10.5061/DRYAD.FB240
Siebenhühner, Felix
University of Helsinki
Wang, Sheng H.
University of Helsinki
Palva, J. Matias
University of Helsinki
Palva, Satu
University of Helsinki
Data from: Cross-frequency synchronization connects networks of fast and
slow oscillations during visual working memory maintenance
Dryad
dataset
2016
Amplitude correlations
Phase synchronization
Cross-frequency coupling
working memory
2016-09-27T22:32:48Z
en
https://doi.org/10.7554/eLife.13451
489427496 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Neuronal activity in sensory and fronto-parietal (FP) areas underlies the
representation and attentional control, respectively, of sensory
information maintained in visual working memory (VWM). Within these
regions, beta/gamma phase-synchronization supports the integration of
sensory functions, while synchronization in theta/alpha bands supports the
regulation of attentional functions. A key challenge is to understand
which mechanisms integrate neuronal processing across these distinct
frequencies and thereby the sensory and attentional functions. We
investigated whether such integration could be achieved by cross-frequency
phase synchrony (CFS). Using concurrent magneto- and
electroencephalography, we found that CFS was load-dependently enhanced
between theta and alpha–gamma and between alpha and beta-gamma
oscillations during VWM maintenance among visual, FP, and dorsal attention
(DA) systems. CFS also connected the hubs of within-frequency-synchronized
networks and its strength predicted individual VWM capacity. We propose
that CFS integrates processing among synchronized neuronal networks from
theta to gamma frequencies to link sensory and attentional functions.
source data 1Effect Size/Correlation Coefficients and p-values for CFS
patch-patch interactionssource data 2Effect sizes and p-values for group
statistics of recomputed cross-frequency amplitude-amplitude
correlations.source data 3CFS Interaction matrices for Mean condition,
pos. Tailsource data 4CFS Interaction matrices for Load condition, pos.
Tailsource data 5Alpha-beta CFS Interaction matrices, pos. Tailsource data
6CFS Interaction matrices for Mean condition, neg. Tailsource data 7Effect
Size/Correlation Coefficients and p-values for PAC patch-patch
interactions