2022
DOI: 10.1101/2022.11.24.517789
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Characterization of spatiotemporal dynamics in EEG data during picture naming with optical flow patterns

Abstract: We present an analysis of the spatiotemporal dynamics of the oscillations in the electric potential that arises from neural activity. Depending on the frequency and phase of oscillations, these dynamics can be characterized as standing waves or as out-of-phase and modulated waves, which represent a combination of standing and moving waves. We characterize these dynamics as optical flow patterns, in terms of sources, sinks, spirals and saddles. Analytical and numerical solutions are compared with real EEG data … Show more

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“…In the high frequency ranges (alpha and above) GFP patterns seem modulated by a slow component (~1Hz). From a theoretical point of view, such a behavior can be obtained with the superposition of several oscillating sources with slight frequency differences (Volpert et al 2022). It may also reflect the existence of frequency coupling (Lakatos et al, 2005;Klimesch, 2018).…”
Section: Global Field Power (Gfp)mentioning
confidence: 99%
“…In the high frequency ranges (alpha and above) GFP patterns seem modulated by a slow component (~1Hz). From a theoretical point of view, such a behavior can be obtained with the superposition of several oscillating sources with slight frequency differences (Volpert et al 2022). It may also reflect the existence of frequency coupling (Lakatos et al, 2005;Klimesch, 2018).…”
Section: Global Field Power (Gfp)mentioning
confidence: 99%