Infraslow Electroencephalographic and Dynamic Resting State Network Activity

0545853 - ÚI 2022 US eng J - Journal Article
Grooms, J.K. - Thompson, G. J. - Pan, W.J. - Billings, Jacob - Schumacher, E.H. - Epstein, C.M. - Keilholz, S.
Infraslow Electroencephalographic and Dynamic Resting State Network Activity.
Brain Connectivity. Roč. 7, č. 5 (2017), s. 265-280. ISSN 2158-0014. E-ISSN 2158-0022
Keywords : dc-eeg * functional connectivity * infraslow * resting state MRI * sliding window correlation

A number of studies have linked the blood oxygenation level dependent (BOLD) signal to electroencephalographic (EEG) signals in traditional frequency bands (delta, theta, alpha, beta, and gamma), but the relationship between BOLD and its direct frequency correlates in the infraslow band (<1Hz) 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.
Permanent Link: http://hdl.handle.net/11104/0322489