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. 2025 Nov;40(11):2517-2530.
doi: 10.1002/mds.70026. Epub 2025 Aug 30.

Brain Atrophy Does Not Predict Clinical Progression in Progressive Supranuclear Palsy

Collaborators, Affiliations

Brain Atrophy Does Not Predict Clinical Progression in Progressive Supranuclear Palsy

Andrea Quattrone et al. Mov Disord. 2025 Nov.

Abstract

Background: Clinical progression rate is the typical primary endpoint measure in progressive supranuclear palsy (PSP) clinical trials.

Objectives: This longitudinal multicohort study investigated whether baseline clinical severity and regional brain atrophy could predict clinical progression in PSP-Richardson's syndrome (PSP-RS).

Methods: PSP-RS patients (n = 309) from the placebo arms of clinical trials (NCT03068468, NCT01110720, NCT02985879, NCT01049399) and DescribePSP cohort were included. We investigated associations of baseline clinical and volumetric magnetic resonance imaging (MRI) data with 1-year longitudinal PSP rating scale (PSPRS) change. Machine learning (ML) models were tested to predict individual clinical trajectories.

Results: PSP-RS patients showed a mean PSPRS score increase of 10.3 points/yr. The frontal lobe volume showed the strongest association with subsequent clinical progression (β: -0.34, P < 0.001). However, ML models did not accurately predict individual progression rates (R2 <0.15).

Conclusions: Baseline clinical severity and brain atrophy could not predict individual clinical progression, suggesting no need for MRI-based stratification of patients in future PSP trials. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keywords: atlas‐based volumetry; clinical trials; outcome; progression; progressive supranuclear palsy.

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Conflict of interest statement

Funding Sources and Conflicts of Interest: Andrea Quattrone received funding from the Italian Ministry of Health, not related to the current research. Hans‐Jürgen Huppertz has used atlas‐based volumetric MRI analysis in industry‐sponsored research projects. Johannes Levin reports speaker fees from Bayer Vital, Biogen, EISAI, TEVA, Zambon, Esteve, Merck and Roche; consulting fees from Axon Neuroscience, EISAI, and Biogen; author fees from Thieme medical publishers and W. Kohlhammer GmbH medical publishers and is inventor of a patent “Oral Phenylbutyrate for Treatment of Human 4‐Repeat Tauopathies” (PCT/EP2024/053388) filed by LMU Munich. In addition, he reports compensation for serving as chief medical officer for MODAG GmbH, is beneficiary of the phantom share program of MODAG GmbH, and is inventor of a patent “Pharmaceutical Composition and Methods of Use” (EP 22159408.8) filed by MODAG GmbH, all activities outside the submitted work. Günter Höglinger participated in industry‐sponsored research projects from AbbVie, Biogen, Biohaven, Novartis, Roche, Sanofi, UCB; has ongoing research collaborations with Roche, UCB, AbbVie; serves as a consultant for AbbVie, Alzprotect, Amylyx, Aprineua, Asceneuron, Bayer, Bial, Biogen, Biohaven, Epidarex, Ferrer, Kyowa Kirin, Lundbeck, Novartis, Retrotope, Roche, Sanofi, Servier, Takeda, Teva, UCB; received honoraria for scientific presentations from AbbVie, Bayer, Bial, Biogen, Bristol Myers Squibb, Kyowa Kirin, Pfizer, Roche, Teva, UCB, Zambon. Günter Höglinger was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy—ID 390857198), European Joint Programme on Rare Diseases (Improve‐PSP), Niedersächsisches Ministerium für Wissenschaft und Kunst (MWK)/VolkswagenStiftung (Niedersächsisches Vorab), Petermax‐Müller Foundation (Etiology and Therapy of Synucleinopathies and Tauopathies), the German Parkinson Society (DPG): ProAPS. The other authors declared no conflicts of interest.

Figures

FIG. 1
FIG. 1
The figure shows baseline regional volumes of cortical and subcortical structures associated with future 1‐year clinical progression rate as measured by the annualized absolute change in the PSP rating scale total score. All associations are shown on the left (A), whereas only significant associations with false discovery rate (FDR)‐adjusted P‐value <0.05 are shown on the right (B). The color scale represents the association strength as measured by the linear regression‐derived β value, with shades of red for negative associations (lower volume associated with faster progression) and shades of blue for positive associations (larger volume associated with faster progression). All models also included age and sex as follows: (annualized absolute change in the PSP rating scale ~ regional volume + age + sex). Please note that some structures (ie, cerebellar peduncles) are not shown in the figure; full data are shown in the tables. [Color figure can be viewed at wileyonlinelibrary.com]

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