S
Satu Palva
Researcher at University of Helsinki
Publications - 88
Citations - 7774
Satu Palva is an academic researcher from University of Helsinki. The author has contributed to research in topics: Magnetoencephalography & Phase synchronization. The author has an hindex of 32, co-authored 77 publications receiving 6461 citations. Previous affiliations of Satu Palva include Helsinki University Central Hospital & University of Glasgow.
Papers
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New vistas for α-frequency band oscillations
TL;DR: It is proposed that simultaneous α-, β- (14–30Hz) and γ- (30–70Hz) frequency band oscillations are required for unified cognitive operations, and hypothesize that cross-frequency phase synchrony between α, β and ι oscillations coordinates the selection and maintenance of neuronal object representations during working memory, perception and consciousness.
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Phase Synchrony among Neuronal Oscillations in the Human Cortex
TL;DR: It is demonstrated, using magnetoencephalography, that robust cross-frequency phase synchrony is present in the human cortex among oscillations with frequencies from 3 to 80 Hz and that it is modulated by cognitive task demands.
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Neuronal synchrony reveals working memory networks and predicts individual memory capacity
TL;DR: Data suggest that interareal phase synchrony in the α-, β-, and γ-frequency bands among frontoparietal and visual regions could be a systems level mechanism for coordinating and regulating the maintenance of neuronal object representations in VWM.
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Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans
TL;DR: It is concluded that ongoing 0.01–0.1 Hz EEG fluctuations are prominent and functionally significant during execution of cognitive tasks, suggesting that the infraslow fluctuations reflect the excitability dynamics of cortical networks.
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Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws
J. Matias Palva,Alexander Zhigalov,Jonni Hirvonen,Onerva Korhonen,Klaus Linkenkaer-Hansen,Satu Palva,Satu Palva +6 more
TL;DR: In this article, the authors used source reconstructed magneto-and electroencephalographic recordings to characterize the dynamics of ongoing cortical activity and found robust power-law scaling in neuronal LRTCs and avalanches in resting-state data and during the performance of audiovisual threshold stimulus detection tasks.