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Record W4414793368 · doi:10.1093/braincomms/fcaf345

Sulcal morphology in former American football players

2025· article· en· W4414793368 on OpenAlexaff
Leonard Jung, Anya S Mirmajlesi, J. W. Stearns, Katherine M. Breedlove, Omar John, Nicholas Kim, Alana Wickham, Yi Su, Hillary Protas, Zachary Baucom, Fatima Tuz‐Zahra, Yorghos Tripodis, Daniel H. Daneshvar, Tim L. T. Wiegand, Tashrif Billah, Ofer Pasternak, Carina Heller, Brian Im, Shae Datta, Michael Coleman, Charles H. Adler, Charles Bernick, Laura J. Balcer, Michael L. Alosco, Alexander Lin, Jeffrey L. Cummings, Eric M. Reiman, Robert A. Stern, Martha E. Shenton, Sylvain Bouix, Inga K. Koerte, Hector Arciniega, Kewei Chen, Connie Boker, Rhoda Au, Robert C. Cantu, Lindsay A. Farrer, Robert Helm, Douglas I. Katz, Neil W. Kowall, Jesse Mez, Gustavo Mercier, James Otis, Jason Weller, Irene Simkin, Alondra Andino, Shannon E. Conneely, Courtney Diamond, Tessa Fagle, Olivia Haller, Tennyson Hunt, Nicole Gullotti, 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, 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, Keith A. Johnson

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
FundersNational Institute on Minority Health and Health DisparitiesNational Institute of Neurological Disorders and StrokeAlzheimer's AssociationRainwater Charitable FoundationBurroughs Wellcome Fund
KeywordsChronic traumatic encephalopathyNeuropsychologyAtrophyNeuroimagingBrain morphometryConcussionTraumatic brain injuryHead injury

Abstract

fetched live from OpenAlex

Abstract Repetitive head impacts are associated with structural brain changes and an increased risk for chronic traumatic encephalopathy, a progressive neurodegenerative disease that can only be diagnosed after death. Chronic traumatic encephalopathy is defined by the abnormal accumulation of phosphorylated tau protein, particularly at the depths of the superior frontal sulci, suggesting that sulcal morphology may serve as a relevant structural biomarker. Contact sport athletes, such as former football players, are at elevated risk due to their prolonged exposure to repetitive head impacts. Cortical atrophy linked to underlying tau accumulation may result in shallower and wider sulci, potentially making sulcal morphology an imaging marker for identifying individuals at risk for this disease. This study investigated sulcal morphological differences in former football players and examined associations with age, football-related exposure, clinical diagnosis of traumatic encephalopathy syndrome, levels of certainty for chronic traumatic encephalopathy pathology, neuropsychological performance, and positron emission tomography imaging using flortaucipir. We analysed structural magnetic resonance imaging data from 169 male former football players (mean age 57.2 (8.2) years, range 45–74) and 54 age-matched, unexposed asymptomatic male controls (mean age 59.4 (8.5) years, range 45–74). Sulcal depth and width were quantified using the CalcSulc, focusing on two regions in each hemisphere commonly affected by chronic traumatic encephalopathy pathology: the superior frontal and occipitotemporal sulci. Generalized least squares models were used to assess group differences and interactions with age and football exposure variables, including age of first exposure, total years played, and cumulative head impact exposure. An analysis of covariance evaluated relationships between sulcal morphology, clinical measures, and flortaucipir uptake, adjusting for age, race, body mass index, education, imaging site, apolipoprotein E4 status, and total intracranial volume. Former football players demonstrated significantly shallower sulcal depth in the left superior frontal sulcus compared to unexposed controls. Earlier age of first exposure and longer football careers were associated with greater widening of the left occipitotemporal sulcus. Higher cumulative head impact exposure was linked to reduced sulcal depth in the left superior frontal region. However, sulcal morphology was not associated with clinical diagnosis, levels of certainty, neuropsychological test performance, or flortaucipir imaging. These findings suggest that sulcal morphology may reflect cumulative exposure to repetitive head impacts, particularly in brain regions vulnerable to chronic traumatic encephalopathy pathology. Future ante- and post-mortem validation studies are needed to determine whether sulcal morphology can serve as a reliable in vivo biomarker of risk.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.094
GPT teacher head0.431
Teacher spread0.337 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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