Evidence map›Paper›PMID 33582534›Full record

ArticleEpilepsy research2021

Patterns of seizure spread in temporal lobe epilepsy are associated with distinct white matter tracts.

Ezequiel Gleichgerrcht, Adam S Greenblatt, Tanja S Kellermann, Nathan Rowland, W Alexander Vandergrift, Jonathan Edwards, Kathryn A Davis, Leonardo Bonilha

Open access · greenAbstract read
In one paragraph

Article in Epilepsy research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Advanced neuroimaging techniques in epilepsy.Current opinion in neurology · 2022
    Review
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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

8 authors at 2 institutions in 1 country.

Ezequiel GleichgerrchtMedical University of South Carolina, Charleston, SC, USA. Electronic address: gleichge@musc.edu.
Adam S GreenblattMedical University of South Carolina, Charleston, SC, USA; University of Pennsylvania, Philadelphia, PA, USA.
Tanja S KellermannMedical University of South Carolina, Charleston, SC, USA.
Nathan RowlandMedical University of South Carolina, Charleston, SC, USA.
W Alexander VandergriftMedical University of South Carolina, Charleston, SC, USA.
Jonathan EdwardsMedical University of South Carolina, Charleston, SC, USA.
Kathryn A DavisUniversity of Pennsylvania, Philadelphia, PA, USA.
Leonardo BonilhaMedical University of South Carolina, Charleston, SC, USA. Electronic address: bonilha@musc.edu.
Medical University of South Carolina · USUniversity of Pennsylvania · US

Funding

National Neuropsychological Network (NNN)R01MH118514 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DANIEL L DRANE, David W. Loring · 2019 to 2026
$9.4M
Predicting Epilepsy Surgery Outcomes Using Neural Network ArchitectureR01NS110347 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BONILHA, LEONARDO F, DRANE, DANIEL L · 2019 to 2023
$3.6M
Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
Localizing epileptic networks using novel 7T MRI glutamate imagingK23NS092973 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2016 to 2020
$980k
NIMH NIH HHS R01 MH118514NINDS NIH HHS K23 NS092973NINDS NIH HHS R01 NS110347NINDS NIH HHS R01 NS116504
6 · The paper itself

Abstract

objectiveIt is commonly hypothesized that seizure spread patterns in patients with focal epilepsy are associated with structural brain pathways. However, this relationship is poorly understood and has not been fully demonstrated in patients with temporal lobe epilepsy. Here, we sought to determine whether directionality of seizure spread (DSS) is associated with specific cerebral white matter tracts in patients with temporal lobe epilepsy.

methodsThirty-three adult patients with temporal lobe epilepsy who underwent stereoelectroencephalography (sEEG) and magnetic resonance diffusion tensor imaging (MR-DTI) as part of their standard-of-care clinical evaluation were included in the study. DSS was defined as anterior-posterior (AP) or medial-lateral (ML) spread based upon sEEG evaluation by two independent specialists who demonstrated excellent inter-rater agreement (Cohen's kappa = .92). DTI connectometry was used to assess differences between seizure spread pattern groups along major fiber pathways regarding fractional anisotropy (FA).

resultsTwenty-four participants showed seizures with AP spread and nine participants showed seizures with ML spread. There were no significant differences between the groups on their demographic and clinical profile. Patients with ML seizures had higher FA along the corpus callosum and, to a lesser degree, some portions of the bilateral cingulate tracts. In contrast, patients with AP seizures had higher FA along several anterior-posterior white matter projections bundles, including the cingulate fasciculus and the inferior longitudinal, with significantly less involvement of the corpus callosum compared with ML seizures. SIGNIFICANCE: This study confirms the hypothesis that the anatomical pattern of electrophysiological ictal propagation is associated with the structural reinforcement of supporting pathways in temporal lobe epilepsy. This observation can help elucidate mechanisms of ictal propagation and may guide future translational approaches to curtail seizure spread.

Indexed as

Epilepsy, Temporal LobeSeizuresWhite MatterCorpus CallosumDiffusion Tensor ImagingHumansConnectomeSeizureTemporal lobe epilepsyTractography

Identifiers

PMID33582534
PMCPMC7981262
OpenAlexW3128545983

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.