Domantė Kučikienė , Johannes Jungilligens , Stefan Wolking , Yvonne Weber , Jörg Wellmer , Stoyan Popkirov
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Across a sample of 13 FDS patients, four microstates yielded a high mean global explained variance of 76.2 % and qualitatively resembled the well-established “canonical” microstate map topographies A-D. Repeated measure analysis of variance did not reveal any significant differences in contribution, occurrence or global field power of microstates between baseline and ictal recordings. Microstate duration, however, was significantly different between baseline and seizure recordings with shorter durations of microstates in FDS (p = 0.007). This was most pronounced for microstate D (Cohen’s <em>d</em> = 0.75) with the change being significant in an exploratory post hoc paired <em>t</em>-test (p = 0.044). Since microstate D is thought to reflect frontoparietal network activity, the findings of this pilot study can be interpreted as supportive of current theories of arousal-mediated disruptions of network activity that reduce cognitive and behavioural control during FDS.</div></div>","PeriodicalId":36558,"journal":{"name":"Epilepsy and Behavior Reports","volume":"31 ","pages":"Article 100809"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changes in brain network dynamics during functional/dissociative seizures: An exploratory pilot study on EEG microstates\",\"authors\":\"Domantė Kučikienė , Johannes Jungilligens , Stefan Wolking , Yvonne Weber , Jörg Wellmer , Stoyan Popkirov\",\"doi\":\"10.1016/j.ebr.2025.100809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The pathophysiology of functional/dissociative seizures (FDS), also known as psychogenic nonepileptic seizures, remains incompletely understood. Current theories suggest that ictal changes in self-awareness and behavioural control are likely related to arousal-mediated disruptions of brain network dynamics, but direct electrophysiological evidence is scarce. In a proof-of-concept, the second of its kind pilot study, we explored ictal changes in EEG microstates – quasi-stable patterns of electrical activity of 50–70 ms duration that represent fundamental building blocks of large-scale brain network dynamics. Across a sample of 13 FDS patients, four microstates yielded a high mean global explained variance of 76.2 % and qualitatively resembled the well-established “canonical” microstate map topographies A-D. Repeated measure analysis of variance did not reveal any significant differences in contribution, occurrence or global field power of microstates between baseline and ictal recordings. Microstate duration, however, was significantly different between baseline and seizure recordings with shorter durations of microstates in FDS (p = 0.007). This was most pronounced for microstate D (Cohen’s <em>d</em> = 0.75) with the change being significant in an exploratory post hoc paired <em>t</em>-test (p = 0.044). Since microstate D is thought to reflect frontoparietal network activity, the findings of this pilot study can be interpreted as supportive of current theories of arousal-mediated disruptions of network activity that reduce cognitive and behavioural control during FDS.</div></div>\",\"PeriodicalId\":36558,\"journal\":{\"name\":\"Epilepsy and Behavior Reports\",\"volume\":\"31 \",\"pages\":\"Article 100809\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epilepsy and Behavior Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589986425000693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epilepsy and Behavior Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589986425000693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
功能性/解离性发作(FDS)的病理生理学,也被称为心因性非癫痫性发作,仍然不完全了解。目前的理论表明,自我意识和行为控制的关键变化可能与觉醒介导的大脑网络动力学中断有关,但直接的电生理证据很少。在概念验证中,我们探索了脑电图微状态的关键变化——持续50-70毫秒的准稳定电活动模式,代表了大规模大脑网络动态的基本组成部分。在13例FDS患者的样本中,4个微观状态产生了76.2%的高平均全球解释方差,并且在质量上类似于已建立的“规范”微观状态地图地形a - d。方差的重复测量分析未显示基线和临界记录之间在微状态的贡献、发生或全局场功率方面有任何显著差异。然而,微状态持续时间在基线和癫痫发作记录之间有显著差异,FDS中微状态持续时间较短(p = 0.007)。这在微观状态D中最为明显(Cohen’s D = 0.75),在探索性事后配对t检验中变化显著(p = 0.044)。由于微状态D被认为反映了额顶叶网络活动,因此这项初步研究的结果可以被解释为支持当前的理论,即觉醒介导的网络活动中断可以减少FDS期间的认知和行为控制。
Changes in brain network dynamics during functional/dissociative seizures: An exploratory pilot study on EEG microstates
The pathophysiology of functional/dissociative seizures (FDS), also known as psychogenic nonepileptic seizures, remains incompletely understood. Current theories suggest that ictal changes in self-awareness and behavioural control are likely related to arousal-mediated disruptions of brain network dynamics, but direct electrophysiological evidence is scarce. In a proof-of-concept, the second of its kind pilot study, we explored ictal changes in EEG microstates – quasi-stable patterns of electrical activity of 50–70 ms duration that represent fundamental building blocks of large-scale brain network dynamics. Across a sample of 13 FDS patients, four microstates yielded a high mean global explained variance of 76.2 % and qualitatively resembled the well-established “canonical” microstate map topographies A-D. Repeated measure analysis of variance did not reveal any significant differences in contribution, occurrence or global field power of microstates between baseline and ictal recordings. Microstate duration, however, was significantly different between baseline and seizure recordings with shorter durations of microstates in FDS (p = 0.007). This was most pronounced for microstate D (Cohen’s d = 0.75) with the change being significant in an exploratory post hoc paired t-test (p = 0.044). Since microstate D is thought to reflect frontoparietal network activity, the findings of this pilot study can be interpreted as supportive of current theories of arousal-mediated disruptions of network activity that reduce cognitive and behavioural control during FDS.