Shi Jifan, Kirihara Kenji, Tada Mariko, Fujioka Mao, Usui Kaori, Koshiyama Daisuke, Araki Tsuyoshi, Chen Luonan, Kasai Kiyoto, Aihara Kazuyuki
International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan.
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Front Netw Physiol. 2022 Jan 18;1:755685. doi: 10.3389/fnetp.2021.755685. eCollection 2021.
The excellence of the brain is its robustness under various types of noise and its flexibility under various environments. However, how the brain works is still a mystery. The critical brain hypothesis proposes a possible mechanism and states that criticality plays an important role in the healthy brain. Herein, using an electroencephalography dataset obtained from patients with psychotic disorders (PDs), ultra-high risk (UHR) individuals and healthy controls (HCs), and its dynamical network analysis, we show that the brain of HCs remains around a critical state, whereas that of patients with PD falls into more stable states. Meanwhile, the brain of UHR individuals is similar to that of PD in terms of entropy but is analogous to that of HCs in causality patterns. These results not only provide evidence for the criticality of the normal brain but also highlight the practicability of using an analytic biophysical tool to study the dynamical properties of mental diseases.
大脑的卓越之处在于其在各种类型噪声下的稳健性以及在各种环境下的灵活性。然而,大脑如何运作仍是一个谜。临界脑假说提出了一种可能的机制,并指出临界性在健康大脑中起着重要作用。在此,我们使用从精神障碍患者(PDs)、超高风险(UHR)个体和健康对照(HCs)获得的脑电图数据集及其动态网络分析,表明HCs的大脑保持在临界状态附近,而PD患者的大脑则陷入更稳定的状态。同时,UHR个体的大脑在熵方面与PD患者的大脑相似,但在因果模式方面与HCs的大脑类似。这些结果不仅为正常大脑的临界性提供了证据,还突出了使用分析性生物物理工具研究精神疾病动态特性的实用性。