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关于动态有效连接模式如何编码慢性偏头痛中波动的疼痛强度的研究。

Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine.

作者信息

Bassez Iege, Van de Steen Frederik, Hackl Sophie, Jahn Pauline, Mayr Astrid, Marinazzo Daniele, Schulz Enrico

机构信息

Department of Data Analysis, Ghent University, Henri Dunantlaan 1, Ghent 9000, Belgium.

AIMS Laboratory, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels 1050, Belgium.

出版信息

Neurobiol Pain. 2022 Aug 17;12:100100. doi: 10.1016/j.ynpai.2022.100100. eCollection 2022 Aug-Dec.

DOI:10.1016/j.ynpai.2022.100100
PMID:36051490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9424568/
Abstract

Chronic migraine is characterised by persistent headaches for >15 days per month; the intensity of the pain is fluctuating over time. Here, we explored the dynamic interplay of connectivity patterns between regions known to be related to pain processing and their relation to the ongoing dynamic pain experience. We recorded EEG from 80 sessions (20 chronic migraine patients in 4 separate sessions of 25 min). The patients were asked to continuously rate the intensity of their endogenous headache. On different time-windows, a dynamic causal model (DCM) of cross spectral responses was inverted to estimate connectivity strengths. For each patient and session, the evolving dynamics of effective connectivity were related to pain intensities and to pain intensity changes by using a Bayesian linear model. Hierarchical Bayesian modelling was further used to examine which connectivity-pain relations are consistent across sessions and across patients. The results reflect the multi-facetted clinical picture of the disease. Across all sessions, each patient with chronic migraine exhibited a distinct pattern of pain intensity-related cortical connectivity. The diversity of the individual findings are accompanied by inconsistent relations between the connectivity parameters and pain intensity or pain intensity changes at group level. This suggests a rejection of the idea of a common neuronal core problem for chronic migraine.

摘要

慢性偏头痛的特征是每月持续头痛超过15天;疼痛强度随时间波动。在此,我们探讨了已知与疼痛处理相关区域之间连接模式的动态相互作用及其与持续动态疼痛体验的关系。我们记录了80次脑电图(20名慢性偏头痛患者,分4次,每次25分钟)。要求患者持续对其内生性头痛的强度进行评分。在不同的时间窗口,对交叉谱响应的动态因果模型(DCM)进行反演以估计连接强度。对于每位患者和每次记录,通过使用贝叶斯线性模型,有效连接的演变动态与疼痛强度以及疼痛强度变化相关。进一步使用分层贝叶斯建模来检查哪些连接-疼痛关系在各次记录以及各患者之间是一致的。结果反映了该疾病多方面的临床情况。在所有记录中,每位慢性偏头痛患者都表现出与疼痛强度相关的独特皮质连接模式。个体研究结果的多样性伴随着在组水平上连接参数与疼痛强度或疼痛强度变化之间不一致的关系。这表明拒绝了慢性偏头痛存在共同神经元核心问题这一观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/31b93220db92/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/e50fe025d2ac/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/0e607ee40bd9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/c6c29aea27b7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/5bb3288ed660/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/31b93220db92/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/e50fe025d2ac/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/0e607ee40bd9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/c6c29aea27b7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/5bb3288ed660/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c59/9424568/31b93220db92/gr5.jpg

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Intrinsic network activity reflects the ongoing experience of chronic pain.
内在网络活动反映了慢性疼痛的持续体验。
Sci Rep. 2021 Nov 8;11(1):21870. doi: 10.1038/s41598-021-01340-0.
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Migraine chronification is associated with beta-band connectivity within the pain-related cortical regions: a magnetoencephalographic study.偏头痛慢性化与疼痛相关皮质区域内的β波段连通性相关:一项脑磁图研究。
Pain. 2021 Oct 1;162(10):2590-2598. doi: 10.1097/j.pain.0000000000002255.
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Adiabatic dynamic causal modelling.绝热动态因果建模。
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