Evidence map›Paper›PMID 34419788›Full record

ArticleNeurobiology of aging2021

Altered network stability in progressive supranuclear palsy.

David J Whiteside, P Simon Jones, Boyd C P Ghosh, Ian Coyle-Gilchrist, Alexander Gerhard, Michele T Hu, Johannes C Klein, P Nigel Leigh, Alistair Church, David J Burn and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Risk Factors for the Diagnosis of Progressive Supranuclear Palsy in the UK Biobank.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  10. Article
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

13 authors at 9 institutions in 2 countries.

David J WhitesideCambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK. Electronic address: djw216@medschl.cam.ac.uk.
P Simon JonesCambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK.
Boyd C P GhoshWessex Neurological Centre, University Hospital Southampton, Southampton, UK.
Ian Coyle-GilchristNorfolk and Norwich University Hospital, Norwich, UK.
Alexander GerhardDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK.
Michele T HuOxford Parkinson's Disease Centre and Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Johannes C KleinOxford Parkinson's Disease Centre and Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
P Nigel LeighDepartment of Neuroscience, Brighton and Sussex Medical School, Brighton, UK.
Alistair ChurchDepartment of Neurology, Royal Gwent Hospital, Newport, UK.
David J BurnFaculty of Medical Sciences, Newcastle University, Newcastle, UK.
Huw R MorrisDepartment of Clinical and Movement Neurosciences, University College London. Queen Square Institute of Neurology, London, UK.
James B RoweCambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK.
Timothy RittmanCambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK.
University of Cambridge · GBUniversity of Oxford · GBBrighton and Sussex Medical School · GBNational Hospital for Neurology and Neurosurgery · GBNewcastle University · GBNorfolk and Norwich University Hospital · GBRoyal Gwent Hospital · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Medical Research Council G1100464Wellcome Trust 220258
6 · The paper itself

Abstract

The clinical syndromes of Progressive Supranuclear Palsy (PSP) may be mediated by abnormal temporal dynamics of brain networks, due to the impact of atrophy, synapse loss and neurotransmitter deficits. We tested the hypothesis that alterations in signal complexity in neural networks influence short-latency state transitions. Ninety-four participants with PSP and 64 healthy controls were recruited from two independent cohorts. All participants underwent clinical and neuropsychological testing and resting-state functional MRI. Network dynamics were assessed using hidden Markov models and neural signal complexity measured in terms of multiscale entropy. In both cohorts, PSP increased the proportion of time in networks associated with higher cognitive functions. This effect correlated with clinical severity as measured by the PSP-rating-scale, and with reduced neural signal complexity. Regional atrophy influenced abnormal brain-state occupancy, but abnormal network topology and dynamics were not restricted to areas of atrophy. Our findings show that the pathology of PSP causes clinically relevant changes in neural temporal dynamics, leading to a greater proportion of time in inefficient brain-states.

Indexed as

AgedAtrophyBrainCognitionFemaleHumansMagnetic Resonance ImagingMaleMarkov ChainsMiddle AgedNerve NetNeuropsychological TestsNeurotransmitter AgentsSupranuclear Palsy, ProgressiveSynapsesNeurotransmitter AgentsComplexityHidden Markov modelsNetwork dynamicsProgressive supranuclear palsy

Identifiers

PMID34419788
PMCPMC8599965
OpenAlexW3186164865

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.