Electrocorticographic Activation Patterns of Electroencephalographic Microstates.

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY
Brain Topography Pub Date : 2024-03-01 Epub Date: 2023-03-20 DOI:10.1007/s10548-023-00952-1
Christian A Mikutta, Robert T Knight, Daniela Sammler, Thomas J Müller, Thomas Koenig
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引用次数: 0

Abstract

Electroencephalography (EEG) microstates are short successive periods of stable scalp field potentials representing spontaneous activation of brain resting-state networks. EEG microstates are assumed to mediate local activity patterns. To test this hypothesis, we correlated momentary global EEG microstate dynamics with the local temporo-spectral evolution of electrocorticography (ECoG) and stereotactic EEG (SEEG) depth electrode recordings. We hypothesized that these correlations involve the gamma band. We also hypothesized that the anatomical locations of these correlations would converge with those of previous studies using either combined functional magnetic resonance imaging (fMRI)-EEG or EEG source localization. We analyzed resting-state data (5 min) of simultaneous noninvasive scalp EEG and invasive ECoG and SEEG recordings of two participants. Data were recorded during the presurgical evaluation of pharmacoresistant epilepsy using subdural and intracranial electrodes. After standard preprocessing, we fitted a set of normative microstate template maps to the scalp EEG data. Using covariance mapping with EEG microstate timelines and ECoG/SEEG temporo-spectral evolutions as inputs, we identified systematic changes in the activation of ECoG/SEEG local field potentials in different frequency bands (theta, alpha, beta, and high-gamma) based on the presence of particular microstate classes. We found significant covariation of ECoG/SEEG spectral amplitudes with microstate timelines in all four frequency bands (p = 0.001, permutation test). The covariance patterns of the ECoG/SEEG electrodes during the different microstates of both participants were similar. To our knowledge, this is the first study to demonstrate distinct activation/deactivation patterns of frequency-domain ECoG local field potentials associated with simultaneous EEG microstates.

脑电图微状态的皮层电图激活模式。
脑电图(EEG)微态是连续短时间的稳定头皮场电位,代表大脑静息态网络的自发激活。据推测,脑电图微状态可介导局部活动模式。为了验证这一假设,我们将瞬间的全局脑电图微状态动态与皮层电图(ECoG)和立体定向脑电图(SEEG)深度电极记录的局部时谱演变联系起来。我们假设这些相关性涉及伽玛波段。我们还假设,这些相关性的解剖位置将与之前使用功能磁共振成像(fMRI)-EEG 或 EEG 源定位相结合的研究结果相一致。我们分析了两名参与者同时进行的无创头皮脑电图和有创心电图及 SEEG 记录的静息状态数据(5 分钟)。这些数据是在使用硬膜下和颅内电极对药物抵抗性癫痫进行手术前评估时记录的。经过标准预处理后,我们对头皮脑电图数据拟合了一组常模微状态模板图。使用以脑电图微状态时间轴和 ECoG/SEEG 时间-光谱演变为输入的协方差映射,我们根据特定微状态类别的存在,确定了不同频段(θ、α、β 和高伽马)ECoG/SEEG 局部场电位激活的系统性变化。我们发现,在所有四个频段中,ECoG/SEEG 频谱振幅与微状态时间线存在明显的协方差(p = 0.001,置换检验)。两位参与者在不同微状态下的 ECoG/SEEG 电极协方差模式相似。据我们所知,这是第一项证明频域心电局部场电位与同时脑电图微状态相关的不同激活/去激活模式的研究。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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