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.

Item Type:

Book Section (Book Chapter)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Translational Research Center

UniBE Contributor:

König, Thomas and Koukkou-Lehmann, Martha

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

0893-2336

ISBN:

978-1-4939-6488-8

Series:

Neuromethods

Publisher:

Humana Press

Language:

English

Submitter:

Thomas König

Date Deposited:

05 Jun 2018 13:34

Last Modified:

23 Oct 2019 07:30

Publisher DOI:

10.1007/978-1-4939-6490-1_2

BORIS DOI:

10.7892/boris.108246

URI:

https://boris.unibe.ch/id/eprint/108246

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