Dynamic reconfiguration of cortical functional connectivity across brain states
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Dynamic reconfiguration of cortical functional connectivity across brain states. / Stitt, Iain; Hollensteiner, Karl J; Galindo-Leon, Edgar; Pieper, Florian; Fiedler, Eva; Stieglitz, Thomas; Engler, Gerhard; Nolte, Guido; Engel, Andreas K.
in: SCI REP-UK, Jahrgang 7, Nr. 1, 18.08.2017, S. 8797.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Dynamic reconfiguration of cortical functional connectivity across brain states
AU - Stitt, Iain
AU - Hollensteiner, Karl J
AU - Galindo-Leon, Edgar
AU - Pieper, Florian
AU - Fiedler, Eva
AU - Stieglitz, Thomas
AU - Engler, Gerhard
AU - Nolte, Guido
AU - Engel, Andreas K
PY - 2017/8/18
Y1 - 2017/8/18
N2 - Throughout each day, the brain displays transient changes in state, as evidenced by shifts in behavior and vigilance. While the electrophysiological correlates of brain states have been studied for some time, it remains unclear how large-scale cortico-cortical functional connectivity systematically reconfigures across states. Here, we investigate state-dependent shifts in cortical functional connectivity by recording local field potentials (LFPs) during spontaneous behavioral transitions in the ferret using chronically implanted micro-electrocorticographic (µECoG) arrays positioned over occipital, parietal, and temporal cortical regions. To objectively classify brain state, we describe a data-driven approach that projects time-varying LFP spectral properties into brain state space. Distinct brain states displayed markedly different patterns of cross-frequency phase-amplitude coupling and inter-electrode phase synchronization across several LFP frequency bands. The largest across-state differences in functional connectivity were observed between periods of presumed slow-wave and rapid-eye-movement-sleep/active-state, which were characterized by the contrasting phenomena of cortical network fragmentation and global synchronization, respectively. Collectively, our data provide strong evidence that large-scale functional interactions in the brain dynamically reconfigure across behavioral states.
AB - Throughout each day, the brain displays transient changes in state, as evidenced by shifts in behavior and vigilance. While the electrophysiological correlates of brain states have been studied for some time, it remains unclear how large-scale cortico-cortical functional connectivity systematically reconfigures across states. Here, we investigate state-dependent shifts in cortical functional connectivity by recording local field potentials (LFPs) during spontaneous behavioral transitions in the ferret using chronically implanted micro-electrocorticographic (µECoG) arrays positioned over occipital, parietal, and temporal cortical regions. To objectively classify brain state, we describe a data-driven approach that projects time-varying LFP spectral properties into brain state space. Distinct brain states displayed markedly different patterns of cross-frequency phase-amplitude coupling and inter-electrode phase synchronization across several LFP frequency bands. The largest across-state differences in functional connectivity were observed between periods of presumed slow-wave and rapid-eye-movement-sleep/active-state, which were characterized by the contrasting phenomena of cortical network fragmentation and global synchronization, respectively. Collectively, our data provide strong evidence that large-scale functional interactions in the brain dynamically reconfigure across behavioral states.
KW - Journal Article
U2 - 10.1038/s41598-017-08050-6
DO - 10.1038/s41598-017-08050-6
M3 - SCORING: Journal article
C2 - 28821753
VL - 7
SP - 8797
JO - SCI REP-UK
JF - SCI REP-UK
SN - 2045-2322
IS - 1
ER -
