Topographic Association between Tau Pathology and Atrophy Correlated with Key Symptoms in Progressive Supranuclear Palsy

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Abstract

[Background and Objectives] Progressive supranuclear palsy (PSP) is a four-repeat tauopathy characterized by subcortical atrophy and distinctive motor impairments. Although tau pathology is presumed to drive neuronal loss, the spatial relationships between tau deposition, regional atrophy, and domain-specific symptoms remain incompletely understood. This study aimed to compare the distributions of tau pathology and atrophy related to key motor symptom domains in PSP, and to clarify their distinct contributions to clinical manifestations. [Methods] We conducted a prospective, single-center observational study. PSP cases underwent neurological assessments, including the PSP Rating Scale, which covers six domains. Tau positron emission tomography (PET) with florzolotau (18F) and T1-weighted magnetic resonance imaging were acquired from these patients and healthy controls to assess correlations of domain scores with tau accumulation and local brain volumes. Path analysis was performed to explore spatiotemporal relationships between tau deposits and volume loss leading to individual domains. [Results] Fifty-eight PSP patients and 52 healthy controls were included. Subcortical tau accumulation and atrophy showed significant spatial overlap and were closely associated with motor deficits. The “ocular motor” domain scores correlated with tau in the midbrain tegmentum and globus pallidus, and the “gait and midline” domain scores correlated with tau in the globus pallidus, thalamus, and subthalamic nucleus. In contrast, tau deposits and volume reductions in separate neocortical regions were linked to the manifestations. Indeed, the “limb motor” domain scores correlated with tau in the primary motor and somatosensory cortices, and atrophy in the angular, supramarginal, and temporal cortices. Path analysis suggested that tau in subcortical structures may elicit local neuronal loss, impairing the “ocular motor” and “gait and midline” domains, while tau in the neocortex likely affects the “limb motor” domain through local and subsequent network-mediated neurotoxicity. [Discussion] High-contrast tau imaging clarifies the neuropathological basis of key symptoms in living PSP patients and highlights distinct tau-induced neurotoxic effects in subcortical versus neocortical regions. These findings indicate that PSP key symptoms arise from anatomically and mechanistically distinct tau-neurodegeneration pathways, underscoring the significance of PET-detectable regional tau depositions as surrogates for and predictors of clinical manifestations.
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In Vivo Topographic Associations Between Tau Pathology, Atrophy, and Symptom Domains in Progressive Supranuclear Palsy | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var 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, Chie Seki , Kiwamu Matsuoka , Kosei Hirata , Shin Kurose , Masaki Oya , Naomi Kokubo , Hitoshi Shinotoh , Hitoshi Shimada , Kazunori Kawamura , Ming-Rong Zhang , Takahiko Tokuda , Keisuke Takahata , Kenji Tagai , Makoto Higuchi , Hironobu Endo doi: https://doi.org/10.1101/2025.06.23.25329885 Yuko Kataoka 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ryoji Goto 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Yoshikazu Chishiki 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kenta Osawa 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Asaka Oyama 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MSc Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hideki Matsumoto 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan 3 Department of Oral and Maxillofacial Radiology, Tokyo Dental College , Tokyo, Japan DDS, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Masanori Ichihashi 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Sho Moriguchi 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Yuki Momota 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Tetsuji Kamada 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Chie Seki 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kiwamu Matsuoka 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kosei Hirata 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Shin Kurose 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Masaki Oya 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Naomi Kokubo 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hitoshi Shinotoh 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hitoshi Shimada 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan 4 Department of Functional Neurology & Neurosurgery, Center for Integrated Human Brain Science, Brain Research Institute, Niigata University , Niigata, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kazunori Kawamura 2 Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science , QST, Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ming-Rong Zhang 2 Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science , QST, Chiba, Japan PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Takahiko Tokuda 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan 5 Department of Neuroetiology and Diagnostic Science, Osaka Metropolitan University Graduate School of Medicine , Osaka, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Keisuke Takahata 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kenji Tagai 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Makoto Higuchi 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan 5 Department of Neuroetiology and Diagnostic Science, Osaka Metropolitan University Graduate School of Medicine , Osaka, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hironobu Endo 1 Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST) , Chiba, Japan MD, PhD Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: endo.hironobu{at}qst.go.jp Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF Abstract Background and Objectives Progressive supranuclear palsy (PSP) is a four-repeat tauopathy characterized by subcortical atrophy and distinctive motor impairments. Although tau pathology is presumed to drive neuronal loss, the spatial relationships between tau deposition, regional atrophy, and domain-specific symptoms remain incompletely understood. This study aimed to compare the distributions of tau pathology and atrophy related to key motor symptom domains in PSP, and to clarify their distinct contributions to clinical manifestations. Methods We conducted a prospective, single-center observational study. PSP cases underwent neurological assessments, including the PSP Rating Scale, which covers six domains. Tau positron emission tomography (PET) with florzolotau (18F) and T1-weighted magnetic resonance imaging were acquired from these patients and healthy controls to assess correlations of domain scores with tau accumulation and local brain volumes. Path analysis was performed to explore spatiotemporal relationships between tau deposits and volume loss leading to individual domains. Results Fifty-eight PSP patients (mean age 60.8 years; 45.3% female) and 52 healthy controls (71.6 years; 43.1% female) were included. Subcortical tau accumulation and atrophy showed significant spatial overlap and were closely associated with motor deficits. The "ocular motor" domain scores correlated with tau in the midbrain tegmentum and globus pallidus, and the "gait and midline" domain scores correlated with tau in the globus pallidus, thalamus, and subthalamic nucleus. In contrast, tau deposits and volume reductions in separate neocortical regions were linked to the manifestations. Indeed, the "limb motor" domain scores correlated with tau in the primary motor and somatosensory cortices, and atrophy in the angular, supramarginal, and temporal cortices. Path analysis suggested that tau in subcortical structures may elicit local neuronal loss, impairing the "ocular motor" and "gait and midline" domains, while tau in the neocortex likely affects the "limb motor" domain through local and subsequent network-mediated neurotoxicity. Discussion High-contrast tau imaging clarifies the neuropathological basis of key symptoms in living PSP patients and highlights distinct tau-induced neurotoxic effects in subcortical versus neocortical regions. These findings indicate that PSP key symptoms arise from anatomically and mechanistically distinct tau-neurodegeneration pathways, underscoring the significance of PET-detectable regional tau depositions as surrogates for and predictors of clinical manifestations. Introduction Progressive supranuclear palsy (PSP) is an idiopathic neurodegenerative disorder lacking effective treatments. Clinically, it manifests with motor impairments resembling Parkinson’s disease, alongside distinctive features like ocular motor dysfunction and postural instability. Neuropathologically, PSP is characterized by neuronal and glial inclusions composed of four-repeat tau isoforms, including globose tangles, coiled bodies, and tufted astrocytes. These tau aggregates predominantly affect subcortical structures such as the thalamus, subthalamic nucleus, and brainstem, although neocortical regions, particularly in the frontal lobe, are also frequently involved. 1 – 4 Accordingly, PSP is classified within frontotemporal lobar degeneration with tau pathology (FTLD-Tau). 5 A hallmark of PSP in morphometric neuroimaging is midbrain atrophy, commonly recognized as the hummingbird sign 6 , correlating with neurological deficits assessed by the PSP Rating Scale. 7 Tau deposits are thought to contribute to neuronal loss, particularly in the brainstem. However, the extent to which tau accumulation leads to regional volume loss through direct or network-mediated effects remains unclear. Investigating these processes in vivo could provide crucial insights into the pathological basis of symptomatic manifestations. While animal models expressing four-repeat tau isoforms exhibit neuronal loss, 8 their ability to replicate PSP-specific neurotoxic mechanisms remains uncertain. Moreover, while PSP-derived tau fibril inoculation in rodents induces neuronal and glial tau pathologies, 9 prominent neuronal loss leading to measurable atrophy has not been observed. Given these discrepancies, it is crucial to establish links among tau aggregation, neuronal loss, and functional decline using human data. Although postmortem studies have delineated tau inclusions in PSP brains, 4 , 10 they do not correlate with antemortem symptoms, underscoring the value of in vivo assessments to explore spatial relationships between tau pathology, brain atrophy, and symptom severity. Recently, we developed a tau positron emission tomography (PET) radioligand, florzolotau (18F), which exhibits high contrast for various tau pathologies, including those in PSP. 11 Florzolotau (18F) enabled in vivo visualization of tau deposits in the thalamus, subthalamic nucleus, basal ganglia, midbrain, and motor cortices in PSP patients, 11 , 12 findings align with neuropathological observations. Two independent studies have demonstrated a strong correlation between florzolotau (18F) retention in the subthalamic nucleus and/or midbrain and total PSP Rating Scale scores. 11 , 13 Extending these findings, a recent study applied a subtype/stage inference algorithm to florzolotau (18F) PET data and identified distinct progression patterns of tau deposition in PSP, underscoring the potential of machine learning to capture disease heterogeneity and temporal dynamics. 14 Despite these results, large-scale PET investigations are warranted to elucidate the evolution of tau pathology and its impact on key clinical domains, such as impaired eye movements and gait abnormalities. Previous studies using flortaucipir (18F) examined tau pathology and brain atrophy in PSP patients across various symptomatic subtypes, 15 but did not correlate imaging with motor deficits. Furthermore, an imaging-pathology correlation analysis suggested flortaucipir (18F) has limited sensitivity for four-repeat tau aggregates in FTLD, 16 questioning its utility for staging PSP. 17 Several studies have evaluated the visual assessment of 4 repeat tauopathies using this tracer 18 , 19 and others have demonstrated that [¹ F]PI-2620 retention in the globus pallidus correlates with disease severity in PSP. 20 Compared with [¹ F]PI-2620, flortaucipir (18F) enables visualization of tau deposition across a broader range of brain areas, 21 including the midbrain, pons, subthalamic nucleus, thalamus, and precentral cortex, consistent with the distribution of tau inclusions confirmed by postmortem assays. Notably, our recent neuropathological investigation of a PSP case who had undergone PET scans has further supported the utility of this radiotracer for quantitative assessment of 4-repeat tau inclusions across diverse anatomical structures. 22 Leveraging the ability of florzolotau (18F) to capture tau aggregates in region-specific patterns, the present study aimed to identify the spatial distributions of tau pathology and volumetric loss that underlie key symptomatic domains in a PSP cohort. By examining the concordance and discordance between florzolotau (18F) PET and volumetric MRI, we seek to determine whether four-repeat tau accumulation induces neurotoxicity locally or via network-mediated pathways. Additionally, path analysis of cross-sectional data was implemented to estimate the chronological progression of tau-induced neuronal damage associated with symptom categories. Methods Participants A clinical study was conducted at the National Institutes for Quantum Science and Technology, Japan, between January 2018 and May 2023. It involved 52 consecutive healthy controls (HCs) and 58 consecutive patients with progressive supranuclear palsy (PSP). The diagnosis of PSP was based on the International Parkinson and Movement Disorder Society clinical criteria, 23 and only patients who fulfilled the criteria for probable PSP or a more definitive category were included. HCs were defined as individuals aged 35 years or older with no history of neurological impairment, a Mini-Mental State Examination score of ≥28, and a Geriatric Depression Scale score of ≤5 or no history of depression. PSP severity was assessed using the PSP Rating Scale, 24 which includes the following domains: history, mentation, bulbar function, ocular motor function, gait and midline stability, and limb motor function. The PSP Rating Scale was administered and scored by board-certified, experienced neurologists. Frontal lobe function was further assessed using the Frontal Assessment Battery (FAB). 25 All participants were recruited from a dedicated volunteer registry. Aβ-positive cases were excluded based on visual assessment of [ 11 C]Pittsburgh Compound-B ([ 11 C]PiB) PET scans, independently reviewed by at least three experienced PET specialists. 26 Details regarding case exclusions are provided in the supplementary figure (Figure S1) and the trial patient flow diagram. MRI Studies The participants underwent 3-T MAGNETOM Verio (Siemens Healthcare) and 3-T MAGNETOM Prisma (Siemens Healthcare) scanning. T1-weighted gradient-echo sequence imaging (sagittal orientation; 1-mm-thick sections; echo time [TE], 1.95 ms; repetition time [TR], 2,300 ms; flip angle, 9.0°; inversion time [TI], 900 ms; field of view [FOV], 250 mm; matrix dimension, 512 × 512 × 176) was executed for coregistration of PET images into an individual anatomical space and their segmentation for region-based quantification. PET Studies Amyloid pathology was assessed using [ 11 C]PiB PET, with a Biograph mCT Flow system (Siemens Healthcare; matrix dimension, 200 × 200 × 109; voxel size [mm], 2 × 2 × 2) or a Discovery MI scanner (GE Healthcare; matrix size: 128 × 128 × 89; voxel size: 2 × 2 × 2.8 mm³ for [ 11 C]PiB scans). [ 11 C]PiB images were obtained over a 50–70-minute period (typically 4 × 5-minute frames) following an intravenous bolus injection (514.8 ± 82.6 MBq). Tau accumulation was assessed using PET with the radioligand florzolotau (18F) on a Biograph mCT Flow system (Siemens Healthcare; matrix dimension, 200 × 200 × 109; voxel size [mm], 2 × 2 × 2). List-mode event data were reconstructed into PET images using a filtered back-projection algorithm with a Hanning filter (6.0 mm full width at half maximum). Each participant underwent a 20-minute PET scan (frames: 4 × 5 or 2 × 10 min) 90 min after the intravenous injection of florzolotau (18F) (193.4 ± 48.6 MBq). [ 11 C]PiB and florzolotau (18F) PET scans were completed within a 3-month interval. The PET scan protocol in detail was provided elsewhere. 11 , 27 , 28 Data Analysis Voxel-based analysis was conducted using tau PET images transformed into the standard brain space via DARTEL (Details are provided in the eMethods section of the supplementary material.). Tau accumulation and brain atrophy in PSP versus HC subjects were analyzed by identifying regions of voxels with a family-wise error correction at peak-level (FWEp) of P < 0.05 and the voxel number exceeding assigned values. The association of tau accumulation and brain volume with neurological symptoms was evaluated to pick up voxel clusters with predefined height and extent thresholds. The association of tau depositions and brain volume with neurological symptoms was assessed using a threshold of FWE correction at cluster-level (FWEc) P < 0.05. Based on voxel-wise analyses, areas of tau accumulation and volume loss that correlated with each neurological symptom were binarized as ROIs. Using these ROIs, florzolotau (18F) SUVRs and brain volumes were calculated for each PSP case. Path analysis was used to estimate the relationships among tau accumulations (florzolotau (18F) SUVRs), structural atrophy, and scores of PSP Rating Scale subdomains, assuming a specified causal direction. Details of these analyses are provided in the supplementary flow map (Figure S2). The assessments were performed using RStudio (version 2024.12.1+563, RStudio, PBC) and the R package lavaan 29 (version 0.6–16). Path models were estimated using the robust maximum likelihood estimator (MLR); PSP Rating Scale subdomain scores were treated as ordinal variables due to their inherently ranked distributions. MLR was applied to provide estimates robust to non-normality. We defined tau deposition as an independent variable, atrophy as a mediator, and symptomatic domain as a dependent variable, and investigated direct and indirect effects. The model fit was evaluated using the normed fit index, comparative fit index, and root mean square error approximation in all patients with PSP. Akaike’s information criterion was used to determine a better model. In addition, participants were divided into three groups according to the disease duration, consisting of early (1 year), intermediate (2 years), and advanced (≥3 years) chronological stages. Path analysis was then applied to individual stages to assess time-course changes in the contribution of the independent variable and mediator to the outcome measure. Statistical Analysis Independent sample t- and χ 2 tests were conducted to compare baseline demographics and clinical characteristics. All these statistical tests were two-tailed, with P < 0.05 indicating statistical significance. Values were all reported as means with standard deviations. Statistical analyses for demographics were performed using EZR version 1.68 (Saitama Medical Center, Jichi Medical University, Saitama, Japan), a graphical user interface for R version 4.3.1 (The R Foundation for Statistical Computing, Vienna, Austria), 30 and Prism 9 for Windows 64-bit, version 9.5.1 (733) (GraphPad Software, Boston, USA). Data Sharing Requests for data supporting our findings should be directed to the corresponding author, Hironobu Endo ( endo.hironobu{at}qst.go.jp ). Standard Protocol Approvals, Registrations, and Patient Consents The study protocol was approved by the Ethics Committee of the National Institutes for Quantum Science and Technology. Written informed consent was obtained from all participants. The study was registered in the UMIN Clinical Trials Registry (registration numbers 000026385, 000029608, and 000030248). Data Availability The data supporting our study findings are available from the corresponding author upon reasonable request. Results Patient Backgrounds The demographic profiles of the PSP patients and HCs are provided in Table 1 . View this table: View inline View popup Table 1: Demographic characteristics. View this table: View inline View popup Download powerpoint Table 2: Demographic characteristics in three disease duration subgroups. Exhaustive Voxel-based Assessments Comparisons between the PSP and HC groups The retention of florzolotau (18F) was enhanced in the subcortical structures, such as the midbrain, basal ganglia, and frontal regions in PSP cases relative to HCs (red and yellow in Figure 1 ), in line with the distribution of tau pathologies in this illness. These patients also presented reduced volumes of characteristic brain areas, including the midbrain, basal ganglia, thalamus, and cerebellar hemispheres, compared with HCs (green and yellow in Figure 1 ). There were notable spatial overlaps between tau depositions and atrophy in the midbrain and basal ganglia (yellow in Figure 1 ). Download figure Open in new tab Figure 1: Topologies of tau accumulation and atrophy in the brains of PSP patients relative to controls Voxel-based analysis showed an elevated tau PET tracer retention (red) primarily in the basal ganglia and frontal lobes, atrophy (green) in the basal ganglia, thalamus, and cerebellar hemispheres, and their spatial overlaps (yellow) in the midbrain and basal ganglia of the PSP group relative to HCs (P < 0.05, FWEp). Cluster size thresholds (k) are 115 voxels for tau accumulation and 91 voxels for atrophy. Areas are highlighted in the standard anatomical space of the brain. PSP, progressive supranuclear palsy; HC, healthy control; FWEp, family-wise error correction at peak-level. Topology of tau accumulation and volume loss associated with neurological symptoms (A) Total PSP Rating Scale scores Intensified florzolotau (18F) signals and concomitant volume declines in subcortical locations, including the midbrain, subthalamic nucleus, and globus pallidus, were correlated with higher total PSP Rating Scale scores (upper left panels in Figure 2 ). In contrast, tau accumulation in neocortical regions such as the primary and supplementary motor cortices also correlated with symptom severity, despite the absence of marked local atrophy. Download figure Open in new tab Figure 2: Distributions of tau accumulation (red), atrophy (green), and their overlaps (yellow) correlating with neurological symptoms. (A) Total PSP Rating Scale scores correlated with both tau accumulation and atrophy in the subthalamic nucleus and globus pallidus. Association with tau accumulation was also found in neocortical regions, including the primary and supplementary motor cortices. Cluster size thresholds (k) are 4229 voxels for tau accumulation and 7338 voxels for atrophy. (B) "Ocular motor" subscores correlated with tau accumulation and atrophy commonly in the midbrain tegmentum and globus pallidus. Cluster size thresholds (k) are 3658 voxels for tau accumulation and 7031 voxels for atrophy. (C) "Gait and midline" subscores correlated with tau accumulation in the globus pallidus to thalamic area and occipital cortex and atrophy in the globus pallidus to the thalamic area, occipital cortex, and precuneus. Cluster size thresholds (k) are 2480 voxels for tau accumulation and 2326 voxels for atrophy. (D) "Limb motor" subscores correlated with tau accumulation in the primary motor and somatosensory cortices and atrophy in the angular and supramarginal gyri and temporal gray and white matter. Cluster size thresholds (k) are 43882 voxels for tau accumulation and 2489 voxels for atrophy. Areas are highlighted in the standard anatomical space of the brain. All statistical thresholds were set at P < 0.05, FWEc. PSP, progressive supranuclear palsy; FWEc, family-wise error correction at the cluster-level. (B) Ocular motor symptom domain Tau accumulations and reduced volumes in subcortical structures, including the midbrain tegmentum and globus pallidus, were correlated with elevated PSP Rating Scale subscores in the ocular motor domain (upper right panels in Figure 2 ). The voxels highlighted in PET and MRI assays presented remarkable spatial overlaps. (C) Gait and midline symptom domain Tau depositions and volume reductions in subcortical structures, including the subthalamic nucleus and surrounding thalamic regions, alongside the globus pallidus, showed correlations with increases of PSP Rating Scale subscores in the gait and midline domain (lower left panels in Figure 2 ). The voxels highlighted in tau PET and MRI assays displayed notable overlaps in these locations. In addition, we observed associations of tau accumulations in the occipital cortex and volume loss in the occipital cortex and precuneus with this symptomatic domain. The neocortical voxels highlighted by tau PET and MRI showed little spatial overlap. (D) Limb motor symptom domain Unlike the symptom domains (A)-(C), only limited spatial overlap was observed between regions in which tau deposition and volume loss were associated with limb motor impairment (lower right panels in Figure 2 ). Tau accumulation, as related to the PSP Rating Scale limb motor subscores, mainly involved the primary motor and somatosensory cortices. In contrast, symptom-related atrophy was predominantly localized to the angular and supramarginal gyri and temporal lobes, including both gray and white matter. Although minor overlap near boundaries was present, the principal foci of tau lesions and atrophy were spatially dissociated. Three-dimensional renderings of all tau-loaded and atrophic regions associated with domains (A)-(D) are shown in Figs. S3 and S4. (E) Other categories We found no brain areas exhibiting correlations of tau accumulations and atrophy with PSP Rating Scale subscores in history, mentation, and bulbar categories. Path Analysis Exploration of Causal Directions Areas of tau accumulation and volume loss correlated with each neurological symptom were binarized as ROIs. Using these ROIs, florzolotau (18F) SUVRs and brain volumes were calculated for each PSP case. Path analysis was performed using ROI values and PSP Rating Scale subscores in each clinical domain to examine the dependencies of key symptoms on tau depositions and volume declines, as well as the dependencies of volume declines on tau depositions in characteristic brain regions under possible causal assumptions (Figure S5). Path analysis across all cases (Fig. S5) indicated that atrophy exerted a predominant direct effect on clinical symptoms, likely reflecting the stronger structure-symptom associations observed in advanced disease stages. Therefore, we analyzed the patients divided into early, intermediate, and advanced groups based on the disease duration to assess transitions of the associations along the time course ( Figs. 3 and S6). In the path analysis of the ocular motor domain, a causality direction from tau pathologies to atrophy was the most pronounced at early and intermediate phases, in contrast to the predominance of the direction from atrophy to symptoms at the advanced stage. In the analysis of the gait and midline domain, the dependency of volume declines on tau accumulations was prominent at the early stage, similar to the ocular motor domain, whereas the causal connection between atrophy to symptoms already became predominant at the intermediate stage. In the analysis of the limb motor domain, the direct dependency direction from tau depositions to symptoms dominated at the early stage, which was replaced by the pathway from tau depositions to remote atrophy and then the pathway from atrophy to symptoms along the disease time course. Download figure Open in new tab Figure 3: Path analysis revealed temporal transitions in the causal relationships among tau deposition, brain atrophy, and clinical symptoms across disease progression Causality directions were examined in the groups classified by the disease duration (early, 1 year; intermediate, 2 years; advanced, ≥3 years). In the "ocular motor" domain, tau pathology primarily drove atrophy in the early and intermediate stages, while atrophy more strongly predicted symptoms at the advanced stage. In the "gait and midline" domain, tau-driven atrophy was evident early, but atrophy-to-symptom causality became dominant by the intermediate stage. In the "limb motor" domain, early symptoms were directly linked to tau deposition, with later stages showing a sequential pathway from tau to atrophy and then to symptoms. Discussion In this study, we generated high-contrast maps delineating tau pathology and regional volume loss in the brains of PSP cases, representing the largest cohort analyzed to date. Our analyses revealed, for the first time, the spatial distribution of tau deposits and brain atrophy in relation to core symptomatic domains captured by the PSP Rating Scale. Integrating these findings with path analyses of clinical and neuroimaging data, we demonstrate that subcortical tau accumulation leads to neuronal loss and localized tissue atrophy, directly contributing to symptom expression. In contrast, neocortical tau deposits appear to induce network dysfunction as well, resulting in secondary neuronal degeneration in anatomically distant regions. These distinct mechanisms of tau-induced neurotoxicity underpin the differential patterns of subcortical and neocortical pathology in PSP. Comparisons between the PSP and control groups revealed a spatial concordance of tau pathology and volume reduction in the midbrain, basal ganglia, subthalamic nucleus, and adjacent thalamic regions of PSP brains ( Fig. 1 ). In contrast, despite the presence of tau aggregates in the primary and supplementary motor cortices, significant neocortical atrophy (p < 0.05, FWEp) was not observed ( Fig. 1 ). These findings suggest that morphometric alterations in PSP are predominantly subcortical, while neocortical neuronal loss may be more heterogeneous across individuals. Indeed, reduced volumes in posterior cortical areas were evident in patients exhibiting severe "gait and midline" and "limb motor" symptoms ( Fig. 2C, D ). Although prior neuropathological studies have reported interneuron loss in the primary motor cortex alongside extensive glial and neuronal tau inclusions, 31 the relative preservation of large pyramidal neurons may mitigate detectable atrophy in this region. This notion aligns with a previous report documenting sparing of the motor cortex volume in PSP-Richardson (RS) type. 15 Conversely, degeneration of cortico-cortical projection neurons was identified in the pre-supplementary motor area, 31 and tau-induced axonal pathology may also disrupt intercortical pathways originating from the primary motor cortex. These degenerative processes could impair the delivery of trophic support from axonal terminals to downstream regions, such as the angular gyrus, ultimately leading to transneuronal degeneration and atrophy in areas remote from dense tau accumulations. We observed substantial spatial overlap between regions of tau accumulation and brain atrophy, which were closely associated with total PSP Rating Scale scores and subscores in the "ocular motor" and "gait and midline" domains. These voxel-wise correlational analyses primarily identified subcortical structures. Notably, impairments in the "ocular motor" domain showed strong correlations with both tau pathology and volume loss in the midbrain. Upgaze palsy is a well-established ocular motor sign of PSP, and prior lesion studies have implicated the rostral interstitial nucleus of the medial longitudinal fasciculus (riMLF) in the midbrain as a critical site underlying this dysfunction. 32 The present tau and atrophy maps revealed the involvement of medial midbrain regions encompassing the medial longitudinal fasciculus (highlighted in yellow in Fig. 2B and the upper left panel of Fig. 3 ), supporting the presence of local neurodegeneration driven by tau pathology in key structures responsible for generating fast vertical eye movements. Importantly, the superior colliculus (SC) plays a modulatory role in the activity of riMLF, which is critical for controlling eye movements. 33 Disruptions in the sequential pathways linking the globus pallidus to the SC—via the subthalamic nucleus and substantia nigra pars reticulata (SNr)—have been implicated in the pathophysiology of ocular motor dysfunction. 34 , 35 Consistently, our analysis identified the globus pallidus, subthalamic nucleus, and SNr as regions showing significant associations between tau deposition, structural atrophy, and impairment in the "ocular motor" domain (highlighted in yellow in Fig. 2B ). Furthermore, path analysis (upper panel in Fig. 3 ) suggests a sequential relationship among tau accumulation, atrophy, and symptom progression, unfolding over several years. This timeline aligns with clinical observations that gaze abnormalities typically become prominent during the middle to late stages of PSP, particularly in non-classical phenotypes. 36 As mentioned above, regions exhibiting tau deposition and volume loss associated with the "gait and midline" domain substantially overlapped with subcortical areas implicated in "ocular motor" deficits, whereas the brainstem appeared to be less involved. The subcortical locomotive network includes the striatum, globus pallidus, subthalamic nucleus, mesencephalic locomotor region, and pontine and medullary reticular formations. 37 , 38 Among these, the subthalamic nucleus and basal ganglia (highlighted yellow in Fig. 2B and the middle-left panel of Fig. 3 ) were prominently identified in our correlational analysis. These structures are implicated from the early stages of PSP, including phenotypes with spatially restricted tau accumulation such as PSP-parkinsonism and PSP-pure akinesia with gait freezing, 39 and are accordingly more consistently involved in locomotive impairment than the brainstem. Gait disturbances, particularly balance difficulties and falls, frequently represent the earliest clinical manifestations of PSP, reinforcing the association between these subcortical structures and the "gait and midline" subscores. Correspondingly, path analysis (middle panels of Fig. 3 ) suggested a causal pathway from early-stage tau accumulation to impairments in this functional domain within one year of symptom onset. In addition, tau deposition and atrophy in distinct neocortical regions were also correlated with "gait and midline" symptoms, indicating that tau-associated neuronal loss in remote areas may contribute to these deficits. Tau accumulation in the lateral occipital cortex, including the secondary visual cortex (V 2 ), may disrupt visual processing relevant to locomotion, 40 while atrophy in the precuneus may compromise sensory integration required for spatiotemporal control of motor behavior. 40 , 41 Given the known functional connectivity between V 2 and the dorsal precuneus, 42 tau deposition in V 2 may adversely affect neuronal viability in the precuneus via axonal projections. Alternatively, tau pathology in the thalamus may impact the precuneus through its strong structural and functional connectivity. 43 Unlike the "ocular motor" and "gait and midline" domains, subscores of the "limb motor" domain primarily correlated with pathological changes in the neocortex. Tau deposition and atrophy in distinct cortical regions were associated with this domain ( Fig. 2D ). We also found that volume loss in the angular and supramarginal gyri, along with the temporal lobes was closely associated with limb motor deficits, consistent with the well-established contribution of this parietal region in limb apraxia. 44 , 2 Prior studies have shown activation of the fronto–temporo–parietal network via the superior longitudinal fasciculus during pantomime and imitation tasks, supporting its role in apraxia and its association with temporal and parietal atrophy. 45 The present results further indicate that tau accumulation in the primary motor and primary somatosensory cortices may exert secondary effects on neuronal integrity in downstream projection sites. In support of this interpretation, the superior longitudinal fasciculus, which connects the primary motor cortex and angular gyrus, 46 may serve as a conduit for transneuronal degeneration, eventually contributing to volume loss in this region. Moreover, the motor cortex and parietal lobe, including the angular gyrus, are conceived to form a sensory-motor integration loop, and dysfunction within this loop may contribute to dystonia, a key feature of the "limb motor" domain. 47 Although the domain also includes Parkinsonian features such as limb rigidity and tremor, subcortical regions typically associated with the extrapyramidal system were not prominently implicated in the present analysis. This may reflect the item composition of the domain, which emphasizes functions, such as dystonia and fine motor tasks (e.g., finger and toe tapping), that are more reliant on cortical motor circuits. 47 48 Tau deposition in the supplementary and primary motor cortices was associated with the mentation domain of the PSP Rating Scale, whereas involvement of the supplementary and pre-supplementary motor cortices and the inferior frontal cortex (IFC) correlated with FAB scores (Fig. S7), indicating that tau accumulation in these regions contributes to frontal lobe functions. 49 Notably, FAB scores were not correlated with atrophy. In contrast, our recent work restricted analysis to patients with Richardson’s syndrome and identified a ‘latent’ network containing the dorsomedial frontal cortex (dmFC), premotor cortex (PMC), and IFC associated with FAB scores in the absence of local tau accumulations. 50 In the current study, however, FAB scores were associated with tau deposition in cortical areas corresponding to the dmFC, PMC, and IFC. The discrepancy between studies may reflect differing cohort compositions; our cohort included both Richardson’s syndrome (n = 43) and non-RS patients (n = 15). Collectively, these findings suggest that the association between tau pathology and executive dysfunction, particularly within the frontal lobe, varies depending on the PSP subtypes included in the analysis. Our path analysis (lower panel of Fig. 3 ) suggested a directional relationship from early-stage tau deposition to limb motor impairments by less than one year of onset, indicating that tau-induced dysfunction within cortical motor areas may precede significant neuronal loss. As the disease progresses, atrophy in distant projection sites likely emerges, contributing to the focal and network-level motor deficits observed in advanced PSP. Despite the current findings highlighting localized tau pathologies and neuronal loss associated with specific symptom domains in PSP, the large-scale impact of tau deposition on neural network degeneration, particularly remote atrophy and functional impairments, remains to be elucidated. Future investigations employing tract-specific analyses, such as diffusion tensor imaging, will be essential to address this gap. In this study, we did not account for PSP subtypes when examining pathology-symptom relationships, as the domain-based structure of the PSP Rating Scale is independent of clinical phenotype classifications. Consequently, the distinct tau topographies associated with PSP-RS versus other variants, such as PSP-parkinsonism, and their links to symptomatic heterogeneity, are yet to be clarified. Furthermore, while our path analysis suggested temporal sequences linking tau accumulation and regional atrophy to specific symptom domains, these observations require validation in longitudinal neuroimaging studies. In conclusion, by leveraging high-contrast PET imaging of four-repeat tau assemblies, the present study delineates the spatiotemporal profiles of neurodegenerative tau pathologies underlying the emergence and progression of specific symptom domains in PSP. This approach holds promise for predicting clinical outcomes across the natural course of the disease and in the context of anti-tau therapeutic interventions. Data Availability All data produced in the present study are available upon reasonable request to the authors Potential Conflicts of Interest H. Shimada, M.-R.Z., and M.H. hold patents on compounds related to this report (JP 5422782/EP 12 884 742.3/CA2894994/HK1208672/ZL201710407246.4). Data Access The Principal Author had full access to all the data used in this study and takes full responsibility for the integrity of the data, the accuracy of the analyses, and the decision to publish the results. Author Contributions Y.K., M.H., and H.E. contributed to drafting and revision of the manuscript for content, including medical writing; Y.K., R.G., Y.C., K.O., H.M., M.I., S.M., Y.M., T.K., K.M., K.H., S.K., M.O., K. Takahata, and N.K. contributed to the acquisition of data; Y.K., M.H., H.E., H. Shinotoh, H. Shimada, and K. Tagai contributed to the study concept and design; Y.K., A.O., C.S., K.K., M.-R.Z., T.T., M.H., and H.E. contributed to the analysis and interpretation of data. Acknowledgment This study was supported by AMED under grants JP19dm0207072, JP24wm0625001, JP24zf0127012; MEXT KAKENHI grant JP21K15705; JST CREST grants JPMJMS2024; Biogen Inc.; and APRINOIA Therapeutics. We thank all patients and their caregivers, as well as volunteers, for their participation in this study; clinical research coordinators; PET and MRI operators; radiochemists; and research ethics advisers at Quantum Science and Technology (QST) for their assistance with the current projects. We acknowledge the support of M. Kubota, Y. Yamamoto, and S. Kitamura at QST. We thank APRINOIA Therapeutics for kindly sharing the precursor of florzolotau (18F). We acknowledge the support of S. Hirano at the Department of Neurology, Chiba University on patient recruitment; T. Hatano, T. Tsunemi, N. Nishikawa, K. Nishioka (currently working at The Juntendo Tokyo Koto Geriatric Medical Center ), Y. Yamashita, Y. Motoi, and S. Saiki (currently working at the University of Tsukuba) at the Department of Neurology, Juntendo University School of Medicine; I. Aiba at the Department of Neurology, National Hospital Organization Higashinagoya National Hospital; Y. Nakano (currently working at The Feinstein Institute for Medical Research) at the Department of Neurology, Chibaken Saiseikai Narashino Hospital; T. Yuasa at the Department of Neurology, Kamagaya General Hospital; H. Imai at the Tokyo Rinkai Hospital; Y. Nishida and Y. Yagi at the Department of Neurology, Tokyo Medical and Dental University; S. Furukawa at the Narita Red Cross Hospital; M. Seki at the Department of Neurology, Keio University School of Medicine; and T. Takeda and I. Isose at the Department of Neurology, Chiba-East Hospital. Footnotes Funding: Disclosures and author roles are found in the online version of this article. 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