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Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder

Electroconvulsive therapy (ECT) has been widely used to treat the major depressive disorder (MDD), especially for treatment-resistant depression. However, the neuroanatomical basis of ECT remains an open problem. In our study, we combined the voxel-based morphology (VBM), resting-state functional co...

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Autores principales: Wang, Jiaojian, Wei, Qiang, Bai, Tongjian, Zhou, Xiaoqin, Sun, Hui, Becker, Benjamin, Tian, Yanghua, Wang, Kai, Kendrick, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716231/
https://www.ncbi.nlm.nih.gov/pubmed/28981882
http://dx.doi.org/10.1093/scan/nsx100
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author Wang, Jiaojian
Wei, Qiang
Bai, Tongjian
Zhou, Xiaoqin
Sun, Hui
Becker, Benjamin
Tian, Yanghua
Wang, Kai
Kendrick, Keith
author_facet Wang, Jiaojian
Wei, Qiang
Bai, Tongjian
Zhou, Xiaoqin
Sun, Hui
Becker, Benjamin
Tian, Yanghua
Wang, Kai
Kendrick, Keith
author_sort Wang, Jiaojian
collection PubMed
description Electroconvulsive therapy (ECT) has been widely used to treat the major depressive disorder (MDD), especially for treatment-resistant depression. However, the neuroanatomical basis of ECT remains an open problem. In our study, we combined the voxel-based morphology (VBM), resting-state functional connectivity (RSFC) and granger causality analysis (GCA) to identify the longitudinal changes of structure and function in 23 MDD patients before and after ECT. In addition, multivariate pattern analysis using linear support vector machine (SVM) was applied to classify 23 depressed patients from 25 gender, age and education matched healthy controls. VBM analysis revealed the increased gray matter volume of left superficial amygdala after ECT. The following RSFC and GCA analyses further identified the enhanced functional connectivity between left amygdala and left fusiform face area (FFA) and effective connectivity from FFA to amygdala after ECT, respectively. Moreover, SVM-based classification achieved an accuracy of 83.33%, a sensitivity of 82.61% and a specificity of 84% by leave-one-out cross-validation. Our findings indicated that ECT may facilitate the neurogenesis of amygdala and selectively enhance the feedforward cortical–subcortical connectivity from FFA to amygdala. This study may shed new light on the pathological mechanism of MDD and may provide the neuroanatomical basis for ECT.
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spelling pubmed-57162312017-12-08 Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder Wang, Jiaojian Wei, Qiang Bai, Tongjian Zhou, Xiaoqin Sun, Hui Becker, Benjamin Tian, Yanghua Wang, Kai Kendrick, Keith Soc Cogn Affect Neurosci Original Articles Electroconvulsive therapy (ECT) has been widely used to treat the major depressive disorder (MDD), especially for treatment-resistant depression. However, the neuroanatomical basis of ECT remains an open problem. In our study, we combined the voxel-based morphology (VBM), resting-state functional connectivity (RSFC) and granger causality analysis (GCA) to identify the longitudinal changes of structure and function in 23 MDD patients before and after ECT. In addition, multivariate pattern analysis using linear support vector machine (SVM) was applied to classify 23 depressed patients from 25 gender, age and education matched healthy controls. VBM analysis revealed the increased gray matter volume of left superficial amygdala after ECT. The following RSFC and GCA analyses further identified the enhanced functional connectivity between left amygdala and left fusiform face area (FFA) and effective connectivity from FFA to amygdala after ECT, respectively. Moreover, SVM-based classification achieved an accuracy of 83.33%, a sensitivity of 82.61% and a specificity of 84% by leave-one-out cross-validation. Our findings indicated that ECT may facilitate the neurogenesis of amygdala and selectively enhance the feedforward cortical–subcortical connectivity from FFA to amygdala. This study may shed new light on the pathological mechanism of MDD and may provide the neuroanatomical basis for ECT. Oxford University Press 2017-08-28 /pmc/articles/PMC5716231/ /pubmed/28981882 http://dx.doi.org/10.1093/scan/nsx100 Text en © The Author(s) (2017). Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Wang, Jiaojian
Wei, Qiang
Bai, Tongjian
Zhou, Xiaoqin
Sun, Hui
Becker, Benjamin
Tian, Yanghua
Wang, Kai
Kendrick, Keith
Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title_full Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title_fullStr Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title_full_unstemmed Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title_short Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
title_sort electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716231/
https://www.ncbi.nlm.nih.gov/pubmed/28981882
http://dx.doi.org/10.1093/scan/nsx100
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