Evidence map›Paper›PMID 41280025›Full record

ArticlebioRxiv : the preprint server for biology2025

Clinical profile impacts the replicability of multivariate brain-behavioural associations.

Michelle Wang, Brent C McPherson, Bratislav Misic, Franco Pestilli, Celia M T Greenwood, Jean-Baptiste Poline

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Michelle WangMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-3432-6899
Brent C McPhersonMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada.ORCID 0000-0001-8378-8136
Bratislav MisicMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-0307-2862
Franco PestilliDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, The University of Texas at Austin, Austin, Texas, United States.ORCID 0000-0002-2469-0494
Celia M T GreenwoodDepartment of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-2427-5696
Jean-Baptiste PolineMcConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-9794-749X

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Yaroslav O Halchenko · 2016 to 2026
$15.2M
Large-scale meta-analysis of functional MRI dataR01MH096906 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alejandro De La Vega · 2012 to 2026
$7.9M
Exposing the Deep Content of the Publication: Knowledge Extraction for Neuroimaging in Child PsychiatryR01MH083320 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FRAZIER, JEAN A, KENNEDY, DAVID NELSON · 2009 to 2020
$6.3M
The Neuroimaging Data Model: FAIR descriptors of Brain Initiative Imaging ExperimentsRF1MH120021 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI KEATOR, DAVID BRYANT · 2019 to 2019
$944k
NIBIB NIH HHS P41 EB019936NIMH NIH HHS R01 MH083320NIMH NIH HHS R01 MH096906NIMH NIH HHS RF1 MH120021
6 · The paper itself

Abstract

Recent work suggests that thousands of individuals are required in multivariate brain-behaviour analyses to obtain consistently replicable results. Some believe, however, that smaller sample sizes may be sufficient if specific subpopulations are targeted. We investigated how sample size and cohort composition influence the replicability of Canonical Correlation Analysis (CCA) results using the UK Biobank (N=40,514). We applied CCA to diffusion-weighted magnetic resonance imaging (dMRI) phenotypes and cognitive assessment test scores. We defined four participant cohorts based on clinical profile and found that, across all cohorts, sample sizes of around 500 were needed to obtain replicable canonical correlations and variable loadings. The most targeted cohort required much fewer samples to achieve similar or greater correlations than the other cohorts. Variable loadings were consistent between sample sizes of ~500 to thousands, suggesting that sample sizes in the order of hundreds may be sufficient for obtaining reliable CCA results.

Identifiers

PMID41280025
PMCPMC12632572

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.