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Exploring the cortical habituation in migraine patients based on contingent negative variation
Ning, Jinru1; Zhang, Yongxiang1; Wang, Yan2; Liu, Chang1; Cheng, Yingying1; Zhu, Mingqin1; Dong, Ming1; Yang, Xin3; Lv, Yudan1
第一作者Ning, Jinru
通讯作者邮箱[email protected]; [email protected] (yudan lv)
心理所单位排序2
摘要

IntroductionCognitive dysfunction has frequently been found in patients with migraine. The so-called contingent negative variation (CNV) and EEG power spectral densities may be the best choices to explore the underlining pathophysiology, such as cortical inhibition and habituation.MethodsThirty migraine patients without aura and healthy controls matched for sex, age, and education were recruited separately for CNV recording. The amplitudes, latencies, and squares of different CNV components, such as oCNV, iCNV, tCNV, and PINV, were selected and analyzed. Behavioral data, such as manual reaction time (RT), were analyzed. We used the Person correlation coefficient R to analyze different ERP components in relation to clinical characteristics. A multiple regression analysis was conducted for the migraine group. Spectral analysis of EEG data from all channels using the fast Fourier transform (FFT).ResultsThe migraine group had longer A-latency, C-latency, and iCNV-latency than the control group. The migraine group had higher iCNV-amplitude, oCNV-amplitude, and tCNV-amplitude than the control group, especially those located in the occipital area. The iCNV-square, oCNV-square, tCNV-square, or PINV-square in the migraine group was significantly larger than the control group. Different correlations were found between clinical characteristics and ERP components. The delta or theta activity in the migraine group was statistically lower than in the control group.DiscussionOur study has revealed that migraine attacks may influence responsivity, pre-activation, habituation, and cortical inhibition not only on the behavioral level but also on the electrophysiological level. Abnormal changes in cortical habituation and inhibition can be interpreted as CNV components. Additionally, analyses have revealed correlations between CNV components and various factors, including age, the clinical course of the condition, attack frequency, pain intensity, and duration. Thus, repetitive migraine attacks can lead to a reduction in cortical inhibition and subsequent impairment in executive function.

关键词migraine contingent negative variation (CNV) FFT (fast Fourier transform) cortical habituation event-related potential (ERP)
2023-08-30
语种英语
DOI10.3389/fneur.2023.1226554
发表期刊FRONTIERS IN NEUROLOGY
ISSN1664-2295
卷号14页码:21
期刊论文类型实证研究
收录类别SCI
资助项目National Key Research and Development Program of China[2022ZD0210500] ; Jilin Provincial Science and Technology Fund[20210402022GH] ; Jilin Provincial Science and Technology Fund[YDZJ202201ZYTS543] ; Transformation Fund of the First Hospital[JDYY2021-A0018]
出版者FRONTIERS MEDIA SA
WOS关键词EVENT-RELATED POTENTIALS
WOS研究方向Neurosciences & Neurology
WOS类目Clinical Neurology ; Neurosciences
WOS记录号WOS:001064622900001
WOS分区Q2
资助机构National Key Research and Development Program of China ; Jilin Provincial Science and Technology Fund ; Transformation Fund of the First Hospital
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/46043
专题中国科学院心理健康重点实验室
通讯作者Lv, Yudan
作者单位1.First Hosp Jilin Univ, Dept Neurol, Changchun, Peoples R China
2.Ctr Aging Psychol, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
3.Dalian Univ Technol, Comp Sci Coll, Dalian, Peoples R China
推荐引用方式
GB/T 7714
Ning, Jinru,Zhang, Yongxiang,Wang, Yan,et al. Exploring the cortical habituation in migraine patients based on contingent negative variation[J]. FRONTIERS IN NEUROLOGY,2023,14:21.
APA Ning, Jinru.,Zhang, Yongxiang.,Wang, Yan.,Liu, Chang.,Cheng, Yingying.,...&Lv, Yudan.(2023).Exploring the cortical habituation in migraine patients based on contingent negative variation.FRONTIERS IN NEUROLOGY,14,21.
MLA Ning, Jinru,et al."Exploring the cortical habituation in migraine patients based on contingent negative variation".FRONTIERS IN NEUROLOGY 14(2023):21.
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