Subcortical functional connectivity gradients in temporal lobe epilepsy.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2023
Historique:
received: 21 01 2023
revised: 20 04 2023
accepted: 22 04 2023
medline: 19 6 2023
pubmed: 16 5 2023
entrez: 15 5 2023
Statut: ppublish

Résumé

Functional 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. In 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. We 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. Our 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.

Sections du résumé

BACKGROUND AND MOTIVATION
Functional 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.
METHODS
In 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.
RESULTS
We 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.
CONCLUSION
Our 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.

Identifiants

pubmed: 37187042
pii: S2213-1582(23)00107-9
doi: 10.1016/j.nicl.2023.103418
pmc: PMC10196948
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103418

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS116504
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alfredo Lucas (A)

Perelman School of Medicine, University of Pennsylvania, United States; Department of Bioengineering, University of Pennsylvania, United States. Electronic address: alfredo.lucas@pennmedicine.upenn.edu.

Sofia Mouchtaris (S)

Department of Bioengineering, University of Pennsylvania, United States.

Eli J Cornblath (EJ)

Department of Neurology, University of Pennsylvania, United States.

Nishant Sinha (N)

Department of Neurology, University of Pennsylvania, United States.

Lorenzo Caciagli (L)

Department of Bioengineering, University of Pennsylvania, United States.

Peter Hadar (P)

Department of Neurology, Massachusetts General Hospital, United States.

James J Gugger (JJ)

Department of Neurology, University of Pennsylvania, United States.

Sandhitsu Das (S)

Department of Neurology, University of Pennsylvania, United States.

Joel M Stein (JM)

Department of Radiology, University of Pennsylvania, United States.

Kathryn A Davis (KA)

Department of Neurology, University of Pennsylvania, United States.

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Classifications MeSH