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Related Experiment Video

Updated: Mar 7, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

EEG Signatures of Dynamic Functional Network Connectivity States.

E A Allen¹, E Damaraju^2,3, T Eichele^4,5,6

¹The Mind Research Network & LBERI, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA.

Brain Topography

|February 24, 2017

Summary

This study links dynamic brain network connectivity patterns from fMRI to electroencephalography (EEG) signatures. Researchers found vigilance significantly impacts functional connectivity, challenging assumptions of its stationarity.

Keywords:

Concurrent EEG-fMRI Dynamics Functional network connectivity Resting state Vigilance

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Last Updated: Mar 7, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

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Published on: March 21, 2019

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Published on: June 15, 2018

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Published on: August 5, 2014

Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Brain function relies on dynamic modulation of neural populations for goal-directed behavior.
Functional connectivity dynamics in resting-state imaging data are linked to neural synchrony.
Previous work identified seven distinct functional connectivity states in healthy adults.

Purpose of the Study:

To investigate electrophysiological signatures corresponding to dynamic functional connectivity states.
To validate previous findings on functional connectivity states in an independent sample.
To explore the relationship between concurrent EEG and fMRI data during eyes-open and eyes-closed conditions.

Main Methods:

Utilized a sliding window correlation method on functional magnetic resonance imaging (fMRI) data.
Acquired concurrent electroencephalography (EEG) and resting-state fMRI data from healthy adults.
Analyzed EEG spectral signatures associated with identified functional network connectivity patterns.

Main Results:

Replicated previous findings on seven distinct functional connectivity states.
Identified specific EEG spectral signatures linked to functional network connectivity changes.
Observed common and distinct connectivity patterns and EEG signatures between eyes-open and eyes-closed states.
Found a vigilance-dependent functional connectivity state associated with reduced alpha and increased delta/theta EEG power, indicative of drowsiness, more prevalent in the eyes-closed state.

Conclusions:

Established a link between dynamic fMRI connectivity and concurrent EEG data.
Demonstrated a significant effect of vigilance on functional connectivity.
Highlighted that brain connectivity is not stationary, even over short periods.