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Transcriptomic decoding of regional cortical vulnerability to major depressive disorder.


ABSTRACT: Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls. Combined with the Allen Human Brain Atlas, we then adopted transcription-neuroimaging spatial correlation and the newly developed ensemble-based gene category enrichment analysis to identify gene categories with expression related to cortical changes in MDD. Results showed that patients had relatively circumscribed impairments in local functional properties and broadly distributed disruptions in global functional connectivity, consistently characterized by hyper-function in associative areas and hypo-function in primary regions. Moreover, the local functional alterations were correlated with genes enriched for biological functions related to MDD in general (e.g., endoplasmic reticulum stress, mitogen-activated protein kinase, histone acetylation, and DNA methylation); and the global functional connectivity changes were associated with not only MDD-general, but also brain-relevant genes (e.g., neuron, synapse, axon, glial cell, and neurotransmitters). Our findings may provide important insights into the transcriptomic signatures of regional cortical vulnerability to MDD.

SUBMITTER: Zhu J 

PROVIDER: S-EPMC11310478 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Transcriptomic decoding of regional cortical vulnerability to major depressive disorder.

Zhu Jiajia J   Chen Xiao X   Lu Bin B   Li Xue-Ying XY   Wang Zi-Han ZH   Cao Li-Ping LP   Chen Guan-Mao GM   Chen Jian-Shan JS   Chen Tao T   Chen Tao-Lin TL   Cheng Yu-Qi YQ   Chu Zhao-Song ZS   Cui Shi-Xian SX   Cui Xi-Long XL   Deng Zhao-Yu ZY   Gong Qi-Yong QY   Guo Wen-Bin WB   He Can-Can CC   Hu Zheng-Jia-Yi ZJ   Huang Qian Q   Ji Xin-Lei XL   Jia Feng-Nan FN   Kuang Li L   Li Bao-Juan BJ   Li Feng F   Li Hui-Xian HX   Li Tao T   Lian Tao T   Liao Yi-Fan YF   Liu Xiao-Yun XY   Liu Yan-Song YS   Liu Zhe-Ning ZN   Long Yi-Cheng YC   Lu Jian-Ping JP   Qiu Jiang J   Shan Xiao-Xiao XX   Si Tian-Mei TM   Sun Peng-Feng PF   Wang Chuan-Yue CY   Wang Hua-Ning HN   Wang Xiang X   Wang Ying Y   Wang Yu-Wei YW   Wu Xiao-Ping XP   Wu Xin-Ran XR   Wu Yan-Kun YK   Xie Chun-Ming CM   Xie Guang-Rong GR   Xie Peng P   Xu Xiu-Feng XF   Xue Zhen-Peng ZP   Yang Hong H   Yu Hua H   Yuan Min-Lan ML   Yuan Yong-Gui YG   Zhang Ai-Xia AX   Zhao Jing-Ping JP   Zhang Ke-Rang KR   Zhang Wei W   Zhang Zi-Jing ZJ   Yan Chao-Gan CG   Yu Yongqiang Y  

Communications biology 20240808 1


Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls. Combined with the Allen Human Brain Atlas, we then adopted t  ...[more]

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