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The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder

Received: 22 February 2019    Accepted:     Published: 28 April 2019
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Abstract

Objective: The neuro-pathphysiological abnormalities of Major Depressive Disorder (MDD) have been reported to be distributed in emotion regulation system, involving the prefrontal cortex, limbic and subcortical nuclei[8]. Anhedonia is recognized as a hallmark of MDD. Characterizing the aberrant functional connectivity (FC) within this system and exploring the relationships between these dysconnectivity and anhedonia will help us better look into the neuro-pathophysiological mechanisms underlying MDD. Methods: Sixty-three MDD and 63 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rsfMRI). The spatial pairwise clustering (SPC) analysis and network-based statistic (NBS) were used to explore the alterations in the emotion regulation system of MDD from voxel level to network level. The alterations in FC and their relationships with anhedonia symptom were explored. Result: This study suggested that the aberrant FC subnetworks within the emotion regulation system mainly involved in prefrontal-limbic system, prefrontal-striatum system and within the limbic system. In addition, the aberrant subnetworks of prefrontal cortex/anterior cingulate cortex and amygdala/hippocampus could predict the anhedonia symptom in MDD. Conclusion: These findings demonstrated that MDD showed characteristic pathological alterations of the emotion regulation system. Moreover, the abnormal FC between the prefrontal cortex/anterior cingulate cortex and the amygdala/hippocampus might be the potential neural markers of depression-related anhedonia.

Published in Science Discovery (Volume 7, Issue 1)
DOI 10.11648/j.sd.20190701.17
Page(s) 26-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Major Depressive Disorder, Emotion Regulation System, Resting State, fMRI, Anhedonia

References
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[15] V. Gabbay, B. A. Ely, Q. Li, et al. Striatum-based circuitry of adolescent depression and anhedonia [J]. J Am Acad Child Adolesc Psychiatry, 2013, 52(6): 628-41.
[16] N. Watanabe, M. Sakagami, M. Haruno. Reward prediction error signal enhanced by striatum-amygdala interaction explains the acceleration of probabilistic reward learning by emotion [J]. J Neurosci, 2013, 33(10): 4487-93.
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    Zongling He, Fengmei Lu, Huafu Chen. (2019). The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder. Science Discovery, 7(1), 26-31. https://doi.org/10.11648/j.sd.20190701.17

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    ACS Style

    Zongling He; Fengmei Lu; Huafu Chen. The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder. Sci. Discov. 2019, 7(1), 26-31. doi: 10.11648/j.sd.20190701.17

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    AMA Style

    Zongling He, Fengmei Lu, Huafu Chen. The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder. Sci Discov. 2019;7(1):26-31. doi: 10.11648/j.sd.20190701.17

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  • @article{10.11648/j.sd.20190701.17,
      author = {Zongling He and Fengmei Lu and Huafu Chen},
      title = {The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder},
      journal = {Science Discovery},
      volume = {7},
      number = {1},
      pages = {26-31},
      doi = {10.11648/j.sd.20190701.17},
      url = {https://doi.org/10.11648/j.sd.20190701.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20190701.17},
      abstract = {Objective: The neuro-pathphysiological abnormalities of Major Depressive Disorder (MDD) have been reported to be distributed in emotion regulation system, involving the prefrontal cortex, limbic and subcortical nuclei[8]. Anhedonia is recognized as a hallmark of MDD. Characterizing the aberrant functional connectivity (FC) within this system and exploring the relationships between these dysconnectivity and anhedonia will help us better look into the neuro-pathophysiological mechanisms underlying MDD. Methods: Sixty-three MDD and 63 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rsfMRI). The spatial pairwise clustering (SPC) analysis and network-based statistic (NBS) were used to explore the alterations in the emotion regulation system of MDD from voxel level to network level. The alterations in FC and their relationships with anhedonia symptom were explored. Result: This study suggested that the aberrant FC subnetworks within the emotion regulation system mainly involved in prefrontal-limbic system, prefrontal-striatum system and within the limbic system. In addition, the aberrant subnetworks of prefrontal cortex/anterior cingulate cortex and amygdala/hippocampus could predict the anhedonia symptom in MDD. Conclusion: These findings demonstrated that MDD showed characteristic pathological alterations of the emotion regulation system. Moreover, the abnormal FC between the prefrontal cortex/anterior cingulate cortex and the amygdala/hippocampus might be the potential neural markers of depression-related anhedonia.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - The Functional Dysconnectivity Within the Emotion Regulation System Is Associated with Anhedonia in Major Depressive Disorder
    AU  - Zongling He
    AU  - Fengmei Lu
    AU  - Huafu Chen
    Y1  - 2019/04/28
    PY  - 2019
    N1  - https://doi.org/10.11648/j.sd.20190701.17
    DO  - 10.11648/j.sd.20190701.17
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 26
    EP  - 31
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20190701.17
    AB  - Objective: The neuro-pathphysiological abnormalities of Major Depressive Disorder (MDD) have been reported to be distributed in emotion regulation system, involving the prefrontal cortex, limbic and subcortical nuclei[8]. Anhedonia is recognized as a hallmark of MDD. Characterizing the aberrant functional connectivity (FC) within this system and exploring the relationships between these dysconnectivity and anhedonia will help us better look into the neuro-pathophysiological mechanisms underlying MDD. Methods: Sixty-three MDD and 63 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rsfMRI). The spatial pairwise clustering (SPC) analysis and network-based statistic (NBS) were used to explore the alterations in the emotion regulation system of MDD from voxel level to network level. The alterations in FC and their relationships with anhedonia symptom were explored. Result: This study suggested that the aberrant FC subnetworks within the emotion regulation system mainly involved in prefrontal-limbic system, prefrontal-striatum system and within the limbic system. In addition, the aberrant subnetworks of prefrontal cortex/anterior cingulate cortex and amygdala/hippocampus could predict the anhedonia symptom in MDD. Conclusion: These findings demonstrated that MDD showed characteristic pathological alterations of the emotion regulation system. Moreover, the abnormal FC between the prefrontal cortex/anterior cingulate cortex and the amygdala/hippocampus might be the potential neural markers of depression-related anhedonia.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

  • The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

  • The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Center for Information in BioMedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

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