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Unveil the Switching Deficits in Depression by the Dwelling Time in Dominant Community of Resting-State Networks

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Brain Informatics and Health (BIH 2015)

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

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Abstract

The exploration of the dynamics of intrinsic activity has been documented and some breakthrough reports emerge in healthy volunteer. However, the dynamic research on the depression remains unclear. This study was to investigate dynamic anomaly of the resting-state networks (RSNs) in depression. Forty-seven RSNs were extracted from Resting-state functional magnetic resonance imaging data of the 40 depressed patients and 40 matched healthy controls. The dynamic functional connectivities were calculated for constructing multislice networks, whose modular structures were detected by the multislice community detection method. The dwelling time in the dominant community with significant difference distributed in the posterior cingulated cortex (PCC), middle cingulated cortex (MCC), insula, thalamus, and middle temporal gyrus networks. The PCC network with increased dwelling time, together with the MCC and insula networks with decreased dwelling time, were associated with the imbalance between the internal-directed and external-directed behavior, indicating the switching deficits in the depressed patients.

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Authors and Affiliations

  1. Key Laboratory of Child Development and Learning Science, Research Center of Learning Science, Southeast University, 2 Sipailou, Nanjing, 210096, China

    Maobin Wei, Jiaolong Qin, Kun Bi, Chu Liu & Qing Lu

  2. Academic Department of Psychiatry, Nanjing Brain Hospital, Nanjing Medical University, 249 Guangzhou Road, Nanjing, 210029, China

    Rui Yan & Zhijian Yao

  3. China Medical School, Nanjing University, 22 Hankou Road, Nanjing, 210093, China

    Zhijian Yao

  4. Suzhou Research Institute of Southeast University, 399 Linquan Street, Suzhou, 215123, China

    Qing Lu

Authors
  1. Maobin Wei
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  2. Jiaolong Qin
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  3. Rui Yan
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  4. Kun Bi
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  5. Chu Liu
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  6. Zhijian Yao
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  7. Qing Lu
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Corresponding author

Correspondence to Qing Lu .

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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Wei, M. et al. (2015). Unveil the Switching Deficits in Depression by the Dwelling Time in Dominant Community of Resting-State Networks. 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_31

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_31

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  • 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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