ArticleScientific reports2022
Evoked responses to rhythmic visual stimulation vary across sources of intrinsic alpha activity in humans.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Decoding real-world visual scenes from alpha and gamma band flicker evoked oscillations in human EEG.Scientific reports · 2026Article
- Disentangling the functional roles of pre-stimulus oscillations in crossmodal associative memory formation via sensory entrainment.Scientific reports · 2026Article
- The consequences of color chromaticity on electrophysiological measures of attentional deployment in visual search.iScience · 2025Article
- Spectral tuning and after-effects in neural entrainment.Behavioral and brain functions : BBF · 2024Article
- Article
- Alpha-band fluctuations represent behaviorally relevant excitability changes as a consequence of top-down guided spatial attention in a probabilistic spatial cueing design.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Intracerebral Electrophysiological Recordings to Understand the Neural Basis of Human Face Recognition.Brain sciences · 2023Review
- Electrophysiological model of human temporal contrast sensitivity based on SSVEP.Frontiers in neuroscience · 2023Article
- Effect of frequency and rhythmicity on flicker light-induced hallucinatory phenomena.PloS one · 2023Article
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10 authors.
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Abstract
Rhythmic flickering visual stimulation produces steady-state visually evoked potentials (SSVEPs) in electroencephalogram (EEG) recordings. Based on electrode-level analyses, two dichotomous models of the underpinning mechanisms leading to SSVEP generation have been proposed: entrainment or superposition, i.e., phase-alignment or independence of endogenous brain oscillations from flicker-induced oscillations, respectively. Electrode-level analyses, however, represent an averaged view of underlying 'source-level' activity, at which variability in SSVEPs may lie, possibly suggesting the co-existence of multiple mechanisms. To probe this idea, we investigated the variability of SSVEPs derived from the sources underpinning scalp EEG responses during presentation of a flickering radial checkerboard. Flicker was presented between 6 and 12 Hz in 1 Hz steps, and at individual alpha frequency (IAF i.e., the dominant frequency of endogenous alpha oscillatory activity). We tested whether sources of endogenous alpha activity could be dissociated according to evoked responses to different flicker frequencies relative to IAF. Occipitoparietal sources were identified by temporal independent component analysis, maximal resting-state alpha power at IAF and source localisation. The pattern of SSVEPs to rhythmic flicker relative to IAF was estimated by correlation coefficients, describing the correlation between the peak-to-peak amplitude of the SSVEP and the absolute distance of the flicker frequency from IAF across flicker conditions. We observed extreme variability in correlation coefficients across sources, ranging from -0.84 to 0.93, with sources showing largely different coefficients co-existing within subjects. This result demonstrates variation in evoked responses to flicker across sources of endogenous alpha oscillatory activity. Data support the idea of multiple SSVEP mechanisms.
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