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  Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy

Gyger, L., Ramponi, C., Mall, J., Swierkosz-Lenart, K., Stoyanov, D., Lutti, A., et al. (2021). Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy. NeuroImage, 232: 117895. doi:10.1016/j.neuroimage.2021.117895.

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 Creators:
Gyger, L.1, 2, Author
Ramponi, C.2, Author
Mall, J.F.3, Author
Swierkosz-Lenart, K.3, Author
Stoyanov, D.4, Author
Lutti, A.2, Author
von Gunten, A.3, Author
Kherif, F.2, Author
Draganski, Bogdan2, 5, Author              
Affiliations:
1Laboratory of Psychology and Neurocognition, Université Grenoble Alpes, France, ou_persistent22              
2Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Department of Psychiatry, University of Lausanne, Switzerland, ou_persistent22              
4Department of Psychiatry and Medical Psychology, Medical University Plovdiv, Bulgaria, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Longitudinal MRI; Electroconvulsive therapy; Voxel-based morphometry; Voxel-based quantification; Major depression; Hippocampus
 Abstract: Background After more than eight decades of electroconvulsive therapy (ECT) for pharmaco-resistant depression, the mechanisms governing its anti-depressant effects remain poorly understood. Computational anatomy studies using longitudinal T1-weighted magnetic resonance imaging (MRI) data have demonstrated ECT effects on hippocampus volume and cortical thickness, but they lack the interpretational specificity about underlying neurobiological processes. Methods We sought to fill in the gap of knowledge by acquiring quantitative MRI indicative for brain's myelin, iron and tissue water content at multiple time-points before, during and after ECT treatment. We adapted established tools for longitudinal spatial registration of MRI data to the relaxometry-based multi-parameter maps aiming to preserve the initial total signal amount and introduced a dedicated multivariate analytical framework. Results The whole-brain voxel-based analysis based on a multivariate general linear model showed that there is no brain tissue oedema contributing to the predicted ECT-induced hippocampus volume increase neither in the short, nor in the long-term observations. Improvements in depression symptom severity over time were associated with changes in both volume estimates and brain tissue properties expanding beyond mesial temporal lobe structures to anterior cingulate cortex, precuneus and striatum. Conclusion The obtained results stemming from multi-contrast MRI quantitative data provided a fingerprint of ECT-induced brain tissue changes over time that are contrasted against the background of established morphometry findings. The introduced data processing and statistical testing algorithms provided a reliable analytical framework for longitudinal multi-parameter brain maps. The results, particularly the evidence of lack of ECT impact on brain tissue water, should be considered preliminary considering the small sample size of the study.

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Language(s): eng - English
 Dates: 2020-12-312020-10-282021-02-162021-02-192021-05-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2021.117895
Other: epub 2021
PMID: 33617994
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Grant ID : 32003B_135679, 32003B_159780, 324730_192755 and CRSK-3_190185
Funding program : -
Funding organization : Swiss National Science Foundation
Project name : Horizon 2020
Grant ID : 720270
Funding program : -
Funding organization : European Union

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 232 Sequence Number: 117895 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166