Disrupted intrinsic functional brain topology in patients with major depressive disorder
| العنوان: | Disrupted intrinsic functional brain topology in patients with major depressive disorder |
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| المؤلفون: | Yan Qing Tang, Qiyong Gong, Hai Tang Qiu, Yu Wei Wang, Xi Long Cui, Xiang Wang, Hai Yan Xie, Zhijun Zhang, Tian-Mei Si, Xue Ying Li, Jing Ping Zhao, Yu Shu Shi, Yi-Ting Zhou, Lan Hu, Yan Song Liu, Chun Ming Xie, Kaiming Li, Ai Xia Zhang, Jiang Qiu, Bin Lu, Wei Chen, Yiru Fang, Lei Zhang, Tao Li, Xiao Ping Wu, Li Wang, Zhe Ning Liu, Hong Yang, Francisco X. Castellanos, Qi Jing Bo, Kai Wang, Jia Duan, Ru-Bai Zhou, Zheng Hua Hou, Xiu Feng Xu, Hui Xian Li, Guan Mao Chen, Chao Jie Zou, Yu Qi Cheng, Yong Gui Yuan, Xinran Wu, Hua Qing Meng, Shu Qiao Yao, Chuanyue Wang, Yu-Feng Zang, Ke Rang Zhang, Guang Rong Xie, Peng Xie, Yue di Shen, Xiao Chen, Fei Wang, Jian Yang, Yi Cheng Long, Li Kuang, Ning Xuan Chen, Tong Jian Bai, Chang Cheng, Wenbin Guo, Qing Hua Luo, Jun Juan Zhu, Ying Ying Yin, Jun Cao, Jia Shu Yao, Feng Li, Zhi Chen Zhu, Le Li, Xi-Nian Zuo, Daihui Peng, Chao-Gan Yan, Ying Wang, Zuo Bing Chen, Hong Zhang, Zhi Kai Chang |
| المصدر: | Molecular Psychiatry. 26:7363-7371 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Topology (electrical circuits), Topology, behavioral disciplines and activities, Cellular and Molecular Neuroscience, Text mining, Task-positive network, Neural Pathways, mental disorders, Humans, Medicine, Molecular Biology, Default mode network, Brain Mapping, Depressive Disorder, Major, business.industry, Node (networking), Brain, medicine.disease, Magnetic Resonance Imaging, Psychiatry and Mental health, Drug-naïve, Sample size determination, Sample Size, Major depressive disorder, business, medicine.drug |
| الوصف: | 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. |
| تدمد: | 1476-5578 1359-4184 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60713bda57d5186647eee354a7b48d51Test https://doi.org/10.1038/s41380-021-01247-2Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....60713bda57d5186647eee354a7b48d51 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14765578 13594184 |
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