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层次连接组模式和关键状态共同最大化人类大脑功能多样性。

Hierarchical Connectome Modes and Critical State Jointly Maximize Human Brain Functional Diversity.

机构信息

State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi Engineering Laboratory for Vibration Control of Aerospace Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong.

出版信息

Phys Rev Lett. 2019 Jul 19;123(3):038301. doi: 10.1103/PhysRevLett.123.038301.

Abstract

The brain requires diverse segregated and integrated processing to perform normal functions in terms of anatomical structure and self-organized dynamics with critical features, but the fundamental relationships between the complex structural connectome, critical state, and functional diversity remain unknown. Herein, we extend the eigenmode analysis to investigate the joint contribution of hierarchical modular structural organization and critical state to brain functional diversity. We show that the structural modes inherent to the hierarchical modular structural connectome allow a nested functional segregation and integration across multiple spatiotemporal scales. The real brain hierarchical modular organization provides large structural capacity for diverse functional interactions, which are generated by sequentially activating and recruiting the hierarchical connectome modes, and the critical state can best explore the capacity to maximize the functional diversity. Our results reveal structural and dynamical mechanisms that jointly support a balanced segregated and integrated brain processing with diverse functional interactions, and they also shed light on dysfunctional segregation and integration in neurodegenerative diseases and neuropsychiatric disorders.

摘要

大脑需要多样化的分隔和整合处理,以在解剖结构和自我组织动力学方面发挥正常功能,具有关键特征,但复杂的结构连接组、临界状态和功能多样性之间的基本关系仍然未知。在此,我们将特征模态分析扩展到研究分层模块化结构组织和临界状态对大脑功能多样性的联合贡献。我们表明,分层模块化结构连接组固有的结构模态允许在多个时空尺度上进行嵌套的功能分隔和整合。真实大脑的分层模块化组织为多样化的功能相互作用提供了大量的结构容量,这些相互作用是通过顺序激活和招募分层连接组模式产生的,而临界状态可以最大程度地探索功能多样性的能力。我们的研究结果揭示了共同支持具有多样化功能相互作用的平衡分隔和整合大脑处理的结构和动力学机制,并为神经退行性疾病和神经精神障碍中的功能失调分隔和整合提供了新的见解。

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