Evidence map›Paper›PMID 37187042›Full record

ArticleNeuroImage. Clinical2023

Subcortical functional connectivity gradients in temporal lobe epilepsy.

Alfredo Lucas, Sofia Mouchtaris, Eli J Cornblath, Nishant Sinha, Lorenzo Caciagli, Peter Hadar, James J Gugger, Sandhitsu Das, Joel M Stein, Kathryn A Davis

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Connectivity of the Piriform Cortex and its Implications in Temporal Lobe Epilepsy.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Interictal intracranial EEG asymmetry lateralizes temporal lobe epilepsy.medRxiv : the preprint server for health sciences · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Alfredo LucasPerelman School of Medicine, University of Pennsylvania, United States; Department of Bioengineering, University of Pennsylvania, United States. Electronic address: alfredo.lucas@pennmedicine.upenn.edu.
Sofia MouchtarisDepartment of Bioengineering, University of Pennsylvania, United States.
Eli J CornblathDepartment of Neurology, University of Pennsylvania, United States.
Nishant SinhaDepartment of Neurology, University of Pennsylvania, United States.
Lorenzo CaciagliDepartment of Bioengineering, University of Pennsylvania, United States.
Peter HadarDepartment of Neurology, Massachusetts General Hospital, United States.
James J GuggerDepartment of Neurology, University of Pennsylvania, United States.
Sandhitsu DasDepartment of Neurology, University of Pennsylvania, United States.
Joel M SteinDepartment of Radiology, University of Pennsylvania, United States.
Kathryn A DavisDepartment of Neurology, University of Pennsylvania, United States.

Funding

Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
NINDS NIH HHS R01 NS116504
6 · The paper itself

Abstract

background and motivationFunctional gradients have been used to study differences in connectivity between healthy and diseased brain states, however this work has largely focused on the cortex. Because the subcortex plays a key role in seizure initiation in temporal lobe epilepsy (TLE), subcortical functional-connectivity gradients may help further elucidate differences between healthy brains and TLE, as well as differences between left (L)-TLE and right (R)-TLE.

methodsIn this work, we calculated subcortical functional-connectivity gradients (SFGs) from resting-state functional MRI (rs-fMRI) by measuring the similarity in connectivity profiles of subcortical voxels to cortical gray matter voxels. We performed this analysis in 24 R-TLE patients and 31 L-TLE patients (who were otherwise matched for age, gender, disease specific characteristics, and other clinical variables), and 16 controls. To measure differences in SFGs between L-TLE and R-TLE, we quantified deviations in the average functional gradient distributions, as well as their variance, across subcortical structures.

resultsWe found an expansion, measured by increased variance, in the principal SFG of TLE relative to controls. When comparing the gradient across subcortical structures between L-TLE and R-TLE, we found that abnormalities in the ipsilateral hippocampal gradient distributions were significantly different between L-TLE and R-TLE.

conclusionOur results suggest that expansion of the SFG is characteristic of TLE. Subcortical functional gradient differences exist between left and right TLE and are driven by connectivity changes in the hippocampus ipsilateral to the seizure onset zone.

Indexed as

Epilepsy, Temporal LobeHippocampusHumansMagnetic Resonance ImagingSeizuresTemporal LobeConnectomeDimensionalityFocal epilepsySubcortex

Identifiers

PMID37187042
PMCPMC10196948

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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.