{"title":"地形极性揭示了健康老年人连续的脑电微态转变和电场方向。","authors":"Shiho Kashihara, Tomohisa Asai, Hiroshi Imamizu","doi":"10.1093/cercor/bhaf214","DOIUrl":null,"url":null,"abstract":"<p><p>Electroencephalography (EEG) microstate sequences, representing whole-brain spatial potential distribution patterns of the EEG, help capture spatiotemporally continuous and fluctuating neural dynamics with high temporal resolution through appropriate discretization. Recent studies suggest that EEG microstate transitions are gradual and continuous phenomena, contrary to the classical view of binary transitions. To update conventional microstate analysis to reflect continuous EEG dynamics and examine differences in age-related electrophysiological state transitions, we considered the relative positions of EEG microstates on the neural manifold and their topographical polarity. Transition probability results revealed fewer transitions on the microstate D-C-E axis in older adults but increased transitions among microstates A, D, B, and E that were mainly observed within polarity and A-B between polarity. Furthermore, the 100 microstate transitions, which are variations of the shortest transitions between 10 microstates, could be reduced to 8 principal components based on each transition co-occurrence, including hubs C and E, planar transitions through msA/B and D, and unidirectional transition components. Several transition components were potentially significant predictors of age group, independent of age-related alpha activity reductions. These patterns remained stable across longer continuous transitions over time and were nearly replicated in independent data, indicating their robustness in characterizing age-related electrophysiological spatiotemporal dynamics.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 8","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging.\",\"authors\":\"Shiho Kashihara, Tomohisa Asai, Hiroshi Imamizu\",\"doi\":\"10.1093/cercor/bhaf214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Electroencephalography (EEG) microstate sequences, representing whole-brain spatial potential distribution patterns of the EEG, help capture spatiotemporally continuous and fluctuating neural dynamics with high temporal resolution through appropriate discretization. Recent studies suggest that EEG microstate transitions are gradual and continuous phenomena, contrary to the classical view of binary transitions. To update conventional microstate analysis to reflect continuous EEG dynamics and examine differences in age-related electrophysiological state transitions, we considered the relative positions of EEG microstates on the neural manifold and their topographical polarity. Transition probability results revealed fewer transitions on the microstate D-C-E axis in older adults but increased transitions among microstates A, D, B, and E that were mainly observed within polarity and A-B between polarity. Furthermore, the 100 microstate transitions, which are variations of the shortest transitions between 10 microstates, could be reduced to 8 principal components based on each transition co-occurrence, including hubs C and E, planar transitions through msA/B and D, and unidirectional transition components. Several transition components were potentially significant predictors of age group, independent of age-related alpha activity reductions. These patterns remained stable across longer continuous transitions over time and were nearly replicated in independent data, indicating their robustness in characterizing age-related electrophysiological spatiotemporal dynamics.</p>\",\"PeriodicalId\":9715,\"journal\":{\"name\":\"Cerebral cortex\",\"volume\":\"35 8\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cerebral cortex\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/cercor/bhaf214\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral cortex","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cercor/bhaf214","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
脑电图(EEG)微状态序列代表了脑电图的全脑空间电位分布模式,通过适当的离散化,有助于以高时间分辨率捕捉时空连续和波动的神经动力学。近年来的研究表明,脑电微态转换是一种渐进和连续的现象,与传统的二元转换观点相反。为了更新传统的微状态分析,以反映连续的脑电动态,并研究与年龄相关的电生理状态转换的差异,我们考虑了脑电微状态在神经流形上的相对位置及其地形极性。转换概率结果显示,老年人微态D- c -E轴上的转换较少,而微态A、D、B和E之间的转换增加,主要发生在极性内和极性间的A-B。此外,100个微态转变是10个微态之间最短转变的变化,基于每个转变共现可以将其减少到8个主成分,包括轮毂C和E,通过msA/B和D的平面转变,以及单向转变成分。几个过渡成分是年龄组的潜在显著预测因子,独立于与年龄相关的α活性降低。随着时间的推移,这些模式在更长时间的连续过渡中保持稳定,并且在独立数据中几乎可以复制,表明它们在表征年龄相关电生理时空动态方面的稳健性。
Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging.
Electroencephalography (EEG) microstate sequences, representing whole-brain spatial potential distribution patterns of the EEG, help capture spatiotemporally continuous and fluctuating neural dynamics with high temporal resolution through appropriate discretization. Recent studies suggest that EEG microstate transitions are gradual and continuous phenomena, contrary to the classical view of binary transitions. To update conventional microstate analysis to reflect continuous EEG dynamics and examine differences in age-related electrophysiological state transitions, we considered the relative positions of EEG microstates on the neural manifold and their topographical polarity. Transition probability results revealed fewer transitions on the microstate D-C-E axis in older adults but increased transitions among microstates A, D, B, and E that were mainly observed within polarity and A-B between polarity. Furthermore, the 100 microstate transitions, which are variations of the shortest transitions between 10 microstates, could be reduced to 8 principal components based on each transition co-occurrence, including hubs C and E, planar transitions through msA/B and D, and unidirectional transition components. Several transition components were potentially significant predictors of age group, independent of age-related alpha activity reductions. These patterns remained stable across longer continuous transitions over time and were nearly replicated in independent data, indicating their robustness in characterizing age-related electrophysiological spatiotemporal dynamics.
期刊介绍:
Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included.
The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.