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

[img] Text
Abreu2020_Article_EEGMicrostatesPredictConcurren.pdf - Published Version
Restricted to registered users only until 8 November 2024.
Available under License Publisher holds Copyright.

Download (7MB) | Request a copy

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)


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

UniBE Contributor:

König, Thomas


600 Technology > 610 Medicine & health








Thomas König

Date Deposited:

23 Dec 2020 14:44

Last Modified:

05 Dec 2022 15:42

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

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




Actions (login required)

Edit item Edit item
Provide Feedback