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Related Experiment Video

Updated: Mar 3, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Infraslow Electroencephalographic and Dynamic Resting State Network Activity.

Joshua K Grooms1, Garth J Thompson2, Wen-Ju Pan1

  • 11 Department of Biomedical Engineering, Georgia Institute of Technology and Emory University , Atlanta, Georgia .

Brain Connectivity
|May 3, 2017
PubMed
Summary
This summary is machine-generated.

This study links infraslow electrical activity, measured by direct current electroencephalography (DC EEG), to blood oxygenation level dependent (BOLD) signal fluctuations in humans. These findings reveal infraslow brain activity

Keywords:
DC-EEGfunctional connectivityinfraslowresting state MRIsliding window correlation

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Electrophysiology

Background:

  • Previous research linked traditional electroencephalography (EEG) bands to the blood oxygenation level dependent (BOLD) signal.
  • The relationship between BOLD signals and infraslow (<1 Hz) EEG activity, crucial for large-scale network dynamics in rodents, remained understudied in humans.

Purpose of the Study:

  • To investigate the link between infraslow electrical activity and brain network dynamics in humans.
  • To determine if infraslow EEG signals correlate with BOLD signal fluctuations and resting-state networks.

Main Methods:

  • Simultaneous acquisition of direct current (DC) EEG and resting-state functional magnetic resonance imaging (fMRI) data.
  • Correlation analysis between DC EEG signals and BOLD signals.
  • Dynamic analysis of the time-varying correlation between DC EEG and BOLD signals.

Main Results:

  • DC EEG signals showed correlations with BOLD signals that mirrored known resting-state networks.
  • The correlation between DC EEG and BOLD signals exhibited significant temporal variability within subjects.
  • This variability suggests DC EEG reflects the dynamic contributions of different resting-state networks over time.

Conclusions:

  • Infraslow electrical activity is demonstrably linked to BOLD signal fluctuations in the human brain.
  • Infraslow EEG activity may underpin the large-scale organization of brain networks, similar to findings in animal models.
  • This research opens new avenues for understanding brain network dynamics using infraslow electrical signals.