Fronto-medial electrode placement for electroconvulsive treatment of depression.

ECT computational modeling depression electric fields side-effects

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2022
Historique:
received: 27 08 2022
accepted: 03 10 2022
entrez: 7 11 2022
pubmed: 8 11 2022
medline: 8 11 2022
Statut: epublish

Résumé

Electroconvulsive therapy (ECT) is the most effective treatment for severe treatment-resistant depression but concern about cognitive side-effects, particularly memory loss, limits its use. Recent observational studies on large groups of patients who have received ECT report that cognitive side-effects were associated with electric field (EF) induced increases in hippocampal volume, whereas therapeutic efficacy was associated with EF induced increases in sagittal brain structures. The aim in the present study was to determine whether a novel fronto-medial (FM) ECT electrode placement would minimize electric fields in bilateral hippocampi (HIP) whilst maximizing electric fields in dorsal sagittal cortical regions. An anatomically detailed computational head model was used with finite element analysis, to calculate ECT-induced electric fields in specific brain regions identified by translational neuroimaging studies of treatment-resistant depressive illness, for a range of electrode placements. As hypothesized, compared to traditional bitemporal (BT) electrode placement, a specific FM electrode placement reduced bilateral hippocampal electric fields two-to-three-fold, whilst the electric fields in the dorsal anterior cingulate (dAC) were increased by approximately the same amount. We highlight the clinical relevance of this specific FM electrode placement for ECT, which may significantly reduce cognitive and non-cognitive side-effects and suggest a clinical trial is indicated.

Identifiants

pubmed: 36340770
doi: 10.3389/fnins.2022.1029683
pmc: PMC9631818
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1029683

Informations de copyright

Copyright © 2022 Steele, Farnan, Semple and Bai.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

J Douglas Steele (JD)

School of Medicine, University of Dundee, Dundee, United Kingdom.

Tom Farnan (T)

School of Medicine, University of Dundee, Dundee, United Kingdom.

David M Semple (DM)

University Hospital Hairmyres, NHS Lanarkshire, Glasgow, United Kingdom.

Siwei Bai (S)

Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.

Classifications MeSH