Ishibashi Tomoaki, Nobukawa Sou, Tobe Mayuna, Kikuchi Mitsuru, Takahashi Tetsuya
Department of Neuropsychiatry University of Fukui Fukui Japan.
Department of Computer Science Chiba Institute of Technology Chiba Japan.
PCN Rep. 2024 Jan 10;3(1):e164. doi: 10.1002/pcn5.164. eCollection 2024 Mar.
This study aimed to identify atypical hubs in the whole-brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data.
We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug-naïve patients with SZ and 31 age-matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re-evaluated after initiating treatment with antipsychotic medications.
BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms.
The abnormal hub topology we observed, especially in the high-frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole-brain networks of patients with SZ.
本研究旨在利用脑电图（EEG）数据识别精神分裂症（SZ）患者全脑网络中的非典型枢纽，并研究抗精神病药物的作用。
我们对21名未服用过药物的SZ患者和31名年龄匹配的健康对照的EEG信号应用相位滞后指数，估计所有电极之间的功能连接性。计算每个电极和频段的中介中心性（BC），这是一种衡量枢纽状态的指标。14名患者在开始使用抗精神病药物治疗后重新进行了评估。
SZ患者中，β频段Fz位点的BC值显著降低，γ频段Pz位点的BC值显著降低，γ频段O1位点的BC值显著升高。这些变化在抗精神病药物治疗后持续存在，且与临床症状无关。
我们观察到的异常枢纽拓扑结构，尤其是在高频段，可能反映了SZ的病理生理学，本研究强调了对EEG数据进行BC分析在检测SZ患者全脑网络改变方面的实用性。
