Literature DB >> 30716456

Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1,434 individuals.

Mingrui Xia1, Tianmei Si2, Xiaoyi Sun1, Qing Ma1, Bangshan Liu3, Li Wang2, Jie Meng4, Miao Chang5, Xiaoqi Huang6, Ziqi Chen6, Yanqing Tang5, Ke Xu7, Qiyong Gong6, Fei Wang5, Jiang Qiu4, Peng Xie8, Lingjiang Li9, Yong He10.   

Abstract

Resting-state functional MRI (R-fMRI) studies have demonstrated widespread alterations in brain function in patients with major depressive disorder (MDD). However, a clear and consistent conclusion regarding a repeatable pattern of MDD-relevant alterations is still limited due to the scarcity of large-sample, multisite datasets. Here, we address this issue by including a large R-fMRI dataset with 1434 participants (709 patients with MDD and 725 healthy controls) from five centers in China. Individual functional activity maps that represent very local to long-range connections are computed using the amplitude of low-frequency fluctuations, regional homogeneity and distance-related functional connectivity strength. The reproducibility analyses involve different statistical strategies, global signal regression, across-center consistency, clinical variables, and sample size. We observed significant hypoactivity in the orbitofrontal, sensorimotor, and visual cortices and hyperactivity in the frontoparietal cortices in MDD patients compared to the controls. These alterations are not affected by different statistical analysis strategies, global signal regression and medication status and are generally reproducible across centers. However, these between-group differences are partially influenced by the episode status and the age of disease onset in patients, and the brain-clinical variable relationship exhibits poor cross-center reproducibility. Bootstrap analyses reveal that at least 400 subjects in each group are required to replicate significant alterations (an extent threshold of P < .05 and a height threshold of P < .001) at 50% reproducibility. Together, these results highlight reproducible patterns of functional alterations in MDD and relevant influencing factors, which provides crucial guidance for future neuroimaging studies of this disorder.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ALFF; Brain network; Connectome; Depression; Psychoradiology; ReHo; Reliability

Mesh:

Year:  2019        PMID: 30716456     DOI: 10.1016/j.neuroimage.2019.01.074

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Patterns of co-altered brain structure and function underlying neurological soft signs in schizophrenia spectrum disorders.

Authors:  Dusan Hirjak; Mahmoud Rashidi; Stefan Fritze; Alina L Bertolino; Lena S Geiger; Zhenxiang Zang; Katharina M Kubera; Mike M Schmitgen; Fabio Sambataro; Vince D Calhoun; Matthias Weisbrod; Heike Tost; Robert C Wolf
Journal:  Hum Brain Mapp       Date:  2019-08-12       Impact factor: 5.038

2.  Identifying functional brain abnormalities in migraine and depression comorbidity.

Authors:  Ying Yang; Kai Wei; Hongchun Zhang; Hongyun Hu; Li Yan; Wei Gui; Ying Liu; Xin Chen
Journal:  Quant Imaging Med Surg       Date:  2022-04

Review 3.  Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review.

Authors:  Ilya Demchenko; Vanessa K Tassone; Sidney H Kennedy; Katharine Dunlop; Venkat Bhat
Journal:  Front Psychiatry       Date:  2022-05-26       Impact factor: 5.435

4.  Changes in the amplitude of low-frequency fluctuations in specific frequency bands in major depressive disorder after electroconvulsive therapy.

Authors:  Xin-Ke Li; Hai-Tang Qiu; Jia Hu; Qing-Hua Luo
Journal:  World J Psychiatry       Date:  2022-05-19

5.  Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study.

Authors:  Tiffany C Ho; Rutvik Shah; Jyoti Mishra; April C May; Susan F Tapert
Journal:  J Child Psychol Psychiatry       Date:  2022-03-21       Impact factor: 8.265

6.  Neuroimaging adolescents with depression in a middle-income country: feasibility of an fMRI protocol and preliminary results.

Authors:  Lucas Battel; Johnna Swartz; Mauricio Anes; Pedro H Manfro; Luis A Rohde; Anna Viduani; Valeria Mondelli; Christian Kieling
Journal:  Braz J Psychiatry       Date:  2020 Jan-Feb       Impact factor: 2.697

7.  Structural brain measures linked to clinical phenotypes in major depression replicate across clinical centres.

Authors:  Meichen Yu; Nicholas Cullen; Kristin A Linn; Desmond J Oathes; Darsol Seok; Philip A Cook; Romain Duprat; Irem Aselcioglu; Tyler M Moore; Christos Davatzikos; Maria A Oquendo; Myrna M Weissman; Russell T Shinohara; Yvette I Sheline
Journal:  Mol Psychiatry       Date:  2021-02-15       Impact factor: 13.437

8.  Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes.

Authors:  Mingrui Xia; Jin Liu; Andrea Mechelli; Xiaoyi Sun; Qing Ma; Xiaoqin Wang; Dongtao Wei; Yuan Chen; Bangshan Liu; Chu-Chung Huang; Yanting Zheng; Yankun Wu; Taolin Chen; Yuqi Cheng; Xiufeng Xu; Qiyong Gong; Tianmei Si; Shijun Qiu; Ching-Po Lin; Jingliang Cheng; Yanqing Tang; Fei Wang; Jiang Qiu; Peng Xie; Lingjiang Li; Yong He
Journal:  Mol Psychiatry       Date:  2022-03-25       Impact factor: 13.437

9.  Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease.

Authors:  Dan Jin; Bo Zhou; Ying Han; Jiaji Ren; Tong Han; Bing Liu; Jie Lu; Chengyuan Song; Pan Wang; Dawei Wang; Jian Xu; Zhengyi Yang; Hongxiang Yao; Chunshui Yu; Kun Zhao; Max Wintermark; Nianming Zuo; Xinqing Zhang; Yuying Zhou; Xi Zhang; Tianzi Jiang; Qing Wang; Yong Liu
Journal:  Adv Sci (Weinh)       Date:  2020-06-09       Impact factor: 16.806

10.  Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.

Authors:  Du Lei; Walter H L Pinaya; Jonathan Young; Therese van Amelsvoort; Machteld Marcelis; Gary Donohoe; David O Mothersill; Aiden Corvin; Sandra Vieira; Xiaoqi Huang; Su Lui; Cristina Scarpazza; Celso Arango; Ed Bullmore; Qiyong Gong; Philip McGuire; Andrea Mechelli
Journal:  Hum Brain Mapp       Date:  2019-11-18       Impact factor: 5.399

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