Journal of Pain Research (Nov 2021)
Altered EEG Brain Networks in Patients with Acute Peripheral Herpes Zoster
Abstract
Yan Zhou,1– 3 Zhenqin Liu,4 Yuanmei Sun,5 Hao Zhang,1,3 Jianghai Ruan1,3 1Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People’s Republic of China; 2Department of Neurology, Jianyang People’s Hospital, Jianyang, 641400, People’s Republic of China; 3Laboratory of Neurological Diseases and Brain Function, Luzhou, 646000, People’s Republic of China; 4Department of Dermatology, Jianyang People’s Hospital, Jianyang, 641400, People’s Republic of China; 5Department of Dermatology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, 400010, People’s Republic of ChinaCorrespondence: Jianghai RuanDepartment of Neurology, The Affiliated Hospital of Southwest Medical University, Taiping Street No. 25, Luzhou, 646000, People’s Republic of ChinaEmail [email protected]: To investigate whether the brain networks changed in patients with acute peripheral herpes zoster (HZ).Methods: We reviewed the EEG database in Jianyang People’s Hospital. Patients with acute HZ (n=71) were enrolled from January 2016 to December 2020. Each included subject underwent a ten-minute and 16-channel EEG examination. Five epochs of 10-second EEG data in resting-state were collected from each HZ patient. Five 10-second resting-state EEG epochs from sex- and age-matched healthy controls (HC, n=71) who reported no history of neurological or psychiatric disorders and visited the hospital for routine physical examinations were collected. Brain network and graph theory analysis based on phase locking value parameter and functional ICA were performed using a self-writing Matlab code and the LORETA KEY tool.Results: Compared with the HC group, the HZ patients showed significant altered brain networks. The graph theory analysis revealed that the clustering coefficient and local efficiency of full band in HZ patients were lower than those in HC group (P< 0.05). In beta band, the global efficiency and local efficiency of HZ patients group decreased, compared with healthy group (P< 0.05). The functional ICA showed that three components showed significant differences between the two groups. In component 2, HZ patients showed excess superior frontal gyrus (BA10) neuro oscillation in delta band and less medial frontal gyrus (BA 11) neuro oscillation in beta and gamma bands than that in HCs. And for component 3, the alpha band of the HZ patients presented increased neuro activities in superior frontal gyrus (BA 11) and decreased neuro activities in occipital lobe (BA 18). In component 4, the inferior frontal gyrus (BA 47) showed excess activity in the left hemisphere and reduced activity in the right hemisphere in delta band, compared with HC group.Conclusion: Altered brain networks exist in resting-state EEG data of patients with acute HZ. The changes of EEG brain networks in HZ patients are characterized by decreased global efficiency and local efficiency in beta band. Moreover, the spontaneous oscillation of some brain regions involving pain management and the connectivity of default mode network changed in HZ patients. Our study provided novel understanding of HZ from an electrophysiological view, and led to converging evidence for treatment of HZ with neural regulation in future.Keywords: herpes zoster, brain network, graph theory analysis, independent component analysis, phase locking value
