Evidence map›Paper›PMID 39555677›Full record

ArticleEpilepsia2025

Association of cognitive and structural correlates of brain aging and incident epilepsy. The Framingham Heart Study.

Maria Stefanidou, Jayandra J Himali, Rebecca Bernal, Claudia Satizabal, Orrin Devinsky, Jose R Romero, Alexa S Beiser, Sudha Seshadri, Daniel Friedman

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

9 authors.

Maria StefanidouFramingham Heart Study, Framingham, Massachusetts, USA.ORCID 0000-0002-6276-0924
Jayandra J HimaliFramingham Heart Study, Framingham, Massachusetts, USA.ORCID 0000-0003-1391-9481
Rebecca BernalDepartment of Population Health Sciences, University of Texas Health Science Center, San Antonio, Texas, USA.
Claudia SatizabalGlenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, Texas, USA.
Orrin DevinskyDepartment of Neurology, NYU Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-0044-4632
Jose R RomeroFramingham Heart Study, Framingham, Massachusetts, USA.
Alexa S BeiserFramingham Heart Study, Framingham, Massachusetts, USA.
Sudha SeshadriFramingham Heart Study, Framingham, Massachusetts, USA.
Daniel FriedmanDepartment of Neurology, NYU Grossman School of Medicine, New York, New York, USA.ORCID 0000-0003-1068-1797

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Automated Seizure Detection for Home Seizure Monitoring with Epilog SensorsU44NS121562 · NINDS · EPITEL, INC. · PI LEHMKUHLE, MARK J. · 2021 to 2025
$6.3M
Machine learning approaches for improving EEG data utility in SUDEP researchR01NS123928 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DEVINSKY, ORRIN, FRIEDMAN, DANIEL · 2021 to 2025
$3.1M
Contributions of sleep to preclinical and clinical Alzheimer's diseaseR01AG062531 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HIMALI, JAYANDRA JUNG, PASE, MATTHEW · 2020 to 2023
$3.1M
Spatiotemporal Organization of the Inferior Frontal Gyrus During Speech Production - Resubmission - 1R01NS109367 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FLINKER, ADEEN · 2019 to 2023
$2.8M
Finding A Cure for Epilepsy and SeizuresNational Institute of Aging R01AG054076-02NCCDPHP CDC HHS U48 DP006396NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG054076NIA NIH HHS R01 AG062531NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS109367NINDS NIH HHS R01 NS123928NINDS NIH HHS U44 NS121562
6 · The paper itself

Abstract

objectivesLate-onset epilepsy has the highest incidence among all age groups affected by epilepsy and often occurs in the absence of known clinical risk factors such as stroke and dementia. There is increasing evidence that brain changes contributing to epileptogenesis likely start years before disease onset, and we aim to relate cognitive and imaging correlates of subclinical brain injury to incident late-onset epilepsy in a large, community-based cohort.

methodsWe studied Offspring Cohort of the Framingham Heart Study participants 45 years or older, who were free of prevalent stroke, dementia, or epilepsy, and had neuropsychological (NP) evaluation and brain magnetic resonance imaging (MRI). Cognitive measures included Visual Reproduction Delayed Recall, Logical Memory Delayed Recall, Similarities, Trail Making Test B minus A (TrTB-TrTA; attention and executive function), and a global measure of cognition derived from principal component analysis. MRI measures included total cerebral brain volume, cortical gray matter volume (CGMV), white matter hyperintensity volume (WMHV), and hippocampal volume. Incident epilepsy was identified through a review of administrative data and medical records. Cox proportional hazards regression models were used for the analyses. All analyses were adjusted for age, sex, and educational level (cognition only).

resultsAmong participants who underwent NP testing (n = 2349, 45.81% male), 31 incident epilepsy cases were identified during follow-up. Better performance on the TrTB-TrTA was associated with a lower risk of developing epilepsy (hazard ratio [HR] .25, 95% confidence interval [CI] .08-.73; p = .011). In the subgroup of participants with MRI (n = 2056, 46.01% male), 27 developed epilepsy. Higher WMHV was associated with higher epilepsy risk (HR 1.5, 95%CI 1.01-2.20; p = .042), but higher CGMV (HR .73, 95% CI .57-.93; p = .001) was associated with lower incidence of epilepsy. SIGNIFICANCE: Better performance on the (TrTB-TrTA), a measure of executive function and attention, and higher cortical volumes are associated with lower risk of developing epilepsy. Conversely, higher WMHV, a measure of occult vascular injury, increases the risk. Our study shows that non-invasive tests performed in mid-life may help identify people at risk for developing epilepsy later in life.

Indexed as

AgingBrainCognitionEpilepsyAgedCohort StudiesFemaleHumansIncidenceMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological Testsbrain MRIcognitive testingelderlyepilepsyneuroepidemiology

Identifiers

PMID39555677
PMCPMC11875459

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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.