Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-18T11:10:27.125Z Has data issue: false hasContentIssue false

White matter changes following electroconvulsive therapy for depression: a mega-analysis

Published online by Cambridge University Press:  01 September 2022

J.-B. Belge*
Affiliation:
University of Antwerp, Collaborative Antwerp Psychiatric Research Institute (capri), Duffel, Belgium
P. Mulders
Affiliation:
Radboud University Medical Center, Donders Institute For Brain, Cognition And Behavior, Centre For Neuroscience, Nijmegen, Netherlands
L. Van Diermen
Affiliation:
University of Antwerp, Collaborative Antwerp Psychiatric Research Institute (capri), Duffel, Belgium
A. Dols
Affiliation:
Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, Netherlands
M. Oudega
Affiliation:
Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, Netherlands
I. Tendolkar
Affiliation:
Radboud University Medical Center, Donders Institute For Brain, Cognition And Behavior, Centre For Neuroscience, Nijmegen, Netherlands
P. Van Eijndhoven
Affiliation:
Radboud University Medical Center, Donders Institute For Brain, Cognition And Behavior, Centre For Neuroscience, Nijmegen, Netherlands
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Electroconvulsive therapy (ECT) is proposed to exert an effect on white matter (WM) microstructure, but the limited power of previous studies made it difficult to highlight consistent patterns of change in diffusion metrics.

Objectives

We initiated a multi-site mega-analysis and sought to address whether changes in WM microstructure occur following ECT.

Methods

To this end, diffusion tensor imaging (DTI) data (n=58) from 4 different sites were harmonized before pooling them by using ComBat, a batch-effect correction tool that removes inter-site technical variability, preserves inter-site biological variability and maximizes statistical power. Downstream statistical analyses aimed to quantify changes in Fractional anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD), by employing whole-brain, tract-based spatial statistics (TBSS).

Results

ECT increases FA in the right splenium of the corpus callosum and the left cortico-spinal tract. Both the left superior longitudinal fasciculus and the right inferior fronto-occipital fasciculus showed increases in AD. Increases in MD and RD could be observed in overlapping white matter structures of both hemispheres. Finally, responders showed significantly smaller FA values in the left forceps major and smaller AD values in the right uncinate fasciculus compared with non-responders.

Conclusions

This is the first and largest multi-site mega-analysis to demonstrate that ECT normalizes altered WM microstructure in important brain circuits that are implicated in the pathophysiology of depression. Furthermore, responders appear to present a more decreased WM integrity at baseline, which if replicated could serve as a biomarker for ECT response.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.