Evidence map›Paper›PMID 38517477›Full record

ArticleEpilepsia2024

Edge-wise analysis reveals white matter connectivity associated with focal to bilateral tonic-clonic seizures.

Sam S Javidi, Xiaosong He, Ankeeta Ankeeta, Qirui Zhang, Salvatore Citro, Michael R Sperling, Joseph I Tracy

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2024. 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
2.1field-weighted citation impact, top 14% of its field
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, 6 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 2 countries.

Sam S JavidiDepartment of Neurology, Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Xiaosong HeDepartment of Psychology, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0002-7941-2918
Ankeeta AnkeetaDepartment of Neurology, Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Qirui ZhangDepartment of Neurology, Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Salvatore CitroIRCCS SYNLAB SDN, Naples, Italy.
Michael R SperlingDepartment of Neurology, Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0708-6006
Joseph I TracyDepartment of Neurology, Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-5260-3290
Thomas Jefferson University · USUniversity of Science and Technology of China · CN

Funding

Model Development for Prediction of Surgical Outcome in Temporal Lobe Epilepsy Patients: Incorporation of the Correlation between Post-Surgical Reorganization Phenotypes and Pre-Surgical DataR01NS112816 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI TRACY, JOSEPH I. · 2019 to 2023
$2.3M
National Institutes of HealthNational Institute of Neurologic Disorders and Stroke R01 NS112816-01NINDS NIH HHS R01 NS112816
6 · The paper itself

Abstract

objectiveFocal to bilateral tonic-clonic seizures (FBTCS) represent a challenging subtype of focal temporal lobe epilepsy (TLE) in terms of both severity and treatment response. Most studies have focused on regional brain analysis that is agnostic to the distribution of white matter (WM) pathways associated with a node. We implemented a more selective, edge-wise approach that allowed for identification of the individual connections unique to FBTCS.

methodsT1-weighted and diffusion-weighted images were obtained from 22 patients with solely focal seizures (FS), 43 FBTCS patients, and 65 age/sex-matched healthy participants (HPs), yielding streamline (STR) connectome matrices. We used diffusion tensor-derived STRs in an edge-wise approach to determine specific structural connectivity changes associated with seizure generalization in FBTCS compared to matched FS and HPs. Graph theory metrics were computed on both node- and edge-based connectivity matrices.

resultsEdge-wise analyses demonstrated that all significantly abnormal cross-hemispheric connections belonged to the FBTCS group. Abnormal connections associated with FBTCS were mostly housed in the contralateral hemisphere, with graph metric values generally decreased compared to HPs. In FBTCS, the contralateral amygdala showed selective decreases in the structural connection pathways to the contralateral frontal lobe. Abnormal connections in TLE involved the amygdala, with the ipsilateral side showing increases and the contralateral decreases. All the FS findings indicated higher graph metrics for connections involving the ipsilateral amygdala. Data also showed that some FBTCS connectivity effects are moderated by aging, recent seizure frequency, and longer illness duration. SIGNIFICANCE: Data showed that not all STR pathways are equally affected by the seizure propagation of FBTCS. We demonstrated two key biases, one indicating a large role for the amygdala in the propagation of seizures, the other pointing to the prominent role of cross-hemispheric and contralateral hemisphere connections in FBTCS. We demonstrated topographic reorganization in FBTCS, pointing to the specific WM tracts involved.

Indexed as

SeizuresWhite MatterAdultConnectomeDiffusion Tensor ImagingEpilepsy, Temporal LobeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysYoung Adultdiffusion‐weighted MRIepilepsyfocal seizuresgraph theorystructural connectometractography

Identifiers

PMID38517477
PMCPMC11166520
OpenAlexW4393067956

What Socratic holds

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Registered trials

None linked

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 Socratic graph.