Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.

<h4>Background</h4>Previous studies have found numerous brain changes in patients with major depressive disorder (MDD), but no neurological biomarker has been developed to diagnose depression or to predict responses to antidepressants. In the present study, we used multivariate pattern a...

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Autores principales:	Feng Liu, Wenbin Guo, Dengmiao Yu, Qing Gao, Keming Gao, Zhimin Xue, Handan Du, Jianwei Zhang, Changlian Tan, Zhening Liu, Jingping Zhao, Huafu Chen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b838a39d916e4c15a33a1bde6a9a766e
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spelling	oai:doaj.org-article:b838a39d916e4c15a33a1bde6a9a766e2021-11-18T07:12:13ZClassification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.1932-620310.1371/journal.pone.0040968https://doaj.org/article/b838a39d916e4c15a33a1bde6a9a766e2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22815880/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Previous studies have found numerous brain changes in patients with major depressive disorder (MDD), but no neurological biomarker has been developed to diagnose depression or to predict responses to antidepressants. In the present study, we used multivariate pattern analysis (MVPA) to classify MDD patients with different therapeutic responses and healthy controls and to explore the diagnostic and prognostic value of structural neuroimaging data of MDD.<h4>Methodology/principal findings</h4>Eighteen patients with treatment-resistant depression (TRD), 17 patients with treatment-sensitive depression (TSD) and 17 matched healthy controls were scanned using structural MRI. Voxel-based morphometry, together with a modified MVPA technique which combined searchlight algorithm and principal component analysis (PCA), was used to classify the subjects with TRD, those with TSD and healthy controls. The results revealed that both gray matter (GM) and white matter (WM) of frontal, temporal, parietal and occipital brain regions as well as cerebellum structures had a high classification power in patients with MDD. The accuracy of the GM and WM that correctly discriminated TRD patients from TSD patients was both 82.9%. Meanwhile, the accuracy of the GM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 82.4%, respectively; and the WM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 91.2%, respectively.<h4>Conclusions/significance</h4>These results suggest that structural MRI with MVPA might be a useful and reliable method to study the neuroanatomical changes to differentiate patients with MDD from healthy controls and patients with TRD from those with TSD. This method might also be useful to study potential brain regions associated with treatment response in patients with MDD.Feng LiuWenbin GuoDengmiao YuQing GaoKeming GaoZhimin XueHandan DuJianwei ZhangChanglian TanZhening LiuJingping ZhaoHuafu ChenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e40968 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Feng Liu Wenbin Guo Dengmiao Yu Qing Gao Keming Gao Zhimin Xue Handan Du Jianwei Zhang Changlian Tan Zhening Liu Jingping Zhao Huafu Chen Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
description	<h4>Background</h4>Previous studies have found numerous brain changes in patients with major depressive disorder (MDD), but no neurological biomarker has been developed to diagnose depression or to predict responses to antidepressants. In the present study, we used multivariate pattern analysis (MVPA) to classify MDD patients with different therapeutic responses and healthy controls and to explore the diagnostic and prognostic value of structural neuroimaging data of MDD.<h4>Methodology/principal findings</h4>Eighteen patients with treatment-resistant depression (TRD), 17 patients with treatment-sensitive depression (TSD) and 17 matched healthy controls were scanned using structural MRI. Voxel-based morphometry, together with a modified MVPA technique which combined searchlight algorithm and principal component analysis (PCA), was used to classify the subjects with TRD, those with TSD and healthy controls. The results revealed that both gray matter (GM) and white matter (WM) of frontal, temporal, parietal and occipital brain regions as well as cerebellum structures had a high classification power in patients with MDD. The accuracy of the GM and WM that correctly discriminated TRD patients from TSD patients was both 82.9%. Meanwhile, the accuracy of the GM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 82.4%, respectively; and the WM that correctly discriminated TRD or TSD patients from healthy controls were 85.7% and 91.2%, respectively.<h4>Conclusions/significance</h4>These results suggest that structural MRI with MVPA might be a useful and reliable method to study the neuroanatomical changes to differentiate patients with MDD from healthy controls and patients with TRD from those with TSD. This method might also be useful to study potential brain regions associated with treatment response in patients with MDD.
format	article
author	Feng Liu Wenbin Guo Dengmiao Yu Qing Gao Keming Gao Zhimin Xue Handan Du Jianwei Zhang Changlian Tan Zhening Liu Jingping Zhao Huafu Chen
author_facet	Feng Liu Wenbin Guo Dengmiao Yu Qing Gao Keming Gao Zhimin Xue Handan Du Jianwei Zhang Changlian Tan Zhening Liu Jingping Zhao Huafu Chen
author_sort	Feng Liu
title	Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
title_short	Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
title_full	Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
title_fullStr	Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
title_full_unstemmed	Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.
title_sort	classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural mr scans.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/b838a39d916e4c15a33a1bde6a9a766e
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Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.

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