Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30113
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation
Author(s): Keitel, Christian
Thut, Gregor
Gross, Joachim
Keywords: Brain oscillation
Brain-computer interface
Entrainment
Frequency tagging
Non-invasive brain stimulation (NIBS)
Steady-state response (SSR)
Issue Date: 1-Feb-2017
Citation: Keitel C, Thut G & Gross J (2017) Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation. NeuroImage, 146 (1), pp. 58-70. https://doi.org/10.1016/j.neuroimage.2016.11.043
Abstract: Neural processing of dynamic continuous visual input, and cognitive influences thereon, are frequently studied in paradigms employing strictly rhythmic stimulation. However, the temporal structure of natural stimuli is hardly ever fully rhythmic but possesses certain spectral bandwidths (e.g. lip movements in speech, gestures). Examining periodic brain responses elicited by strictly rhythmic stimulation might thus represent ideal, yet isolated cases. Here, we tested how the visual system reflects quasi-rhythmic stimulation with frequencies continuously varying within ranges of classical theta (4–7Hz), alpha (8–13Hz) and beta bands (14–20Hz) using EEG. Our findings substantiate a systematic and sustained neural phase-locking to stimulation in all three frequency ranges. Further, we found that allocation of spatial attention enhances EEG-stimulus locking to theta- and alpha-band stimulation. Our results bridge recent findings regarding phase locking (“entrainment”) to quasi-rhythmic visual input and “frequency-tagging” experiments employing strictly rhythmic stimulation. We propose that sustained EEG-stimulus locking can be considered as a continuous neural signature of processing dynamic sensory input in early visual cortices. Accordingly, EEG-stimulus locking serves to trace the temporal evolution of rhythmic as well as quasi-rhythmic visual input and is subject to attentional bias.
DOI Link: 10.1016/j.neuroimage.2016.11.043
Rights: This article is available under the terms of the Creative Commons Attribution License (CC BY - https://creativecommons.org/licenses/by/4.0/). You may copy and distribute the article, create extracts, abstracts and new works from the article, alter and revise the article, text or data mine the article and otherwise reuse the article commercially (including reuse and/or resale of the article) without permission from Elsevier. You must give appropriate credit to the original work, together with a link to the formal publication through the relevant DOI and a link to the Creative Commons user license above. You must indicate if any changes are made but not in any way that suggests the licensor endorses you or your use of the work.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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