Evidence map›Paper›PMID 41669528›Full record

ArticleFrontiers in neurology2025

Cognitive and neurobehavioral phenotypes of post 9/11 veterans with epilepsy and mild traumatic brain injury.

Samin Panahi, Eamonn Kennedy, Jamie Mayo, Lee Christensen, Sreekanth Kamineni, Hari Krishna Raju Sagiraju, Tyler Cooper, Shirin Saleh, Justin M Losciale, Angela Peters and 2 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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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0citing papers in PubMed
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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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Samin PanahiVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Eamonn KennedyVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Jamie MayoDivision of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Lee ChristensenVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Sreekanth KamineniVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Hari Krishna Raju SagirajuPreventive Oncology, All India Institute of Medical Sciences, New Delhi, India.
Tyler CooperVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Shirin SalehVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Justin M LoscialeVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Angela PetersVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.
Randall RupperVA Salt Lake City Health Care System, Geriatric Research, Education and Clinical Center, Salt Lake City, UT, United States.
Mary Jo PughVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traumatic brain injury (TBI) and epilepsy are significant health concerns among the veteran population, but the links between mild TBI and cognitive and behavioral changes in epilepsy have been little explored. This study leveraged natural language processing of medical records and chart review to assess the prevalence and patterns of cognitive and behavioral symptoms in post-9/11 veterans with epilepsy, with and without history of mild TBI. The study objective was to identify distinct neurobehavioral phenotypes, and then explore their socio-demographic factors, comorbidities, and phenotypes. Methods: We conducted a detailed chart review using NLP to extract cognitive dysfunction indicators that were categorized into seven Research Domain Criteria domains. Employing Uniform Manifold Approximation and Projection for clustering and dimensionality reduction. Results: By clustering individuals on behavioral and cognitive concepts in medical notes, this study extends beyond traditional diagnostic classifications, revealing a cognitive and behavioral phenotype of veterans. Veterans with post traumatic epilepsy often demonstrate significant cognitive risk profiles associated with RDoC domains, particularly in domains related to cognitive function and arousal/regulatory systems. Both veterans with TBI before Epilepsy post traumatic epilepsy and those with epilepsy preceding TBI displayed greater cognitive and behavioral burden compared to veteran with TBI only. Notably, epilepsy preceding TBI were found more often clustering in high behavioral risk profiles. This group with epilepsy preceding TBI was associated with, including dysfunction in the RDoC domains related to negative valence systems (44.4%), arousal/regulatory systems (37.0%), and interpersonal trauma. Discussion: These findings highlight the complex interplay between TBI and Epilepsy in shaping long term cognitive/behavioral challenges and point to the need for targeted clinical management, personalized treatment approaches, and refined therapeutic strategies to maximize the quality of life for affected veterans.

Indexed as

cognitiveepilepsymild traumatic brain injurymilitary healthnatural language processingphenotypingveterans

Identifiers

PMID41669528
PMCPMC12883409

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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 OpenQuestion graph.