EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States.

Abreu, Rodolfo; Jorge, João; Leal, Alberto; König, Thomas; Figueiredo, Patrícia (2020). EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States. Brain topography, 34(1), pp. 41-55. Springer 10.1007/s10548-020-00805-1

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Brain functional connectivity measured by resting-state fMRI varies over multiple time scales, and recurrent dynamic functional connectivity (dFC) states have been identified. These have been found to be associated with different cognitive and pathological states, with potential as disease biomarkers, but their neuronal underpinnings remain a matter of debate. A number of recurrent microstates have also been identified in resting-state EEG studies, which are thought to represent the quasi-simultaneous activity of large-scale functional networks reflecting time-varying brain states. Here, we hypothesized that fMRI-derived dFC states may be associated with these EEG microstates. To test this hypothesis, we quantitatively assessed the ability of EEG microstates to predict concurrent fMRI dFC states in simultaneous EEG-fMRI data collected from healthy subjects at rest. By training a random forests classifier, we found that the four canonical EEG microstates predicted fMRI dFC states with an accuracy of 90%, clearly outperforming alternative EEG features such as spectral power. Our results indicate that EEG microstates analysis yields robust signatures of fMRI dFC states, providing evidence of the electrophysiological underpinnings of dFC while also further supporting that EEG microstates reflect the dynamics of large-scale brain networks.

Item Type:

Journal Article (Original Article)

Division/Institute:

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

UniBE Contributor:

König, Thomas

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0896-0267

Publisher:

Springer

Language:

English

Submitter:

Thomas König

Date Deposited:

23 Dec 2020 14:44

Last Modified:

17 Jan 2021 02:53

Publisher DOI:

10.1007/s10548-020-00805-1

PubMed ID:

33161518

Uncontrolled Keywords:

EEG microstates Random forests Simultaneous EEG-fMRI fMRI dynamic functional connectivity

BORIS DOI:

10.48350/148867

URI:

https://boris.unibe.ch/id/eprint/148867

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