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International Conference on Brain Informatics and Health

BIH 2015: Brain Informatics and Health pp 33–42Cite as

Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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 fronto-parietal 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.

Y. Yang and C. Hu—These authors contributed equally to this work.

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Author information

Authors and Affiliations

  1. Maebashi Institute of Technology, Maebashi, Japan

    Yang Yang, Kazuyuki Imamura & Ning Zhong

  2. International WIC Institute, Beijing University of Technology, Beijing, China

    Xiaojing Yang, Huaizhou Li, Shengfu Lu & Ning Zhong

  3. Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China

    Yang Yang, Xiaojing Yang, Huaizhou Li, Shengfu Lu & Ning Zhong

  4. Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China

    Yang Yang, Xiaojing Yang, Huaizhou Li, Shengfu Lu & Ning Zhong

  5. Mood Disorders Center, Beijing Anding Hospital, Capital Medical University, Beijing, China

    Changqing Hu, Gang Wang & Lei Feng

  6. China Clinical Research Center for Mental Disorders, Beijing, China

    Changqing Hu, Gang Wang & Lei Feng

  7. Ubiquitous Awareness and Intelligent Solutions Lab, Lanzhou University, Lanzhou, China

    Bin Hu

Authors
  1. Yang Yang
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  2. Changqing Hu
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  3. Kazuyuki Imamura
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  4. Xiaojing Yang
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  5. Huaizhou Li
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  6. Gang Wang
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  7. Lei Feng
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  8. Bin Hu
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  9. Shengfu Lu
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  10. Ning Zhong
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Corresponding author

Correspondence to Ning Zhong .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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Yang, Y. et al. (2015). Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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