Evidence map›Paper›PMID 39576226›Full record

ArticleEpilepsia2025

Structural connectivity changes in focal epilepsy: Beyond the epileptogenic zone.

Jessica V Barrios-Martinez, Anmol Almast, Ivan Lin, Aya Youssef, Thandar Aung, David Fernandes-Cabral, Fang-Cheng Yeh, Yue-Fang Chang, Joseph Mettenburg, Michel Modo and 2 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Quantitative dual-tracerEuropean journal of nuclear medicine and molecular imaging · 2026
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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.

Jessica V Barrios-MartinezDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-3787-4476
Anmol AlmastDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Ivan LinDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Aya YoussefDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Thandar AungDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
David Fernandes-CabralDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Yue-Fang ChangDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Joseph MettenburgDepartment of Radiology, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Michel ModoDepartment of Radiology, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Luke HenryDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Jorge A Gonzalez-MartinezDepartment of Neurological Surgery, University of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.

Funding

Ultra-high Resolution Structural Connectome Atlases of the Animal Brain and their Associated ToolboxR01NS120954 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FANG-CHENG YEH · 2022 to 2026
$2.8M
Establishing novel properties of dynamic systems models to identify epileptogenic networks in patients with drug resistant epilepsyR01NS122927 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Jorge Alvaro Gonzalez-Martinez, Sridevi V. Sarma · 2022 to 2026
$1.3M
NIH HHS 1R01NS122927-01A1NIH HHS R01NS120954-04NINDS NIH HHS R01 NS120954NINDS NIH HHS R01 NS122927
6 · The paper itself

Abstract

objectiveEpilepsy is recognized increasingly as a network disease, with changes extending beyond the epileptogenic zone (EZ). However, more studies of structural connectivity are needed to better understand the behavior and nature of this condition.

methodsIn this study, we applied differential tractography, a novel technique that measures changes in anisotropic diffusion, to assess widespread structural connectivity alterations in a total of 42 patients diagnosed with medically refractory epilepsy (MRE), including 27 patients with focal epilepsy and 15 patients with multifocal epilepsy that were included to validate our hypothesis. All patients were compared individually to an averaged database constructed from 19 normal controls regressed by age and sex.

resultsStatistical analyses revealed specific distribution patterns of tracts with increased connectivity that were located in multiple subcortical structures across all patients including the arcuate fasciculus, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, uncinate fasciculus, fornix, and short U fibers. Conversely, pathways with a significant decrease in connectivity (p < .05) exhibited a more central distribution near mesial structures across all patients (corpus callosum, cingulum, corticospinal tract, and sensory fibers). SIGNIFICANCE: Our findings add to the growing evidence that focal epilepsy is not solely anatomically confined, but is rather a network disorder that extends beyond the EZ, and differential tractography shows strong potential as a clinical biomarker for assessing structural connectivity alterations in patients with epilepsy.

Indexed as

BrainDrug Resistant EpilepsyEpilepsies, PartialNeural PathwaysAdolescentAdultDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedYoung Adultbiomarkerdifferential tractographydiffusion MRIepileptogenic zonemedical refractory epilepsystructural connectivity

Identifiers

PMID39576226
PMCPMC11741924

What OpenQuestion holds

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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.