Resting state functional connectivity patterns associated with pharmacological treatment resistance in temporal lobe epilepsy.


Journal

Epilepsy research
ISSN: 1872-6844
Titre abrégé: Epilepsy Res
Pays: Netherlands
ID NLM: 8703089

Informations de publication

Date de publication:
01 2019
Historique:
received: 01 09 2018
revised: 20 10 2018
accepted: 06 11 2018
pubmed: 26 11 2018
medline: 5 6 2019
entrez: 26 11 2018
Statut: ppublish

Résumé

There are no functional imaging based biomarkers for pharmacological treatment response in temporal lobe epilepsy (TLE). In this study, we investigated whether there is an association between resting state functional brain connectivity (RsFC) and seizure control in TLE. We screened a large database containing resting state functional magnetic resonance imaging (Rs-fMRI) data from 286 epilepsy patients. Patient medical records were screened for seizure characterization, EEG reports for lateralization and location of seizure foci to establish uniformity of seizure localization within patient groups. Rs-fMRI data from patients with well-controlled left TLE, patients with treatment-resistant left TLE, and healthy controls were analyzed. Healthy controls and cTLE showed similar functional connectivity patterns, whereas trTLE exhibited a significant bilateral decrease in thalamo-hippocampal functional connectivity. This work is the first to demonstrate differences in neural network connectivity between well-controlled and treatment-resistant TLE. These differences are spatially highly focused and suggest sites for the etiology and possibly treatment of TLE. Altered thalamo-hippocampal RsFC thus is a potential new biomarker for TLE treatment resistance.

Identifiants

pubmed: 30472489
pii: S0920-1211(18)30438-8
doi: 10.1016/j.eplepsyres.2018.11.002
pmc: PMC6483378
mid: NIHMS1516964
pii:
doi:

Substances chimiques

Anticonvulsants 0
Oxygen S88TT14065

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

37-43

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001866
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

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Auteurs

Christina Pressl (C)

Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA; Department of Neurology, New York University, New York, NY, USA.

Philip Brandner (P)

Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA.

Stefan Schaffelhofer (S)

Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA.

Karen Blackmon (K)

Department of Neurology, New York University, New York, NY, USA; Department of Physiology, Neuroscience and Behavioral Sciences, St George's University, Grenada, West Indies.

Patricia Dugan (P)

Department of Neurology, New York University, New York, NY, USA.

Manisha Holmes (M)

Department of Neurology, New York University, New York, NY, USA.

Thomas Thesen (T)

Department of Neurology, New York University, New York, NY, USA; Department of Physiology, Neuroscience and Behavioral Sciences, St George's University, Grenada, West Indies.

Ruben Kuzniecky (R)

Department of Neurology, Hofstra-Northwell Medical School, New York, NY, USA.

Orrin Devinsky (O)

Department of Neurology, New York University, New York, NY, USA.

Winrich A Freiwald (WA)

Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA. Electronic address: wfreiwald@rockefeller.edu.

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