Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network

Julia A Camilleri; Felix Hoffstaedter; Maxim Zavorotny; Rebecca Zöllner; Robert Christian Wolf; Philipp Thomann; Ronny Redlich; Nils Opel; Udo Dannlowski; Michael Grözinger; Traute Demirakca; Alexander Sartorius; Simon B Eickhoff; Thomas Nickl-Jockschat

doi:10.1016/j.nicl.2019.102114

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Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network

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Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network

Julia A Camilleri, Felix Hoffstaedter, Maxim Zavorotny, Rebecca Zöllner, Robert Christian Wolf, Philipp Thomann, Ronny Redlich, Nils Opel, Udo Dannlowski, Michael Grözinger, …

NeuroImage clinical, Vol.25, pp.102114-102114

2020

DOI: 10.1016/j.nicl.2019.102114

PMCID: PMC6939059

PMID: 31884221

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Abstract

•We here present a structural neuroimaging study reporting on a large multi-site patient sample with unipolar depression that underwent ECT.•Patients showed grey matter increases in the medial temporal lobe.•Connectivity modeling revealed that this altered brain region was involved in networks related to affect processing and memory.•This provides a potential explanation, how these structural changes during ECT are involved in both main and side effects of the treatment. A growing number of recent studies has suggested that the neuroplastic effects of electroconvulsive therapy (ECT) might be prominent enough to be detected through changes of regional gray matter volumes (GMV) during the course of the treatment. Given that ECT patients are difficult to recruit for imaging studies, most publications, however, report only on small samples. Addressing this challenge, we here report results of a structural imaging study on ECT patients that pooled patients from five German sites. Whole-brain voxel-based morphometry (VBM) analysis was performed to detect structural differences in 85 patients with unipolar depression before and after ECT, when compared to 86 healthy controls. Both task-independent and task-dependent physiological whole-brain functional connectivity patterns of these regions were modeled using additional data from healthy subjects. All emerging regions were additionally functionally characterized using the BrainMap database. Our VBM analysis detected a significant increase of GMV in the right hippocampus/amygdala region in patients after ECT compared to healthy controls. In healthy subjects this region was found to be enrolled in a network associated with emotional processing and memory. A region in the left fusiform gyrus was additionally found to have higher GMV in controls when compared with patients at baseline. This region showed minor changes after ECT. Our data points to a GMV increase in patients post ECT in regions that seem to constitute a hub of an emotion processing network. This appears as a plausible antidepressant mechanism and could explain the efficacy of ECT not only in the treatment of unipolar depression, but also of affective symptoms across heterogeneous disorders.

Connectivity

Electroconvulsive therapy

Emotion

Morphometry

Memory

Brain structure

Details

Title: Subtitle: Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network
Creators: Julia A Camilleri - Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany
Felix Hoffstaedter - Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany
Maxim Zavorotny - Department of Psychiatry and Psychotherapy, Marburg Center for Mind, Brain and Behavior – MCMBB, Philipps-University Marburg, 35043 Marburg, Germany
Rebecca Zöllner - Department of Psychiatry and Psychotherapy, Marburg Center for Mind, Brain and Behavior – MCMBB, Philipps-University Marburg, 35043 Marburg, Germany
Robert Christian Wolf - Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
Philipp Thomann - Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
Ronny Redlich - Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Nils Opel - Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Udo Dannlowski - Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Michael Grözinger - Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
Traute Demirakca - Central Institute of Mental Health, Mannheim, Germany
Alexander Sartorius - Central Institute of Mental Health, Mannheim, Germany
Simon B Eickhoff - Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany
Thomas Nickl-Jockschat - Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
Resource Type: Journal article
Publication Details: NeuroImage clinical, Vol.25, pp.102114-102114
DOI: 10.1016/j.nicl.2019.102114
PMID: 31884221
PMCID: PMC6939059
NLM abbreviation: Neuroimage Clin
ISSN: 2213-1582
eISSN: 2213-1582
Publisher: Elsevier Inc
Language: English
Date published: 2020
Academic Unit: Psychiatry; Iowa Neuroscience Institute; Neuroscience and Pharmacology
Record Identifier: 9984070465002771

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