Brain-wide neural co-activations in resting human

Area of Science:

• Neuroscience
• Brain Imaging
• Systems Neuroscience

Background:

• Resting-state functional magnetic resonance imaging (fMRI) captures slow (<0.1 Hz) brain-wide patterns.
• Limited understanding of fast (millisecond) brain network dynamics due to hemodynamic signal constraints.
• Scalp-based electroencephalography (EEG) offers millisecond resolution for studying neuronal-timescale brain dynamics.

Purpose of the Study:

• To investigate fast, brain-wide neural network dynamics using resting-state EEG.
• To characterize the spatial, spectral, and transitional properties of these networks.
• To reveal the organizing principles of brain function at neuronal timescales.

Main Methods:

• Reconstruction of cortical neural tomography from resting-state EEG.
• Extraction of component-based co-activation patterns (cCAPs) using advanced signal processing.
• Analysis of network configurations, transitions, and oscillatory structures.

Main Results:

• Identification of recurring and transitional functional brain states characterized by global patterns and anti-state pairs.
• Discovery of rich oscillatory structures (0.6 Hz, 5 Hz, 10 Hz) within nonstationary network dynamics.
• Unveiling of a superstructure regulating state transitions and governing brain-wide network dynamics.

Conclusions:

• Resting-state EEG, decomposed via cCAPs, reveals rich dynamic structures of brain-wide neural activity.
• This approach provides insights into the organizing principles of human brain function at neuronal timescales.
• The findings highlight the dynamic interplay of intrinsic brain networks and their transitions.