Cognitive, biomarker, and neuroimaging indices associated with traumatic encephalopathy syndrome across two independent athlete cohorts

Traumatic encephalopathy syndrome (TES) is a clinical research construct used to identify individuals at risk for chronic traumatic encephalopathy (CTE) following exposure to repetitive head impacts (RHI). Adjudication of TES relies on clinical features such as progressive cognitive impairment and neurobehavioral dysregulation. Blood-based biomarkers and structural neuroimaging abnormalities have been associated with TES but are not part of the criteria. This study evaluated whether TES identification was associated with the combined contribution of cognitive performance, blood biomarkers, and structural neuroimaging measures across two well-characterized cohorts. Participants included 158 professional fighters from the Professional Athletes Brain Health Study and 149 former American football players from The DIAGNOSE CTE Research Project. Three indices were constructed representing complementary domains: a cognitive index reflecting cohort-specific cognitive features, a blood biomarker index including plasma neurofilament light chain, glial fibrillary acidic protein, total tau, tau phosphorylated at amino acid 231, and APOE -ε4 carrier status, and an imaging index comprising volumetric MRI measures of subcortical structures, ventricles, and corpus callosum subregions. Grouped weighted quantile sum regression models were estimated within each cohort to evaluate associations between these indices and TES while adjusting for age, race, competition status, and RHI exposure. Multidomain models demonstrated improved model performance compared with single-domain models in both cohorts (PABHS: AUC = 0.91, PPV = 0.80; DIAGNOSE CTE: AUC = 0.84, PPV = 0.85). Biomarker and imaging indices contributed additional information across cohorts, although imaging contributions were more prominent in fighters whereas blood biomarker associations were stronger in football players. TES in RHI-exposed athletes was associated with a convergent clinicobiological profile observed across two independent cohorts with distinct exposure patterns. These findings support multidomain analytic frameworks for evaluating correlated biological signals in RHI-exposed populations and may inform future studies of TES and CTE.

Authors

Institutions

Publication Details

Journal
Alzheimer s Research & Therapy
Published
2026-06-13
DOI
https://doi.org/10.1186/s13195-026-02110-8
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cognitive, biomarker, and neuroimaging indices associated with traumatic encephalopathy syndrome across two independent athlete cohorts

Laura J. Balcer, Douglas I. Katz, Charles H. Adler, Brooke Conway Kleven et al.
Alzheimer s Research & Therapy
Traumatic Brain Injury Research
article

Cognitive, biomarker, and neuroimaging indices associated with traumatic encephalopathy syndrome across two independent athlete cohorts

Laura J. Balcer, Douglas I. Katz, Charles H. Adler, Brooke Conway Kleven, Robert C. Cantu, Lung-Chang Chien, Ofer Pasternak, Eric M. Reiman, Robert A. Stern, Martha E. Shenton, Yorghos Tripodis, Elaine Peskind, Dana Surwill, Jennifer V. Wethe, Inga K. Koerte, Jesse Mez, Jeffrey L. Cummings, Henrik Zetterberg, Michael L. Alosco, Charles Bernick
article en

Abstract

Traumatic encephalopathy syndrome (TES) is a clinical research construct used to identify individuals at risk for chronic traumatic encephalopathy (CTE) following exposure to repetitive head impacts (RHI). Adjudication of TES relies on clinical features such as progressive cognitive impairment and neurobehavioral dysregulation. Blood-based biomarkers and structural neuroimaging abnormalities have been associated with TES but are not part of the criteria. This study evaluated whether TES identification was associated with the combined contribution of cognitive performance, blood biomarkers, and structural neuroimaging measures across two well-characterized cohorts. Participants included 158 professional fighters from the Professional Athletes Brain Health Study and 149 former American football players from The DIAGNOSE CTE Research Project. Three indices were constructed representing complementary domains: a cognitive index reflecting cohort-specific cognitive features, a blood biomarker index including plasma neurofilament light chain, glial fibrillary acidic protein, total tau, tau phosphorylated at amino acid 231, and APOE -ε4 carrier status, and an imaging index comprising volumetric MRI measures of subcortical structures, ventricles, and corpus callosum subregions. Grouped weighted quantile sum regression models were estimated within each cohort to evaluate associations between these indices and TES while adjusting for age, race, competition status, and RHI exposure. Multidomain models demonstrated improved model performance compared with single-domain models in both cohorts (PABHS: AUC = 0.91, PPV = 0.80; DIAGNOSE CTE: AUC = 0.84, PPV = 0.85). Biomarker and imaging indices contributed additional information across cohorts, although imaging contributions were more prominent in fighters whereas blood biomarker associations were stronger in football players. TES in RHI-exposed athletes was associated with a convergent clinicobiological profile observed across two independent cohorts with distinct exposure patterns. These findings support multidomain analytic frameworks for evaluating correlated biological signals in RHI-exposed populations and may inform future studies of TES and CTE.

Alzheimer s Research & Therapy
Boston University (US), Brigham and Women's Hospital (US), Boston Medical Center (US), Cleveland Clinic (US), University of Nevada, Las Vegas (US), Harvard University (US), University of Arizona (US), University of Washington (US), Lou Ruvo Brain Institute (US), Massachusetts General Hospital (US), VA Puget Sound Health Care System (US), Boston University Academy (US), German Center for Infection Research (DE), Mayo Clinic in Arizona (US), German Centre for Cardiovascular Research (DE), Cognitive Neuroimaging Lab (FR), Banner Alzheimer’s Institute, Mass General Brigham (US), New York University (US), Ludwig-Maximilians-Universität München (DE)
Good health and well-being
Openalex Percentile: Top 6%
Traumatic Brain Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.