首页|Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular-Structural-Functional Co-alterations

Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular-Structural-Functional Co-alterations

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain regions.Owing to lacking an effective approach to quantifying the covarying of structure and functional responses,how the structural-functional circuits interact and how genes encode the relationships,to deepen our knowledge of human cognition and disease,are still unclear.Here,we propose a multimodal covariance network(MCN)construction approach to capture interregional covarying of the structural skeleton and transient functional activities for a single individual.We further explored the potential association between brain-wide gene expression patterns and structural-functional covarying in individuals involved in a gambling task and individuals with major depression disorder(MDD),adopting multimodal data from a publicly available human brain transcriptomic atlas and 2 independent cohorts.MCN analysis showed a replicable cortical structural-functional fine map in healthy individuals,and the expression of cognition-and disease phenotype-related genes was found to be spatially correlated with the corresponding MCN differences.Further analysis of cell type-specific signature genes suggests that the excitatory and inhibitory neuron transcriptomic changes could account for most of the observed correlation with task-evoked MCN differences.In contrast,changes in MCN of MDD patients were enriched for biological processes related to synapse function and neuroinflammation in astrocytes,microglia,and neurons,suggesting its promising application in developing targeted therapies for MDD patients.Collectively,these findings confirmed the correlations of MCN-related differences with brain-wide gene expression patterns,which captured genetically validated structural-functional differences at the cellular level in specific cognitive processes and psychiatric patients.

Lin Jiang、Yueheng Peng、Runyang He、Qingqing Yang、Chanlin Yi、Yuqin Li、Bin Zhu、Yajing Si、Tao Zhang、Bharat B.Biswal、Dezhong Yao、Lan Xiong、Fali Li、Peng Xu

展开 >

The Clinical Hospital of Chengdu Brain Science Institute,MOE Key Lab for Neuroinformation,University of Electronic Science and Technology of China,Chengdu 611731,China

School of Life Science and Technology,Center for Information in BioMedicine,University of Electronic Science and Technology of China,Chengdu 611731,China

School of Psychology,Xinxiang Medical University,Xinxiang 453003,China

School of Science,Xihua University,Chengdu 610039,China

Department of Biomedical Engineering,New Jersey Institute of Technology,Newark,NJ,USA

School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China

Research Unit of NeuroInformation,Chinese Academy of Medical Sciences,2019RU035,Chengdu,China

Montreal Neurological Institute and Hospital,McGill University,Montreal,QC,Canada

Department of Electrical and Computer Engineering,Faculty of Science and Technology,University o

Radiation Oncology Key Laboratory of Sichuan Province,610041 Chengdu,China

Rehabilitation Center

展开 >

STI 2030-Major ProjectsSTI 2030-Major ProjectsSTI 2030-Major Projects国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金Science and Technology Development Fund,Macau SARKey Research and Development Projects of Science and Technology Department of Sichuan ProvinceScientific Research Foundation of Sichuan Provincial People's Hospital

2022ZD02085002022ZD021140002022ZD02089006210308561961160705U19A2082620061970045/2019/AFJ23ZDYF09612021LY21

2024

10.34133/research.0171

研究(英文)

研究(英文)

CSTPCD
ISSN：
年,卷(期)：2024.2024(1)
  • 78