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

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 sough...

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Autores principales: Belge, J.-B., Mulders, P., Van Diermen, L., Dols, A., Oudega, M., Tendolkar, I., Van Eijndhoven, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565168/
http://dx.doi.org/10.1192/j.eurpsy.2022.237
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author Belge, J.-B.
Mulders, P.
Van Diermen, L.
Dols, A.
Oudega, M.
Tendolkar, I.
Van Eijndhoven, P.
author_facet Belge, J.-B.
Mulders, P.
Van Diermen, L.
Dols, A.
Oudega, M.
Tendolkar, I.
Van Eijndhoven, P.
author_sort Belge, J.-B.
collection PubMed
description 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.
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spelling pubmed-95651682022-10-17 White matter changes following electroconvulsive therapy for depression: a mega-analysis Belge, J.-B. Mulders, P. Van Diermen, L. Dols, A. Oudega, M. Tendolkar, I. Van Eijndhoven, P. Eur Psychiatry Abstract 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. Cambridge University Press 2022-09-01 /pmc/articles/PMC9565168/ http://dx.doi.org/10.1192/j.eurpsy.2022.237 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Abstract
Belge, J.-B.
Mulders, P.
Van Diermen, L.
Dols, A.
Oudega, M.
Tendolkar, I.
Van Eijndhoven, P.
White matter changes following electroconvulsive therapy for depression: a mega-analysis
title White matter changes following electroconvulsive therapy for depression: a mega-analysis
title_full White matter changes following electroconvulsive therapy for depression: a mega-analysis
title_fullStr White matter changes following electroconvulsive therapy for depression: a mega-analysis
title_full_unstemmed White matter changes following electroconvulsive therapy for depression: a mega-analysis
title_short White matter changes following electroconvulsive therapy for depression: a mega-analysis
title_sort white matter changes following electroconvulsive therapy for depression: a mega-analysis
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565168/
http://dx.doi.org/10.1192/j.eurpsy.2022.237
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