Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Swartz Center for Neural Computation, University of California San Diego, La Jolla, CA, USA.
Schizophr Res. 2021 May;231:73-81. doi: 10.1016/j.schres.2021.03.007. Epub 2021 Mar 27.
Schizophrenia patients have abnormal electroencephalographic (EEG) power over multiple frequency bands, even at rest, though the primary neural generators and spatiotemporal dynamics of these abnormalities are largely unknown. Disturbances in the precise synchronization of oscillations within and across cortical sources may underlie abnormal resting-state EEG activity in schizophrenia patients.
A novel assessment method was applied to identify the independent contributing sources of resting-state EEG and assess the phase discontinuity in schizophrenia patients (N = 148) and healthy subjects (N = 143).
A network of 11 primary contributing sources of scalp EEG was identified in both groups. Schizophrenia patients showed abnormal elevations of EEG power in the temporal region in the theta, beta, and gamma-bands, as well as the posterior cingulate gyrus in the delta, theta, alpha, and beta-bands. The higher theta-band power in the middle temporal gyrus was significantly correlated with verbal memory impairment in patients. The peak frequency of alpha was lower in patients in the cingulate and temporal regions. Furthermore, patients showed a higher rate of alpha phase discontinuity in the temporal region as well as a lower rate of theta phase discontinuity in the temporal and posterior cingulate regions.
Abnormal rates of phase discontinuity of alpha- and theta-band, abnormal elevations of EEG power in multiple bands, and a lower peak frequency of alpha were identified in schizophrenia patients at rest. Clarification of the mechanistic substrates of abnormal phase discontinuity may clarify core pathophysiologic abnormalities of schizophrenia and contribute to the development of novel biomarkers for therapeutic interventions.
精神分裂症患者在多个频段的脑电图（EEG）功率异常，即使在休息时也是如此，尽管这些异常的主要神经发生器和时空动力学在很大程度上尚不清楚。皮质源内和皮质源间振荡的精确同步紊乱可能是精神分裂症患者静息状态 EEG 活动异常的基础。
应用一种新的评估方法来确定静息状态 EEG 的独立贡献源，并评估精神分裂症患者（N=148）和健康受试者（N=143）的相位不连续性。
在两组中均确定了头皮 EEG 的 11 个主要贡献源网络。精神分裂症患者在 theta、beta 和 gamma 频段的颞区以及 delta、theta、alpha 和 beta 频段的后扣带回区出现 EEG 功率异常升高。中颞叶的较高 theta 频段功率与患者的言语记忆障碍显著相关。扣带和颞区的 alpha 峰频率较低。此外，患者在颞区的 alpha 相位不连续性发生率较高，而在颞区和后扣带回区的 theta 相位不连续性发生率较低。
在休息时，精神分裂症患者存在 alpha 和 theta 频段相位不连续性的异常发生率、多个频段 EEG 功率的异常升高以及 alpha 峰频率降低。阐明异常相位不连续性的机制基础可能有助于阐明精神分裂症的核心病理生理异常，并为治疗干预的新型生物标志物的发展做出贡献。
