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Record W4416099471 · doi:10.1093/braincomms/fcaf440

Shape analysis of the amygdala, hippocampus and thalamus in former American football players

2025· article· en· W4416099471 on OpenAlexaff
Omar John, Alana Wickham, Leonard Jung, Anya S Mirmajlesi, J. W. Stearns, Katherine M. Breedlove, Nicholas Kim, Daniel H. Daneshvar, Tashrif Billah, Ofer Pasternak, Arushi Chamaria, Michael Coleman, Yorghos Tripodis, Charles H. Adler, Charles Bernick, Laura J. Balcer, R. Jarrett Rushmore, Michael L. Alosco, Inga K. Koerte, Alexander Lin, Jeffrey L. Cummings, Eric M. Reiman, Robert A. Stern, Martha E. Shenton, Hector Arciniega, Sylvain Bouix, Megan Mariani, Brian Mayville, Kathleen McLaughlin, Mary Nanna, Taylor Platt, Surya Pulukuri, Fiona Rice, Madison Sestak, Michael D. McClean, Douglas S. Annis, Christine E. Chaisson, Diane Dixon, Carolyn Finney, Kerrin Gallagher, Kaitlin Hartlage, Jun Lü, Brett Martin, EO Ojo, Joseph Palmisano, Brittany Pine, Janani Ramachandran, Jennifer Fitzsimmons, Ofer Pasternak, Hector Arcinieago, Elena M. Bonke, Eduardo Coello, Michael J. Coleman, Leonhard Jung, Huijun Liao, Maria Loy, Elizabeth Rizzoni, Vivian Schultz, Annelise Silva, Brynn Vessey, Tim L. T. Wiegand, Sarah J. Banks, Jason Miller, Aaron Ritter, Marwan N. Sabbagh, Raelynn de la Cruz, Jan Durant, Morgan Golceker, Nicolette Harmon, Kaeson Kaylegian, Rachelle Long, Christin Nance, Priscilla Sandoval, Robert Turner, Kenneth Marek, Andrew Serrano, David W. Dodick, Yonas E. Geda, Jennifer V. Wethe, Bryce W. Falk, Amy Duffy, Marci Howard, Michelle Montague, Thomas Osgood, Debra Babcock, Patrick S.F. Bellgowan, William Barr, Judith D. Goldberg, Thomas Wısnıewskı, Ivan I. Kirov, Yvonne W. Lui, Charles R. Marmar, Lisena Hasanaj, Liliana Serrano, Alhassan Al-Kharafi, Allan George, Sammie Martin, Edward P. Riley, William Runge, Jeffrey L. Cummings, Elaine R. Peskind, Elizabeth A. Colasurdo, Daniel S. Marcus, Jenny Gurney, Richard M. Greenwald

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
FundersNational Institute of Neurological Disorders and StrokeAlzheimer's Association
KeywordsChronic traumatic encephalopathyTraumatic brain injuryConcussionFootballAsymptomaticHippocampusBrain morphometryNeuroimagingFootball players

Abstract

fetched live from OpenAlex

Abstract Repetitive head impacts are common in contact and collision sports and are linked to structural brain changes and an elevated risk of neurodegenerative diseases such as Chronic Traumatic Encephalopathy. Identifying early in vivo structural markers remains challenging. Although diagnosis currently requires post-mortem confirmation, clinical symptoms, including cognitive impairment and behavioural changes, are reflected in the diagnosis of Traumatic Encephalopathy Syndrome. These symptoms align with dysfunction in key brain regions—amygdala, hippocampus and thalamus—which support memory, emotion and behaviour and commonly show tau pathology in Chronic Traumatic Encephalopathy. This study uses shape analysis to examine structural differences in these regions between former American football players and unexposed asymptomatic controls and evaluates the influence of age, head impact exposure and clinical diagnosis on brain structure. We analyzed brain morphology in former American football players (n = 163) and unexposed, asymptomatic controls (n = 53). Structural segmentation was performed with FreeSurfer 7.1, and the shape analysis pipeline was used to generate subregional reconstructions. Vertex-level morphometry, based on the logarithm of the Jacobian determinant and radial distance, quantified local surface area dilation and thickness. Group differences were examined with covariate-adjusted linear regression models contrasting football players and controls, as well as participants with and without a Traumatic Encephalopathy Syndrome diagnosis. Partial correlations examined the influence of age, age of first football exposure and cumulative head impact index metrics, including frequency, linear acceleration and rotational force. Models were adjusted accordingly for age, body mass index, education, race, imaging site, apolipoprotein ϵ4 status and total intracranial volume. Former football players exhibited bilateral surface area contractions in the hippocampus and amygdala, along with reduced amygdala thickness, compared to controls. Older age was associated with widespread surface contractions and thinning across all regions, except for preserved thickness in the left hippocampus. An earlier age of first exposure to football correlated with surface contractions in the thalamus and left hippocampus. Greater cumulative linear acceleration was linked to bilateral hippocampal surface contractions and reduced thickness in the left thalamus, while greater rotational force exposure was associated with hippocampal thinning. No significant structural differences were found between players with and without a diagnosis of Traumatic Encephalopathy Syndrome. These findings extend volume-based research by revealing localized alterations in surface area dilation and thickness and emphasize the roles of age and repetitive head impact exposure in long-term brain changes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.383
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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