Origin of slow spontaneous resting-state neuronal fluctuations in brain networks

Resting- or baseline-state low-frequency (0.01–0.2 Hz) brain activity is observed in fMRI, EEG, and local field potential recordings. These fluctuations were found to be correlated across brain regions and are thought to reflect neuronal activity fluctuations between functionally connected areas of...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2018-06, Vol.115 (26), p.6858-6863
Hauptverfasser:	Krishnan, Giri P., González, Oscar C., Bazhenov, Maxim
Format:	Artikel
Sprache:	eng
Schlagworte:	alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid - metabolism Biological Sciences Brain Brain - physiology Brain mapping Computation Computational neuroscience Computer Simulation EEG Electrophysiological recording Firing rate Fluctuations Functional magnetic resonance imaging gamma-Aminobutyric Acid - metabolism Humans In vivo methods and tests Ion concentration Ions Models, Neurological Na+/K+-exchanging ATPase Nerve Net - physiology Neural networks Neuronal-glial interactions Peak frequency Potassium-chloride cotransporter Sodium-Potassium-Exchanging ATPase - metabolism Symporters - metabolism Synaptic Transmission - physiology γ-Aminobutyric acid
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Zusammenfassung:	Resting- or baseline-state low-frequency (0.01–0.2 Hz) brain activity is observed in fMRI, EEG, and local field potential recordings. These fluctuations were found to be correlated across brain regions and are thought to reflect neuronal activity fluctuations between functionally connected areas of the brain. However, the origin of these infra-slow resting-state fluctuations remains unknown. Here, using a detailed computational model of the brain network, we show that spontaneous infra-slow (
ISSN:	0027-8424 1091-6490
DOI:	10.1073/pnas.1715841115