Dataset Information

Disrupted intrinsic functional brain topology in patients with major depressive disorder.

ABSTRACT: Aberrant topological organization of whole-brain networks has been inconsistently reported in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data sample of MDD patients from the REST-meta-MDD Project, including 821 MDD patients and 765 normal controls (NCs) from 16 sites. Using the Dosenbach 160 node atlas, we examined whole-brain functional networks and extracted topological features (e.g., global and local efficiency, nodal efficiency, and degree) using graph theory-based methods. Linear mixed-effect models were used for group comparisons to control for site variability; robustness of results was confirmed (e.g., multiple topological parameters, different node definitions, and several head motion control strategies were applied). We found decreased global and local efficiency in patients with MDD compared to NCs. At the nodal level, patients with MDD were characterized by decreased nodal degrees in the somatomotor network (SMN), dorsal attention network (DAN) and visual network (VN) and decreased nodal efficiency in the default mode network (DMN), SMN, DAN, and VN. These topological differences were mostly driven by recurrent MDD patients, rather than first-episode drug naive (FEDN) patients with MDD. In this highly powered multisite study, we observed disrupted topological architecture of functional brain networks in MDD, suggesting both locally and globally decreased efficiency in brain networks.

SUBMITTER: Yang H

PROVIDER: S-EPMC8873016 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Disrupted intrinsic functional brain topology in patients with major depressive disorder.

Yang Hong H Chen Xiao X Chen Zuo-Bing ZB Li Le L Li Xue-Ying XY Castellanos Francisco Xavier FX Bai Tong-Jian TJ Bo Qi-Jing QJ Cao Jun J Chang Zhi-Kai ZK Chen Guan-Mao GM Chen Ning-Xuan NX Chen Wei W Cheng Chang C Cheng Yu-Qi YQ Cui Xi-Long XL Duan Jia J Fang Yiru Y Gong Qi-Yong QY Guo Wen-Bin WB Hou Zheng-Hua ZH Hu Lan L Kuang Li L Li Feng F Li Hui-Xian HX Li Kai-Ming KM Li Tao T Liu Yan-Song YS Liu Zhe-Ning ZN Long Yi-Cheng YC Lu Bin B Luo Qing-Hua QH Meng Hua-Qing HQ Peng Daihui D Qiu Hai-Tang HT Qiu Jiang J Shen Yue-Di YD Shi Yu-Shu YS Si Tian-Mei TM Tang Yan-Qing YQ Wang Chuan-Yue CY Wang Fei F Wang Kai K Wang Li L Wang Xiang X Wang Ying Y Wang Yu-Wei YW Wu Xiao-Ping XP Wu Xin-Ran XR Xie Chun-Ming CM Xie Guang-Rong GR Xie Hai-Yan HY Xie Peng P Xu Xiu-Feng XF Yang Jian J Yao Jia-Shu JS Yao Shu-Qiao SQ Yin Ying-Ying YY Yuan Yong-Gui YG Zang Yu-Feng YF Zhang Ai-Xia AX Zhang Hong H Zhang Ke-Rang KR Zhang Lei L Zhang Zhi-Jun ZJ Zhao Jing-Ping JP Zhou Rubai R Zhou Yi-Ting YT Zhu Jun-Juan JJ Zhu Zhi-Chen ZC Zou Chao-Jie CJ Zuo Xi-Nian XN Yan Chao-Gan CG

Molecular psychiatry 20210812 12

Aberrant topological organization of whole-brain networks has been inconsistently reported in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data sample of MDD patients from the REST-meta-MDD Project, including 821 MDD patients and 765 normal controls (NCs) from 16 sites. Using the Dosenbach 160 node atlas, we examined whole-brain functional networks and extracted topological features (e.g., global and local eff ...[more]

PMID: 34385597

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Project description:Sleep disturbances, especially poor quality of sleep (QoS), are common among essential tremor (ET) patients and may have adverse effects on their quality of life, but the etiology driving the poor QoS in these individuals remains inadequately understood. Few data are available on the neuroimaging alterations of ET with poor QoS. Thirty-eight ET patients with poor QoS (SleET), 48 ET patients with normal QoS (NorET), and 80 healthy controls (HCs) participated in this study. All subjects underwent a 3.0-T magnetic resonance imaging (MRI) scan for resting-state functional MRI data collection. Then, the whole-brain functional connectome was constructed by thresholding the partial correlation matrices of 116 brain regions. Graph theory and network-based statistical analyses were performed. We used a non-parametric permutation test for group comparisons of topological metrics. Partial correlation analyses between the topographical features and clinical characteristics were conducted. The SleET and NorET groups exhibited decreased clustering coefficients, global efficiency, and local efficiency and increased the characteristic path length. Both of these groups also showed reduced nodal degree and nodal efficiency in the left superior dorsolateral frontal gyrus, superior frontal medial gyrus (SFGmed), posterior cingulate gyrus (PCG), lingual gyrus, superior occipital gyrus, right middle occipital gyrus, and right fusiform gyrus. The SleET group additionally presented reduced nodal degrees and nodal efficiency in the right SFGmed relative to the NorET and HC groups, and nodal efficiency in the right SFGmed was negatively correlated with the Pittsburgh Sleep Quality Index score. The observed impaired topographical organizations of functional brain networks within the central executive network (CEN), default mode network (DMN), and visual network serve to further our knowledge of the complex interactions between tremor and sleep, adding to our understanding of the underlying neural mechanisms of ET with poor QoS.

Dataset Information

Disrupted intrinsic functional brain topology in patients with major depressive disorder.

Publications

Disrupted intrinsic functional brain topology in patients with major depressive disorder.

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