Infraslow Electroencephalographic and Dynamic Resting State Network Activity

Grooms, Joshua K.; Thompson, Garth J.; Pan, Wen-Ju; Billings, Jacob; Schumacher, Eric H.; Epstein, Charles M.; Keilholz, Shella D.

doi:10.1089/brain.2017.0492

Cited by 74Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and Applications

Infraslow Electroencephalographic and Dynamic Resting State Network Activity

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Grooms, Joshua K., Thompson, Garth J., Pan, Wen-Ju, Billings, Jacob, Schumacher, Eric H., Epstein, Charles M., Keilholz, Shella D.·2017·Brain Connectivity

DOI 10.1089/brain.2017.0492PMC PMC5510044

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Abstract

A number of studies have linked the blood oxygenation level dependent (BOLD) signal to electroencephalographic (EEG) signals in traditional frequency bands (δ, θ, α, β, and γ), but the relationship between BOLD and its direct frequency correlates in the infraslow band (<1 Hz) has been little studied. Previously, work in rodents showed that infraslow local field potentials play a role in functional connectivity, particularly in the dynamic organization of large-scale networks. To examine the relationship between infraslow activity and network dynamics in humans, direct current (DC) EEG and resting state magnetic resonance imaging data were acquired simultaneously. The DC EEG signals were correlated with the BOLD signal in patterns that resembled resting state networks. Subsequent dynamic analysis showed that the correlation between DC EEG and the BOLD signal varied substantially over time, even within individual subjects. The variation in DC EEG appears to reflect the time-varying contribution of different resting state networks. Furthermore, some of the patterns of DC EEG and BOLD correlation are consistent with previous work demonstrating quasiperiodic spatiotemporal patterns of large-scale network activity in resting state. These findings demonstrate that infraslow electrical activity is linked to BOLD fluctuations in humans and that it may provide a basis for large-scale organization comparable to that observed in animal studies.

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Electrophysiological infraslow fluctuations are believed to coordinate large-scale intrinsic connectivity network organization and long-range information exchange.
“and are believed to coordinate large-scale ICN organization and long-range information exchange [68, 83–91].”
From Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders (2022) · cites this paper as [84]

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Authors: Grooms, J. K., Thompson, G. J., Pan, W.-J., Billings, J., Schumacher, E. H., Epstein, C. M., & Keilholz, S. D.
Affiliations: Georgia Institute of Technology (US)
Yale University (US)
Emory University (US)
Corresponding author: Keilholz, Shella D.
ORCID: Thompson, Garth J.
Pan, Wen-Ju
Billings, Jacob
Schumacher, Eric H.
Epstein, Charles M.
Keilholz, Shella D.
Venue: Brain Connectivity
Publisher: SAGE Publications
Published: 2017-06
Volume: 7
Issue: 5
Pages: 265-280
ISSN: 2158-0014 (ISSN-L)
2158-0022
DOI: 10.1089/brain.2017.0492
PMC: PMC5510044
OpenAlex: W2611583363
Cited by: 74
References: 87
Citations by year: 2026: 3 · 2025: 6 · 2024: 11 · 2023: 6 · 2022: 11 · 2021: 10 · 2020: 6 · 2019: 9 · 2018: 8 · 2017: 4
FWCI: 4.24
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
Locations: Brain Connectivity (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: U.S. Department of Homeland Security
National Institutes of Health
National Institute on Drug Abuse (T32DA022975)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: resting-state networks, BOLD signal, functional connectivity, large-scale brain networks, network dynamics, simultaneous EEG-fMRI
MeSH terms: Adolescent, Adult, Algorithms, Blood Flow Velocity, Brain, Brain Mapping, Cerebrovascular Circulation, Electroencephalography, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Oximetry, Oxygen, Rest, Sensitivity and Specificity, Reproducibility of Results, Young Adult

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Infraslow Electroencephalographic and Dynamic Resting State Network Activity

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