Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies

Overview

Journal Front Hum Neurosci

Specialty Neurology

Date 2021 Aug 12

PMID 34381344

Citations 7

Authors

Irena Balzekas

Vladimir Sladky

Petr Nejedly

Benjamin H Brinkmann

Daniel Crepeau

Filip Mivalt

Nicholas M Gregg

Tal Pal Attia

Victoria S Marks

Lydia Wheeler

Tori E Riccelli

Jeffrey P Staab

Brian Nils Lundstrom

Kai J Miller

Jamie Van Gompel

Vaclav Kremen

Paul E Croarkin

Gregory A Worrell

Affiliations

Soon will be listed here.

Abstract

Intracranial electroencephalographic (iEEG) recordings from patients with epilepsy provide distinct opportunities and novel data for the study of co-occurring psychiatric disorders. Comorbid psychiatric disorders are very common in drug-resistant epilepsy and their added complexity warrants careful consideration. In this review, we first discuss psychiatric comorbidities and symptoms in patients with epilepsy. We describe how epilepsy can potentially impact patient presentation and how these factors can be addressed in the experimental designs of studies focused on the electrophysiologic correlates of mood. Second, we review emerging technologies to integrate long-term iEEG recording with dense behavioral tracking in naturalistic environments. Third, we explore questions on how best to address the intersection between epilepsy and psychiatric comorbidities. Advances in ambulatory iEEG and long-term behavioral monitoring technologies will be instrumental in studying the intersection of seizures, epilepsy, psychiatric comorbidities, and their underlying circuitry.

Citing Articles

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Artificial intelligence in epilepsy phenotyping.

Knight A, Gschwind T, Galer P, Worrell G, Litt B, Soltesz I Epilepsia. 2023; .

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Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification.

Nejedly P, Kremen V, Lepkova K, Mivalt F, Sladky V, Pridalova T Sci Rep. 2023; 13(1):744.

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Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation.

Sladky V, Nejedly P, Mivalt F, Brinkmann B, Kim I, St Louis E Brain Commun. 2022; 4(3):fcac115.

PMID: 35755635 PMC: 9217965. DOI: 10.1093/braincomms/fcac115.

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