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Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in major depressive disorder.

Authors
  • Jiang, Haiteng1
  • Tian, Shui2
  • Bi, Kun2
  • Lu, Qing3
  • Yao, Zhijian4
  • 1 Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing 210029, China. , (China)
  • 2 School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, NanJing 210096, China. , (China)
  • 3 School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, NanJing 210096, China. Electronic address: [email protected] , (China)
  • 4 Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing 210029, China; Medical College of Nanjing University, Nanjing 210093, China. Electronic address: [email protected] , (China)
Type
Published Article
Journal
Journal of affective disorders
Publication Date
Oct 01, 2019
Volume
257
Pages
74–82
Identifiers
DOI: 10.1016/j.jad.2019.06.066
PMID: 31299407
Source
Medline
Language
English
License
Unknown

Abstract

Major depressive disorder (MDD) is a system-level disorder affecting multiple functionally integrated cerebral networks. Nevertheless, their temporospatial organization and potential disturbance remain mostly unknown. The present report tested the hypothesis that deficient temporospatial network organization separates MDD and healthy controls (HC), and is linked to symptom severity of the disorder. Eyes-closed resting-state magnetoencephalographic (MEG) recordings were obtained from twenty-two MDD and twenty-two HC subjects. Beamforming source localization and functional connectivity analysis were applied to identify frequency-specific network interactions. Then, a novel virtual cortical resection approach was used to pinpoint putatively critical network controllers, accounting for aberrant cerebral connectivity patterns in MDD. We found significantly elevated frontolimbic and frontocentral connectivity mediated by gamma (30-48 Hz) activity in MDD versus HC, and the right amygdala was the key differential network controller accounting for aberrant cerebral connectivity patterns in MDD. Furthermore, this frontolimbic and frontocentral gamma-band hyper-connectivity was positively correlated with depression severity. The overall sample size was small, and we found significant effects in the deep limbic regions with resting-state MEG, the reliability of which was difficult to corroborate further. Overall, these findings support a notion that the right amygdala critically controls the exaggerated gamma-band frontolimbic and frontocentral connectivity in MDD during the resting-state condition, which potentially constitutes pre-established aberrant pathways during task processing and contributes to MDD pathology. Copyright © 2019 Elsevier B.V. All rights reserved.

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