Morphologic and functional connectivity alterations in patients with major depressive disorder

Yang Yang, Changqing Hu, Kazuyuki Imamura, Xiaojing Yang, Huaizhou Li, Gang Wang, Lei Feng, Bin Hu, Shengfu Lu, Ning Zhong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In order to obtain a panorama of structural and functional brain abnormalities as well as the association between the anatomic and functional alterations and clinical symptoms in patients with major depressive disorder (MDD), integrated magnetic resonance imaging (MRI) measures were implemented on 21 MDD patients and 21 healthy controls, to facilitate the multimodality of voxel-based morphometry (VBM) analysis, resting-state functional connectivity analysis, and symptom rating. MDD patients showed significantly decreased gray matter volume (GMV) in the rostral part of anterior cingulate cortex (rACC), precuneus, and superior parietal lobule in the right hemisphere. By using the above morphologic deficits areas as seed regions, functional connectivity analysis revealed reduced coupling in the limbic-cortical and frontoparietal networks, respectively. Subsequent correlation analyses revealed that GMV in the rACC negatively correlated with the depressive symptom severity and anxiety level. Our findings provide evidence supporting both morphologic and functional deficits in the limbic-cortical and frontal-parietal areas in MDD patients which could account for their dysfunctions on emotional regulation and cognition. Moreover, the neural changes found in rACC could be possible state markers for evaluating effects of anti-depressive treatment and anxiety level.

Original languageEnglish
Title of host publicationBrain Informatics and Health - 8th International Conference, BIH 2015, Proceedings
EditorsYike Guo Y., Sean Hill S., Karl Friston, Hanchuan Peng, Aldo Faisal A.
PublisherSpringer Verlag
Pages33-42
Number of pages10
ISBN (Print)9783319233437
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: 30 Aug 20152 Sept 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Brain Informatics and Health, BIH 2015
Country/TerritoryUnited Kingdom
CityLondon
Period30/08/152/09/15

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