Evidence map›Paper›PMID 40485628›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2025

Brain Networks Route Neurodegeneration Patterns in Patients with Progressive Supranuclear Palsy.

Carla Palleis, Andrea Quattrone, Amir Dehsarvi, Sebastian N Roemer-Cassiano, Alexander M Bernhardt, AL‐108‐231 Investigators, the PASSPORT Study Group, Hans-Jürgen Huppertz, Maura Malpetti, Adam L Boxer, Johannes Gnörich and 5 more

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Network-dependent remote effects and local tau burden jointly shape neuronal dysfunction in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Article
  3. Review
  4. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Carla PalleisDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.ORCID https://orcid.org/0000-0002-4331-8145
Andrea QuattroneDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.ORCID https://orcid.org/0000-0003-2071-2083
Amir DehsarviInstitute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.ORCID https://orcid.org/0000-0001-7116-9741
Sebastian N Roemer-CassianoDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Alexander M BernhardtDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.ORCID https://orcid.org/0000-0002-2572-5062
AL‐108‐231 Investigators, the PASSPORT Study Group
Hans-Jürgen HuppertzSwiss Epilepsy Clinic, Klinik Lengg, Zurich, Switzerland.
Maura MalpettiDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Adam L BoxerDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Johannes GnörichDepartment of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Lukas FrontzkowskiInstitute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Johannes LevinDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Matthias BrendelMunich Cluster for Systems Neurology (SyNergy), Munich, Germany.ORCID https://orcid.org/0000-0002-9247-2843
Günter U HöglingerDepartment of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
Nicolai FranzmeierMunich Cluster for Systems Neurology (SyNergy), Munich, Germany.

Funding

Deutsche Forschungsgemeinschaft EXC 2145 SyNergyDeutsche Forschungsgemeinschaft ID 390857198German Parkinson Foundation
6 · The paper itself

Abstract

backgroundProgressive supranuclear palsy (PSP) is a neurodegenerative disease driven by 4-repeat τ pathology, which is thought to propagate across interconnected neurons.

objectivesWe hypothesized that interconnected brain regions exhibit correlated atrophy, and that atrophy propagates network-like from fast-declining epicenters to connected regions in PSP.

methodsWe combined resting-state functional magnetic resonance imaging (fMRI) connectomics with two independent 12-month longitudinal structural magnetic resonance imaging (MRI) datasets of PSP-Richardson syndrome (PSP-RS) patients (n

resultsWe observed pronounced atrophy and volume decline in the frontal lobe and subcortical regions bilaterally. Correlated atrophy and volume changes were found among interconnected brain regions, with regions with severe atrophy or rapid decline being strongly connected to similarly affected areas, whereas minimally affected regions were connected to less affected areas. Connectivity patterns of atrophy epicenters predicted patient level atrophy and volume decline.

conclusionsOur findings show that key subcortical and frontal brain regions undergo atrophy in PSP-RS and that gray matter atrophy expands across interconnected brain regions, supporting the view that neurodegeneration patterns may follow the trans-neuronal τ propagation pattern in PSP-RS. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

BrainNerve NetSupranuclear Palsy, ProgressiveAgedAtrophyConnectomeFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle Agedfunctional connectivitygray matter atrophyimagingPSPtauopathies

Identifiers

PMID40485628
PMCPMC12553996

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.