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Updated: May 15, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Published on: March 21, 2019
Dynamic BOLD functional connectivity in humans and its electrophysiological correlates
Enzo Tagliazucchi1, Frederic von Wegner, Astrid Morzelewski
1Neurology Department and Brain Imaging Center, Goethe University Frankfurt am Main, Germany.
Brain connectivity dynamically changes with neural oscillations. Increased gamma power boosts connectivity for cognition, while alpha power decreases it, suggesting an idling state. Vigilance changes alter these patterns.
Area of Science:
- Neuroscience
- Cognitive Science
- Neuroimaging
Background:
- Neural oscillations are fundamental to human perception and cognition.
- Brain functional connectivity is dynamic, fluctuating with neural population synchronization.
- Dynamic functional connectivity is observable in spontaneous Blood Oxygen Level-Dependent (BOLD) signal fluctuations via functional Magnetic Resonance Imaging (fMRI).
Purpose of the Study:
- To investigate the electrophysiological correlates of dynamic BOLD functional connectivity.
- To analyze temporal fluctuations in BOLD connectivity using simultaneous electroencephalography (EEG) and fMRI.
- To examine how vigilance transitions affect these dynamic connectivity patterns.
Main Methods:
- Conducted long (≈50 min) simultaneous EEG and fMRI recordings in awake subjects and those undergoing vigilance transitions.
- Analyzed temporal fluctuations in BOLD connectivity across a network of 90 cortical and subcortical regions.
- Correlated EEG spectral power (alpha, beta, gamma bands) with fMRI BOLD connectivity and graph theoretical network indices.
Main Results:
- Increased alpha (8-12 Hz) and beta (15-30 Hz) power correlated with decreased BOLD functional connectivity.
- Increased gamma (30-60 Hz) power correlated positively with BOLD functional connectivity between specific brain regions.
- Vigilance transitions altered these patterns, with slower oscillations correlating with increased functional connectivity; alpha power changes related to network average path length.
Conclusions:
- Fluctuations in BOLD functional connectivity have a demonstrable neurophysiological basis.
- Gamma power increases may facilitate BOLD connectivity for cognitive integration.
- Alpha power decreases suggest temporary weakening of connectivity associated with idling states.
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