b\u003e, 12\u0026ndash;15 (2011).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBu\u0026ndash;Omer, H. M. et al. Parieto-occipital alpha and low-beta EEG power reflect sense of agency. Brain Sci. 11, 743 Movements and body ownership: Evidence from the rubber hand illusion after mechanical limb immobilization. Neuropsychologia. 107, 41\u0026ndash;47 (2017). (2021).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCasula, E. P. et al. Feeling of ownership over an embodied avatar\u0026rsquo;s hand brings about fast changes of fronto-parietal cortical dynamics. \u003cem\u003eJ. Neurosci.\u003c/em\u003e \u003cb\u003e42\u003c/b\u003e, 692\u0026ndash;701 (2022).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eStone, S. P., Halligan, P. W. \u0026amp; Greenwood, R. J. The incidence of neglect phenomena and related disorders in patients with an acute right or left hemisphere stroke. \u003cem\u003eAge Ageing\u003c/em\u003e. \u003cb\u003e22\u003c/b\u003e (1), 46\u0026ndash;52 (1993).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMeador, K. J., Loring, D. W., Feinberg, T. E., Lee, G. P. \u0026amp; Nichols, M. E. Anosognosia and asomatognosia during intracarotid amobarbital inactivation. \u003cem\u003eNeurology\u003c/em\u003e \u003cb\u003e55\u003c/b\u003e (6), 816\u0026ndash;820 (2000).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eM\u0026uuml;ller, G. R. et al. Event-related beta EEG changes during wrist movements induced by functional electrical stimulation of forearm muscles in man. \u003cem\u003eNeurosci. Lett.\u003c/em\u003e \u003cb\u003e340\u003c/b\u003e, 143\u0026ndash;147 (2003).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCorbet, T., Iturrate, I., Pereira, M., Perdikis, S. \u0026amp; Mill\u0026aacute;n, J. D. R. Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance. \u003cem\u003eNeuroimage\u003c/em\u003e \u003cb\u003e176\u003c/b\u003e, 268\u0026ndash;276 (2018).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eTamaki, E., Miyaki, T., Rekimoto, J. \u0026amp; PossessedHand A hand gesture manipulation system. \u003cem\u003eProc. 1st Augment Hum. Int. Conf.\u003c/em\u003e \u003cb\u003e4\u003c/b\u003e, 1\u0026ndash;5 (2010).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eTamaki, E., Miyaki, T., Rekimoto, J. \u0026amp; PossessedHand Techniques for controlling human hands using electrical muscles stimuli. \u003cem\u003eProc. SIGCHI Conf. Hum. Factors Comput. Syst.\u003c/em\u003e 543\u0026ndash;552 (2011).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePfurtscheller, G. Lopes da Silva, F. Event-related EEG/MEG synchronization and desynchronization: Basic principles. \u003cem\u003eClin. Neurophysiol.\u003c/em\u003e \u003cb\u003e110\u003c/b\u003e, 1842\u0026ndash;1857 (1999).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKandel, E. R. et al. \u003cem\u003ePrinciples of Neural Science\u003c/em\u003e 5 edn (McGraw-Hill Medical, 2012).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMurata, A., Wen, W. \u0026amp; Asama, H. The body and objects represented in the ventral stream of the parieto-premotor network. \u003cem\u003eNeurosci. Res.\u003c/em\u003e \u003cb\u003e104\u003c/b\u003e, 4\u0026ndash;15 (2016).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFelten, D. L. \u0026amp; Shetty, A. \u003cem\u003eNetter\u0026rsquo;s Atlas of Neuroscience\u003c/em\u003e 2nd edn (Elsevier Health Sciences, 2009).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eIramina, K. et al. Effects of stimulus intensity on fMRI and MEG in somatosensory cortex using electrical stimulation. \u003cem\u003eIEEE Trans. Magn.\u003c/em\u003e \u003cb\u003e35\u003c/b\u003e, 4106\u0026ndash;4108 (1999).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBrainard, D. H. The Psychophysics Toolbox. \u003cem\u003eSpat. Vis.\u003c/em\u003e \u003cb\u003e10\u003c/b\u003e, 433\u0026ndash;436 (1997).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePelli, D. G. The VideoToolbox software for visual psychophysics: Transforming numbers into movies. \u003cem\u003eSpat. Vis.\u003c/em\u003e \u003cb\u003e10\u003c/b\u003e, 437\u0026ndash;442 (1997).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKleiner, M. et al. What's new in Psychtoolbox-3? A free cross-platform toolkit for Psychophysics. \u003cem\u003ePerception\u003c/em\u003e \u003cb\u003e36\u003c/b\u003e, 1\u0026ndash;16 (2007).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eNahab, F. B. et al. The neural processes underlying self-agency. \u003cem\u003eCereb. cortex\u003c/em\u003e. \u003cb\u003e21\u003c/b\u003e (1), 48\u0026ndash;55 (2011).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGonzalez-Franco, M. \u0026amp; Peck, T. C. Avatar embodiment: Toward a standardized questionnaire. \u003cem\u003eFront. Robot AI\u003c/em\u003e. \u003cb\u003e5\u003c/b\u003e, 74 (2018).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eTadel, F., Baillet, S., Mosher, J. C., Pantazis, D. \u0026amp; Leahy, R. M. Brainstorm: A user-friendly application for MEG/EEG analysis. \u003cem\u003eComput. Intell. Neurosci.\u003c/em\u003e \u003cb\u003e2011\u003c/b\u003e (1), 879716 (2011).\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[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":"Electrical Muscle Stimulation, Sense of Agency, Sense of Ownership, Electroencephalography, Wrist, Muscles","lastPublishedDoi":"10.21203/rs.3.rs-8043349/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8043349/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAlthough electrical muscle stimulation (EMS) is expected to alter the sense of agency (SoA) and sense of ownership (SoO) of a user's body parts, as well as brain activity during passive movements, these phenomena have not yet been systematically examined. We investigated the SoA, SoO, and brain activity in situations where participants moved their wrists voluntarily, or where EMS was applied either during voluntary movement or at rest. The EMS intensity was varied from the motor threshold to the maximum level at which participants did not experience pain or discomfort. SoA and SoO were maintained at levels comparable to those during voluntary movement alone when EMS was applied during voluntary movement at intensities ranging from the motor threshold to a moderate level. Brain activity during passive movements induced by EMS was low, and activity during voluntary movements with EMS at various intensities was comparable to that during voluntary movements without EMS. Our results indicate that applying EMS at intensities from the motor threshold to moderate levels during voluntary movement is appropriate for maintaining SoA and SoO.\u003c/p\u003e","manuscriptTitle":"Moderate Electrical Muscle Stimulation During Voluntary Movement Does Not Disrupt the Sense of Agency or Ownership","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-11 12:39:48","doi":"10.21203/rs.3.rs-8043349/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-12-12T11:59:39+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-12T09:05:37+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-11T18:17:23+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-10T23:37:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"203391102839986031665526258433957972898","date":"2025-12-10T23:34:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"51813883326001977972554196750582377141","date":"2025-12-10T11:05:03+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"121905225189315619316067823417115179878","date":"2025-12-09T11:33:10+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"315386783068933946414037772958644834222","date":"2025-12-09T08:40:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"231084734518095784019720051789939228185","date":"2025-12-09T08:26:25+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-09T03:16:30+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"99994919372180874271915446400827504961","date":"2025-12-09T02:58:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"285203004159183909490142956114037049024","date":"2025-12-08T17:44:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"294778420306728193460695762370148941109","date":"2025-12-08T15:31:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"48572088340610904606659445208381671285","date":"2025-12-08T14:16:55+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"25068570072528208069929919642134562852","date":"2025-12-08T13:04:52+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"274344061328132614553640954543546144039","date":"2025-12-08T10:49:52+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-08T10:37:47+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-11-11T19:06:17+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-07T12:02:45+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-07T12:01:09+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-11-06T03:41:39+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[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}}],"origin":"","ownerIdentity":"2c1004b3-603d-4b6e-adda-b107c42b82fd","owner":[],"postedDate":"December 11th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[{"id":59450973,"name":"Biological sciences/Neuroscience"},{"id":59450974,"name":"Biological sciences/Physiology"}],"tags":[],"updatedAt":"2026-03-16T07:41:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-11 12:39:48","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8043349","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8043349","identity":"rs-8043349","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}