Literature DB >> 31299407

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

Haiteng Jiang1, Shui Tian2, Kun Bi2, Qing Lu3, Zhijian Yao4.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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. LIMITATIONS: 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.
CONCLUSIONS: 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.

Entities:  

Mesh:

Year:  2019        PMID: 31299407     DOI: 10.1016/j.jad.2019.06.066

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  5 in total

1.  Structural-functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode.

Authors:  Haiteng Jiang; Rongxin Zhu; Shui Tian; Huan Wang; Zhilu Chen; Xinyi Wang; Junneng Shao; Jiaolong Qin; Jiabo Shi; Haiyan Liu; Yu Chen; Zhijian Yao; Qing Lu
Journal:  Neuropsychopharmacology       Date:  2020-06-30       Impact factor: 7.853

2.  Spectral fingerprints of facial affect processing bias in major depression disorder.

Authors:  Haiteng Jiang; Lingling Hua; Zhongpeng Dai; Shui Tian; Zhijian Yao; Qing Lu; Tzvetan Popov
Journal:  Soc Cogn Affect Neurosci       Date:  2019-11-01       Impact factor: 3.436

3.  Discriminating Suicide Attempters and Predicting Suicide Risk Using Altered Frontolimbic Resting-State Functional Connectivity in Patients With Bipolar II Disorder.

Authors:  Rongxin Zhu; Shui Tian; Huan Wang; Haiteng Jiang; Xinyi Wang; Junneng Shao; Qiang Wang; Rui Yan; Shiwan Tao; Haiyan Liu; Zhijian Yao; Qing Lu
Journal:  Front Psychiatry       Date:  2020-11-26       Impact factor: 4.157

4.  Thalamocortical functional connectivity in patients with insomnia using resting-state fMRI.

Authors:  Nambeom Kim; Eunsoo Won; Seo-Eun Cho; Chang-Ki Kang; Seung-Gul Kang
Journal:  J Psychiatry Neurosci       Date:  2021-11-23       Impact factor: 6.186

5.  Multilayer MEG functional connectivity as a potential marker for suicidal thoughts in major depressive disorder.

Authors:  Allison C Nugent; Elizabeth D Ballard; Jessica R Gilbert; Prejaas K Tewarie; Matthew J Brookes; Carlos A Zarate
Journal:  Neuroimage Clin       Date:  2020-08-08       Impact factor: 4.881

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.