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The time-varying brain: a comprehensive review of dynamic functional connectivity analysis in EEG and MEG

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Dynamic functional connectivity analysis has revolutionized understanding of brain dynamics at various temporal scales.
Current methodologies include auto-correlation methods and innovations such as microstate-based dFC and data-driven methods.
High temporal resolution neuroimaging techniques, like EEG and MEG, enhance tracking of brain connectivity fluctuations.
Challenges in the applicability of methods, along with data characteristics, are crucial for effective dynamic analysis.

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This review highlights advances in dynamic functional connectivity techniques in EEG and MEG, indicating new challenges.

Coelli et al. (2025) studied this question.

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