关于脑电图微状态方法的可靠性。

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY
Brain Topography Pub Date : 2024-03-01 Epub Date: 2023-07-06 DOI:10.1007/s10548-023-00982-9
Tobias Kleinert, Thomas Koenig, Kyle Nash, Edmund Wascher
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引用次数: 0

摘要

脑电图微状态代表静息脑电图记录中可观察到的大脑功能网络,在快速切换到另一个网络之前会保持 40-120 毫秒的稳定。据推测,微状态特征(即持续时间、出现次数、覆盖百分比和转换)可作为精神和神经疾病以及社会心理特征的神经标记。然而,要为这一假设提供依据,还需要有关其重测可靠性的可靠数据。此外,研究人员目前使用的方法各不相同,需要对这些方法的一致性和适用性进行比较,以得出可靠的结果。基于一个广泛的数据集,该数据集在很大程度上代表了西方社会(为期两天,每次测量两次静息脑电图;第一天:n = 583;第二天:n = 542),我们发现微状态持续时间、发生率和覆盖率的短期重测可靠性良好至卓越(平均 ICC = 0.874-0.920)。这些微状态特征的长期重测可靠性总体良好(平均 ICCs = 0.671-0.852),即使两次测量之间的间隔时间超过半年,这也支持了微状态持续时间、发生率和覆盖率代表稳定神经特征这一由来已久的观点。在不同的脑电图系统(64 个电极与 30 个电极)、记录时间(3 分钟与 2 分钟)和认知状态(实验前与实验后)下,研究结果都是稳健的。然而,我们发现过渡的重测可靠性较差。在不同的聚类过程中,微状态特征的一致性都很好甚至非常好(除了转换),而且两种过程都能产生可靠的结果。与单个拟合相比,大平均拟合的结果更可靠。总体而言,这些发现为微观状态方法的可靠性提供了有力的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the Reliability of the EEG Microstate Approach.

On the Reliability of the EEG Microstate Approach.

EEG microstates represent functional brain networks observable in resting EEG recordings that remain stable for 40-120ms before rapidly switching into another network. It is assumed that microstate characteristics (i.e., durations, occurrences, percentage coverage, and transitions) may serve as neural markers of mental and neurological disorders and psychosocial traits. However, robust data on their retest-reliability are needed to provide the basis for this assumption. Furthermore, researchers currently use different methodological approaches that need to be compared regarding their consistency and suitability to produce reliable results. Based on an extensive dataset largely representative of western societies (2 days with two resting EEG measures each; day one: n = 583; day two: n = 542) we found good to excellent short-term retest-reliability of microstate durations, occurrences, and coverages (average ICCs = 0.874-0.920). There was good overall long-term retest-reliability of these microstate characteristics (average ICCs = 0.671-0.852), even when the interval between measures was longer than half a year, supporting the longstanding notion that microstate durations, occurrences, and coverages represent stable neural traits. Findings were robust across different EEG systems (64 vs. 30 electrodes), recording lengths (3 vs. 2 min), and cognitive states (before vs. after experiment). However, we found poor retest-reliability of transitions. There was good to excellent consistency of microstate characteristics across clustering procedures (except for transitions), and both procedures produced reliable results. Grand-mean fitting yielded more reliable results compared to individual fitting. Overall, these findings provide robust evidence for the reliability of the microstate approach.

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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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