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Exploring the cortical habituation in migraine patients based on contingent negative variation
INTRODUCTION: Cognitive 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. METHODS: Thirty...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502328/ https://www.ncbi.nlm.nih.gov/pubmed/37719755 http://dx.doi.org/10.3389/fneur.2023.1226554 |
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author | Ning, Jinru Zhang, Yongxiang Wang, Yan Liu, Chang Cheng, Yingying Zhu, Mingqin Dong, Ming Yang, Xin Lv, Yudan |
author_facet | Ning, Jinru Zhang, Yongxiang Wang, Yan Liu, Chang Cheng, Yingying Zhu, Mingqin Dong, Ming Yang, Xin Lv, Yudan |
author_sort | Ning, Jinru |
collection | PubMed |
description | INTRODUCTION: Cognitive 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. METHODS: Thirty 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). RESULTS: The 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. DISCUSSION: Our 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. |
format | Online Article Text |
id | pubmed-10502328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105023282023-09-16 Exploring the cortical habituation in migraine patients based on contingent negative variation Ning, Jinru Zhang, Yongxiang Wang, Yan Liu, Chang Cheng, Yingying Zhu, Mingqin Dong, Ming Yang, Xin Lv, Yudan Front Neurol Neurology INTRODUCTION: Cognitive 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. METHODS: Thirty 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). RESULTS: The 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. DISCUSSION: Our 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. Frontiers Media S.A. 2023-08-30 /pmc/articles/PMC10502328/ /pubmed/37719755 http://dx.doi.org/10.3389/fneur.2023.1226554 Text en Copyright © 2023 Ning, Zhang, Wang, Liu, Cheng, Zhu, Dong, Yang and Lv. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Ning, Jinru Zhang, Yongxiang Wang, Yan Liu, Chang Cheng, Yingying Zhu, Mingqin Dong, Ming Yang, Xin Lv, Yudan Exploring the cortical habituation in migraine patients based on contingent negative variation |
title | Exploring the cortical habituation in migraine patients based on contingent negative variation |
title_full | Exploring the cortical habituation in migraine patients based on contingent negative variation |
title_fullStr | Exploring the cortical habituation in migraine patients based on contingent negative variation |
title_full_unstemmed | Exploring the cortical habituation in migraine patients based on contingent negative variation |
title_short | Exploring the cortical habituation in migraine patients based on contingent negative variation |
title_sort | exploring the cortical habituation in migraine patients based on contingent negative variation |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502328/ https://www.ncbi.nlm.nih.gov/pubmed/37719755 http://dx.doi.org/10.3389/fneur.2023.1226554 |
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