Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients
Dynamic Characteristics of Micro-state Transition Defined by Instantaneous Frequency in the Electroencephalography of Schizophrenia Patients
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精神分裂症患者脑电图瞬时频率定义的微状态转变动态特征
DOI：
10.1007/978-3-031-30108-7_3
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Tetsuya Takahashi
中科院分区：
文献类型：
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作者：
Daiya Ebina;Sou Nobukawa;Takashi Ikeda;Mitsuru Kikuchi;Tetsuya Takahashi
最近提出的动态功能连接（dFC）的方法，它侧重于在区域成对的功能连接（FC）的时空变异的程度，能够检测神经网络交替作为精神分裂症（SZ）的核心神经基础。此外，从复杂网络科学的“涌现”角度出发，强调了建立一种评价整个脑网络中神经元相互作用的方法的重要性，而不是将每一对相互作用分开。我们提出了基于全脑瞬时频率分布的微状态方法作为这些方法之一，这种方法开辟了一条新的途径，作为评估方法来检测认知功能障碍和病理。因此，我们假设，这种微状态方法的神经活动的应用程序可以检测到其他方面的脑网络的改变SZ以前阐明在传统的FC和dFC。我们应用微状态方法对SZ患者和健康对照者的脑电（EEG）信号进行分析。结果显示，在β和γ波段，额叶和枕叶区域以及左右半球区域之间的动态领先相变交替出现。这种变化提示胼胝体损伤和快带功能中枢结构异常增强是全脑功能网络的拓扑结构。因此，我们提出的微观状态的方法成功地检测状态转换交替有关SZ病理。这种方法可能有助于阐明dFC的新方面，从而导致SZ的生物标志物的发现。
Recently proposed dynamic functional connectivity (dFC) approach, which focuses on the degree of spatial-temporal variability in regional-pair-wise functional connectivity (FC), is able to detect neural network alternations as the core neural basis of schizophrenia (SZ). Moreover, from the perspective of “emergence” in complex network science, the importance of the establishment of a method to evaluate the neural interactions in the whole brain network, not separating each pair-wise interaction, is emphasized. We proposed the micro-state approach based on the whole-brain instantaneous frequency distribution as one of these methods; this approach opens a new avenue as an evaluation method to detect cognitive function impairment and pathology. Thus, we hypothesized that the application of this micro-state approach to neural activity could detect the other aspects of brain network alterations for SZ previously elucidated in conventional FC and dFC. We applied the micro-state approach to electroencephalography (EEG) signals of SZ patients and healthy controls. The results revealed the alternation of dynamical leading phase transitions between the frontal and occipital regions and right and left hemispheric regions at the beta and gamma bands. This alternation suggested the corpus callosum impairments and abnormal enhancement of functional hub structure at the fast bands as topology of whole brain functional network. Thus, our proposed micro-state approach succeeded in detecting the state transition alternations concerning SZ pathology. This approach might contribute in elucidating new aspects of dFC, thereby resulting in the discovery of a biomarker for SZ.