<p>Hemispheric lateralization, recognized as a pivotal feature in both the structural and functional organization of the human brain, may undergo alterations in specific psychiatric disorders. However, the time-varying patterns of hemispheric lateralization in individuals with major depressive disorder (MDD) and the relationship between these patterns and gene expression profiles remain largely unexplored thus far. Using a large multi-site resting-state functional magnetic resonance imaging (rs-fMRI) data encompassing 2611 participants (1660 MDD patients and 1341 healthy controls), we examined MDD-related abnormalities in dynamic laterality and its association with clinical symptoms, meta-analytic cognitive functions, and neurotransmitter receptor profiles, respectively. And the biological basis behind these changes was investigated through gene enrichment analysis and cell-specific analysis. Here we found revealed pronounced fluctuations in lateralization primarily in the regions in default mode network, attention network and control network in MDD patients when compared to healthy controls. In addition, these fluctuations exhibited significant correlations with higher-order cognition terms and the distributions of disease related neurotransmitters. Further, through gene enrichment and cell-specific analysis, we identified a molecular genetic basis for these changes, highlighting synaptic function-related genes and neuronal cells. Collectively, these results demonstrated robust altered brain lateralization patterns in MDD and its molecular genetic basis, providing new clues to understand the pathophysiology of MDD.</p>

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Dynamic changes in hemispheric lateralization in major depressive disorder correlate with neurotransmitter and genetic profiles: a DIRECT consortium study

  • Liang-Liang Ping,
  • Duo Sun,
  • Shan Sun,
  • Meng-Xin He,
  • Cong Zhou,
  • Zhao-Song Chu,
  • Zong-Lin Shen,
  • Xiu-Feng Xu,
  • Xiao Chen,
  • Chao-Gan Yan,
  • Bin Lu,
  • Yu-Wei Wang,
  • Xue-Ying Li,
  • Zi-Han Wang,
  • Hui-Xian Li,
  • Yi-Fan Liao,
  • Zi-Jing Zhang,
  • Zhao-Yu Deng,
  • Shi-Xian Cui,
  • Zheng-Jia-Yi Hu,
  • Tao Lian,
  • Li-Ping Cao,
  • Jian-Shan Chen,
  • Ying Wang,
  • Guan-Mao Chen,
  • Hong Yang,
  • Tao Chen,
  • Qi-Yong Gong,
  • Tao-Lin Chen,
  • Wen-Bin Guo,
  • Jing-Ping Zhao,
  • Xiao-Xiao Shan,
  • Zhe-Ning Liu,
  • Yi-Cheng Long,
  • Guang-Rong Xie,
  • Xi-Long Cui,
  • Chun-Ming Xie,
  • Can-Can He,
  • Li Kuang,
  • Qian Huang,
  • Yan-Song Liu,
  • Feng-Nan Jia,
  • Bao-Juan Li,
  • Hua-Ning Wang,
  • Chuan-Yue Wang,
  • Feng Li,
  • Hua Yu,
  • Yong-Gui Yuan,
  • Xiao-Yun Liu,
  • Jian-Ping Lu,
  • Zhen-Peng Xue,
  • Jiang Qiu,
  • Xin-Ran Wu,
  • Tian-Mei Si,
  • Yan-Kun Wu,
  • Xiao-Ping Wu,
  • Jian Yang,
  • Peng Xie,
  • Peng-Feng Sun,
  • Yong-Qiang Yu,
  • Jia-Jia Zhu,
  • Wei Zhang,
  • Min-Lan Yuan,
  • Ke-Rang Zhang,
  • Ai-Xia Zhang,
  • Xiang Wang,
  • Xin-Lei Ji,
  • Wei Chen,
  • Yi-Ru Fang,
  • Qing-Hua Luo,
  • Hua-Qing Meng,
  • Dai-Hui Peng,
  • Yue-Di Shen,
  • Yan-Qing Tang,
  • Fei Wang,
  • Kai Wang,
  • Xiang Wang,
  • Shu-Qiao Yao,
  • Zhi-Jun Zhang,
  • Jun-Juan Zhu,
  • Xi-Nian Zuo,
  • Yu-Feng Zang,
  • Tao Li,
  • Yu-Qi Cheng,
  • Jian Xu

摘要

Hemispheric lateralization, recognized as a pivotal feature in both the structural and functional organization of the human brain, may undergo alterations in specific psychiatric disorders. However, the time-varying patterns of hemispheric lateralization in individuals with major depressive disorder (MDD) and the relationship between these patterns and gene expression profiles remain largely unexplored thus far. Using a large multi-site resting-state functional magnetic resonance imaging (rs-fMRI) data encompassing 2611 participants (1660 MDD patients and 1341 healthy controls), we examined MDD-related abnormalities in dynamic laterality and its association with clinical symptoms, meta-analytic cognitive functions, and neurotransmitter receptor profiles, respectively. And the biological basis behind these changes was investigated through gene enrichment analysis and cell-specific analysis. Here we found revealed pronounced fluctuations in lateralization primarily in the regions in default mode network, attention network and control network in MDD patients when compared to healthy controls. In addition, these fluctuations exhibited significant correlations with higher-order cognition terms and the distributions of disease related neurotransmitters. Further, through gene enrichment and cell-specific analysis, we identified a molecular genetic basis for these changes, highlighting synaptic function-related genes and neuronal cells. Collectively, these results demonstrated robust altered brain lateralization patterns in MDD and its molecular genetic basis, providing new clues to understand the pathophysiology of MDD.