EEG indices of cortical network formation and their relevance for studying variance in subjective experience and behavior

König, Thomas; Tomescu, Miralena I.; Rihs, Tonia A.; Koukkou-Lehmann, Martha (2016). EEG indices of cortical network formation and their relevance for studying variance in subjective experience and behavior. In: Philippu, Athineos (ed.) In Vivo Neuropharmacology and Neurophysiology. Neuromethods: Vol. 121 (pp. 17-35). New York, NY: Humana Press 10.1007/978-1-4939-6490-1_2

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The EEG is a highly sensitive marker for brain state, such as development, different states of consciousness and neuropsychiatric disorders. The classical spectral quantification of EEG suffers from requiring analysis epochs of 1 s or more that may contain several, and potentially quite different brain functional states. Based on the identification of subsecond time periods of stable scalp electric fields, EEG microstate analysis provides information about brain state on a time-scale that is compatible with the speed of human information processing. The present chapter reviews the conceptual underpinnings of EEG microstate analysis, introduces the methodology, and presents an overview of the available empirical findings that link EEG microstates to subjective experience and behavior under normal and abnormal conditions.

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