Evidence map›Paper›PMID 42638706›Full record

ArticleFrontiers in human neuroscience2026

Population-referenced multiregional brain-volume profiles associated with performance and concussion history in athletes: an exploratory study.

Mark Lindsay, Craig Harness, Owen Phillips, Kevin Aquino, Nathan Strong, Brady J Williamson

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mark LindsayDepartment of Neuroscience, Queen's University, Kingston, ON, Canada.
Craig HarnessDepartment of Anatomy, Queen's University, Kingston, ON, Canada.
Owen PhillipsBrainKey, Inc., San Francisco, CA, United States.
Kevin AquinoBrainKey, Inc., San Francisco, CA, United States.
Nathan StrongBrainKey, Inc., San Francisco, CA, United States.
Brady J WilliamsonDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Elite athletes may exhibit structural brain profiles shaped by long-term training, selection into elite sport, exposure to repetitive head impacts, or combinations of these factors. Interpreting brain structure in this population is challenging because general-population reference values may not distinguish adaptive athlete-associated variation from injury-related or clinically meaningful change. In this exploratory cross-sectional study, we used age- and sex-referenced regional brain-volume percentiles as a population-referenced framework to examine whether multiregional structural profiles in elite athletes were associated with athletic performance, sensorimotor function, and reported concussion history. Methods: Fifty-one active and retired elite athletes underwent 3T structural MRI and robotic sensorimotor testing (KINARM). T1-weighted scans were segmented using BrainKey (brainkey.ai) to obtain age- and sex-referenced regional percentiles across 18 brain regions. Principal component analysis (PCA) was applied directly to the regional percentile measures, and Bayesian models assessed associations with ordered performance ratings, KINARM components, and reported concussion history. Results: Five principal components explained 71.4% of the variance. Brain PC1 was positively associated with higher performance-group membership [β = 0.53, 95% CrI (0.04, 1.02), posterior probability of direction = 0.983, Discussion: These exploratory findings indicate that population-referenced multiregional brain-volume profiles may be related to athletic performance, sensorimotor function, and reported concussion history. The results do not establish pathological or beneficial structural brain change and do not construct or validate an athlete-specific normative model. Instead, they identify candidate multiregional profiles for evaluation in larger, longitudinal athlete cohorts with matched non-athlete comparison groups.

Indexed as

brain volumeconcussionelite athletesnormative modelingprincipal component analysissensorimotor performancestructural MRI

Identifiers

PMID42638706
PMCPMC13500568

What Socratic holds

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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 Socratic graph.