Electroencephalography (EEG) microstates (MSs) are defined as quasi-stable topographies that represent global coherent activation. Alternations in EEG MSs have been reported in numerous neuropsychiatric disorders. Transferring the results of these studies into clinical practice requires not only high reliability but also sufficient individual specificity. Nevertheless, whether the amount of data used in microstate analysis influences reliability and how much individual information is provided by EEG MSs are unclear. In the current study, we aimed to assess the within-subject consistency and between-subject differences in the characteristics of EEG MSs. Two sets of eyes-closed resting-state EEG recordings were collected from 54 young, healthy participants on two consecutive days. The Raven Advanced Progressive Matrices test was conducted to assess general fluid intelligence (gF). We obtained four MSs (labeled A, B, C and D) through EEG microstate analysis. EEG MS characteristics including traditional features (the global explained variances, mean durations, coverages, occurrences and transition probabilities), the Hurst exponents and temporal dynamic features (the autocorrelation functions and the partial autocorrelation functions) were calculated and evaluated. The data with a duration greater than 2 min showed moderate to high reliability and individual specificity. The mean duration and coverage of MS C were significantly correlated with the gF score. The dynamic features showed a higher identification accuracy and were more significantly correlated with gF than the traditional MS features. These findings reveal that EEG microstate characteristics are reliably unique in single subjects and possess abundant inter-individual variability.

Jiayi Liu

Jing Xu

Guangyuan Zou

Yong He

Qihong Zou

Jia-Hong Gao

Brain topography

BRAIN TOPOGRAPHY 使用包括 EEG、MEG、FMRI、TMS、扩散成像、光谱学、颅内记录、病变研究和相关方法在内的全方位成像技术发表关于认知神经科学和功能性神经生理学的临床和基础研究。特别鼓励结合多种技术的提交，以及新的和创新方法的报告。

The journal "Brain Topography" employs a wide range of imaging techniques, including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods, to publish clinical and fundamental research in cognitive neuroscience and functional neurophysiology. The journal particularly encourages submissions that combine multiple techniques and reports on new and innovative methods.

《Brain Topography》期刊使用包括EEG、MEG、fMRI、TMS、扩散成像、光谱学、颅内记录、病变研究等多种成像技术，发表关于认知神经科学和功能性神经生理学的临床与基础研究。期刊特别鼓励提交结合多种技术的研究，以及报告新的和创新的方法。

Brain Topography

Brain Topogr

Reliability and Individual Specificity of EEG Microstate Characteristics.

Findings reveal that EEG microstate characteristics are reliably unique in single subjects and possess abundant inter-individual variability.

Category	Quartile
医学	3
医学, 临床神经病学	3
医学, 神经科学	3

Reliability and Individual Specificity of EEG Microstate Characteristics.

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