The metastable human brain associated with autistic-like traits
The metastable human brain associated with autistic-like traits
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亚稳态人类大脑与自闭症样特征相关
DOI：
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
K. Kitajo
中科院分区：
文献类型：
--
作者：
Takumi Sase;K. Kitajo
最近的研究表明，休息的大脑利用亚稳态，使大规模的网络可以自发地产生过渡动力学在整个剧目的振荡状态。通过分析静息态脑电图信号和从健康人获得的自闭症谱系商，我们展示了自闭症样特征如何与亚稳态人脑相关的实验证据。所观察到的宏观脑信号表现出缓慢和快速振荡形成相位振幅耦合（PAC）与动态变化的调制强度，导致振荡状态的特点是不同的PAC强度。在个人的能力，以保持一个强大的重点关注的细节和注意力切换较少，这些短暂的PAC动态往往停留在一个国家的时间较长，访问的国家数量较少，并在一个较高的频率振荡比个人的注意广度较低。我们进一步表明，吸引子潜在的瞬态PAC可能是多个环面和一致的个人，有证据表明，PAC强度的动态变化可以归因于相-相耦合的强度变化，即动态功能连接在电生理意义上。我们的研究结果表明，亚稳态的人类大脑可以动态地组织自发事件，并有选择地在一个层次结构的宏观振荡与多个时间尺度，这种动态组织可能编码一系列的个人特征，涵盖典型和非典型的发展。大脑中的亚稳定性被认为是一种机制，涉及大规模网络振荡状态之间的自发转换。我们通过分析从健康人获得的静息态脑电图信号和自闭症谱系商分数，展示了自闭症样特征如何与亚稳态人脑相关的实验证据。我们发现，缓慢和快速的神经振荡可以形成相位振幅耦合与动态变化的调制强度，这些瞬态动力学可以依赖于保持注意力的细节和切换注意力的能力。这些结果表明，亚稳态的人类大脑可以通过实现多个时间尺度的宏观振荡层次结构中的自发事件的动态组织来编码一系列个体特征。
Recent studies suggest that the resting brain utilizes metastability such that the large-scale network can spontaneously yield transition dynamics across a repertoire of oscillatory states. By analyzing resting-state electroencephalographic signals and the autism-spectrum quotient acquired from healthy humans, we show experimental evidence of how autistic-like traits may be associated with the metastable human brain. Observed macroscopic brain signals exhibited slow and fast oscillations forming phase-amplitude coupling (PAC) with dynamically changing modulation strengths, resulting in oscillatory states characterized by different PAC strengths. In individuals with the ability to maintain a strong focus of attention to detail and less attention switching, these transient PAC dynamics tended to stay in a state for a longer time, to visit a lower number of states, and to oscillate at a higher frequency than in individuals with a lower attention span. We further show that attractors underlying the transient PAC could be multiple tori and consistent across individuals, with evidence that the dynamic changes in PAC strength can be attributed to changes in the strength of phase-phase coupling, that is, to dynamic functional connectivity in an electrophysiological sense. Our findings suggest that the metastable human brain can organize spontaneous events dynamically and selectively in a hierarchy of macroscopic oscillations with multiple timescales, and that such dynamic organization might encode a spectrum of individual traits covering typical and atypical development. Significance Statement Metastability in the brain is thought to be a mechanism involving spontaneous transitions among oscillatory states of the large-scale network. We show experimental evidence of how autistic-like traits may be associated with the metastable human brain by analyzing resting-state electroencephalographic signals and scores for the autism-spectrum quotient acquired from healthy humans. We found that slow and fast neural oscillations can form phase-amplitude coupling with dynamically changing modulation strengths, and that these transient dynamics can depend on the ability to maintain attention to detail and to switch attention. These results suggest that the metastable human brain can encode a spectrum of individual traits by realizing the dynamic organization of spontaneous events in a hierarchy of macroscopic oscillations with multiple timescales.
影响因子：
25
作者：
Palmigiano, Agostina;Geisel, Theo;Battaglia, Demian
通讯作者：
Battaglia, Demian
影响因子：
16.2
作者：
Hipp, Joerg F.;Engel, Andreas K.;Siegel, Markus
通讯作者：
Siegel, Markus