Evidence map›Paper›PMID 35602649›Full record

ArticleBrain communications2022

A data-driven model of brain volume changes in progressive supranuclear palsy.

W J Scotton, M Bocchetta, E Todd, D M Cash, N Oxtoby, L VandeVrede, H Heuer, PROSPECT Consortium, 4RTNI Consortium, D C Alexander, J B Rowe and 4 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. ISSLS Prize in Clinical Science 2026: Data-driven classification of lumbar spine degeneration trajectories in chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  13. sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.Information processing in medical imaging : proceedings of the ... conference · 2023
    Article
  14. Deep Learning Aided Neuroimaging and Brain Regulation.Sensors (Basel, Switzerland) · 2023
    Review
  15. Pathomechanisms of cognitive impairment in progressive supranuclear palsy.Journal of neural transmission (Vienna, Austria : 1996) · 2023
    Review
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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

14 authors at 5 institutions in 2 countries.

W J ScottonDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-0607-3190
M BocchettaDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-1814-5024
E ToddDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-1551-5691
D M CashDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0001-7833-616X
N OxtobyCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.ORCID https://orcid.org/0000-0003-0203-3909
L VandeVredeDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
H HeuerDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
PROSPECT Consortium, 4RTNI Consortium
D C AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
J B RoweDepartment of Clinical Neurosciences, Cambridge University, Cambridge University Hospitals NHS Trust, Cambridge, UK.
H R MorrisDepartment of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-5473-3774
A BoxerDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
J D RohrerDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
P A WijeratneCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.ORCID https://orcid.org/0000-0002-4885-6241
UK Dementia Research Institute · GBUniversity College London · GBUniversity of California, San Francisco · USMRC Cognition and Brain Sciences Unit · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI ADAM L. BOXER, Bradley F Boeve · 2019 to 2026
$120.9M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MARIA LUISA GORNO TEMPINI · 2002 to 2026
$67.2M
The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
Validation of Novel Plasma Biomarkers for Mixed Etiology DementiaK23AG073514 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VANDEVREDE, LAWREN · 2021 to 2025
$1.0M
Medical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MC_UU_00030/14Medical Research Council MR/M008525/1Medical Research Council MR/M023664/1Medical Research Council MR/P01271X/1Medical Research Council MR/S03546X/1Medical Research Council MR/T027770/1Medical Research Council MR/T046015/1Medical Research Council MR/T046422/1NIA NIH HHS K23 AG073514NIA NIH HHS L30 AG069301NIA NIH HHS P01 AG019724NIA NIH HHS R01 AG038791NIA NIH HHS U19 AG063911NIA NIH HHS U24 AG057437Wellcome Trust 220258
6 · The paper itself

Abstract

The most common clinical phenotype of progressive supranuclear palsy is Richardson syndrome, characterized by levodopa unresponsive symmetric parkinsonism, with a vertical supranuclear gaze palsy, early falls and cognitive impairment. There is currently no detailed understanding of the full sequence of disease pathophysiology in progressive supranuclear palsy. Determining the sequence of brain atrophy in progressive supranuclear palsy could provide important insights into the mechanisms of disease progression, as well as guide patient stratification and monitoring for clinical trials. We used a probabilistic event-based model applied to cross-sectional structural MRI scans in a large international cohort, to determine the sequence of brain atrophy in clinically diagnosed progressive supranuclear palsy Richardson syndrome. A total of 341 people with Richardson syndrome (of whom 255 had 12-month follow-up imaging) and 260 controls were included in the study. We used a combination of 12-month follow-up MRI scans, and a validated clinical rating score (progressive supranuclear palsy rating scale) to demonstrate the longitudinal consistency and utility of the event-based model's staging system. The event-based model estimated that the earliest atrophy occurs in the brainstem and subcortical regions followed by progression caudally into the superior cerebellar peduncle and deep cerebellar nuclei, and rostrally to the cortex. The sequence of cortical atrophy progresses in an anterior to posterior direction, beginning in the insula and then the frontal lobe before spreading to the temporal, parietal and finally the occipital lobe. This

Indexed as

biomarkersdisease progressionevent-based modelmachine learningprogressive supranuclear palsy

Identifiers

PMID35602649
PMCPMC9118104
OpenAlexW4224064012

What Socratic 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 Socratic graph.