Literature DB >> 23474094

Resting-state brain activity in major depressive disorder patients and their siblings.

Chun-Hong Liu1, Xin Ma, Xia Wu, Ting-Ting Fan, Yu Zhang, Fu-Chun Zhou, Li-Jun Li, Feng Li, Chang-Le Tie, Su-Fang Li, Dan Zhang, Zhen Zhou, Jie Dong, Yong-Jun Wang, Li Yao, Chuan-Yue Wang.   

Abstract

BACKGROUND: Major depressive disorder (MDD) is a highly heritable psychiatric disease, and the existing literature is not robust enough to allow us to evaluate whether MDD-associated biomarkers are state-independent heritable endophenotypes or state markers related to depression per se.
METHODS: Twenty two patients diagnosed with MDD, 22 siblings, as well as 26 gender-, age-, and education-matched healthy subjects, participated in the resting-state functional magnetic resonance imaging (fMRI) analysis. We compared the differences in the fractional amplitude of low-frequency fluctuation (fALFF) among the three groups and investigated the correlation between clinical measurements and fALFF in the regions displaying significant group differences.
RESULTS: Both the MDD and siblings groups showed an increased fALFF in the left middle frontal gyrus (l-MFG, Brodmann Area, BA 10) compared to the healthy controls. The MDD groups demonstrated an increased fALFF in the right dorsal medial frontal gyrus (r-DMFG, BA 9) and a decreased fALFF in the bilateral lingual gyrus relative to siblings and healthy controls. LIMITATIONS: Medication effects, an inability to control subjects' thoughts during imaging.
CONCLUSIONS: Our results suggest that the dysfunction in the l-MFG may represent an imaging endophenotype which may indicate a risk for MDD. The r-DMFG may play a critical role in depressive symptomatology and may reveal therapeutic target for MDD.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23474094     DOI: 10.1016/j.jad.2013.02.002

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


  18 in total

1.  Resting-state connectivity and spontaneous activity of ventromedial prefrontal cortex predict depressive symptomology and peripheral inflammation in HIV.

Authors:  Roger C McIntosh; Robert Paul; Lishomwa C Ndhlovu; Melissa Hidalgo; Judith D Lobo; Maegen Walker; Cecilia M Shikuma; Kalpana J Kallianpur
Journal:  J Neurovirol       Date:  2018-07-18       Impact factor: 2.643

2.  Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF).

Authors:  Haitang Qiu; Xinke Li; Qinghua Luo; Yongming Li; Xichuan Zhou; Hailin Cao; Yuanhong Zhong; Mingui Sun
Journal:  J Affect Disord       Date:  2018-10-09       Impact factor: 4.839

3.  Reward Functioning Abnormalities in Adolescents at High Familial Risk for Depressive Disorders.

Authors:  Emily L Belleau; Rebecca Kremens; Yuen-Siang Ang; Angela Pisoni; Erin Bondy; Katherine Durham; Randy P Auerbach; Diego A Pizzagalli
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-09-06

4.  Resting state low-frequency fluctuations in prefrontal cortex reflect degrees of harm avoidance and novelty seeking: an exploratory NIRS study.

Authors:  Takashi Nakao; Tomoya Matsumoto; Daisuke Shimizu; Machiko Morita; Shinpei Yoshimura; Georg Northoff; Shigeru Morinobu; Yasumasa Okamoto; Shigeto Yamawaki
Journal:  Front Syst Neurosci       Date:  2013-12-17

5.  Dissociation of regional activity in default mode network in medication-naive, first-episode somatization disorder.

Authors:  Qinji Su; Dapeng Yao; Muliang Jiang; Feng Liu; Jiajing Jiang; Chunxing Xu; Yi Dai; Miaoyu Yu; Liling Long; Hongzheng Li; Jianrong Liu; Zhikun Zhang; Jian Zhang; Changqing Xiao; Wenbin Guo
Journal:  PLoS One       Date:  2014-07-01       Impact factor: 3.240

Review 6.  Neuroimaging studies of depressive disorders in China since 2000.

Authors:  Yingying Yin; Yonggui Yuan
Journal:  Shanghai Arch Psychiatry       Date:  2014-06

7.  Modulation of interhemispheric functional coordination in electroconvulsive therapy for depression.

Authors:  Q Wei; Y Tian; Y Yu; F Zhang; X Hu; Y Dong; Y Chen; P Hu; X Hu; K Wang
Journal:  Transl Psychiatry       Date:  2014-09-30       Impact factor: 6.222

8.  Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression.

Authors:  Benedikt Sundermann; Mona Olde Lütke Beverborg; Bettina Pfleiderer
Journal:  Front Hum Neurosci       Date:  2014-09-10       Impact factor: 3.169

9.  Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state FMRI.

Authors:  Min-Jie Liang; Quan Zhou; Kan-Rong Yang; Xiao-Ling Yang; Jin Fang; Wen-Li Chen; Zheng Huang
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

Review 10.  Cognitive Vulnerability to Major Depression: View from the Intrinsic Network and Cross-network Interactions.

Authors:  Xiang Wang; Dost Öngür; Randy P Auerbach; Shuqiao Yao
Journal:  Harv Rev Psychiatry       Date:  2016 May-Jun       Impact factor: 3.732

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.