Grin-Yatsenko Vera A, Ponomarev Valery A, Pronina Marina V, Poliakov Yury I, Plotnikova Irina V, Kropotov Juri D
1 Laboratory of Neurobiology of Action Programming, N.P. Bechtereva Institute of the Human Brain of the Russian Academy of Sciences, St Petersburg, Russia.
2 Institute of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.
Clin EEG Neurosci. 2017 Sep;48(5):307-315. doi: 10.1177/1550059416683283. Epub 2017 Jan 5.
We evaluated EEG frequency abnormalities in resting state (eyes closed and eyes open) EEG in a group of chronic schizophrenia patients as compared with healthy subjects. The study included 3 methods of analysis of deviation of EEG characteristics: genuine EEG, current source density (CSD), and group independent component (gIC). All 3 methods have shown that the EEG in schizophrenia patients is characterized by enhanced low-frequency (delta and theta) and high-frequency (beta) activity in comparison with the control group. However, the spatial pattern of differences was dependent on the type of method used. Comparative analysis has shown that increased EEG power in schizophrenia patients apparently concerns both widely spatially distributed components and local components of signal. Furthermore, the observed differences in the delta and theta range can be described mainly by the local components, and those in the beta range mostly by spatially widely distributed ones. The possible nature of the widely distributed activity is discussed.
我们评估了一组慢性精神分裂症患者在静息状态（闭眼和睁眼）脑电图（EEG）中的频率异常情况，并与健康受试者进行了比较。该研究包括3种分析EEG特征偏差的方法：原始EEG、电流源密度（CSD）和组独立成分（gIC）。所有这3种方法均显示，与对照组相比，精神分裂症患者的EEG特征为低频（δ波和θ波）和高频（β波）活动增强。然而，差异的空间模式取决于所使用的方法类型。比较分析表明，精神分裂症患者EEG功率增加显然涉及信号在空间上广泛分布的成分和局部成分。此外，在δ波和θ波范围内观察到的差异主要可由局部成分来描述，而在β波范围内的差异大多由在空间上广泛分布的成分来描述。本文讨论了广泛分布活动的可能性质。
