The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Entrainment of Perceptually Relevant Brain Oscillations by Non-Invasive Rhythmic Stimulation of the Human Brain
Open accessAbstract
The notion of driving brain oscillations by directly stimulating neuronal elements with rhythmic stimulation protocols has become increasingly popular in research on brain rhythms. Induction of brain oscillations in a controlled and functionally meaningful way would likely prove highly beneficial for the study of brain oscillations, and their therapeutic control. We here review conventional and new non-invasive brain stimulation protocols as to their suitability for controlled intervention into human brain oscillations. We focus on one such type of intervention, the direct entrainment of brain oscillations by a periodic external drive. We review highlights of the literature on entraining brain rhythms linked to perception and attention, and point out controversies. Behaviourally, such entrainment seems to alter specific aspects of perception depending on the frequency of stimulation, informing models on the functional role of oscillatory activity. This indicates that human brain oscillations and function may be promoted in a controlled way by focal entrainment, with great potential for probing into brain oscillations and their causal role.
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Metadata
- Authors
- Thut, G., Schyns, P. G., & Gross, J.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 2
- Pages
- 170-170
- ISSN
- 1664-1078 (ISSN-L)
- OpenAlex
- W2044971011
- Cited by
- 560
- References
- 87
- FWCI
- 7.99
- Type
- journal article
- Language
- en
- Open access
- gold
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- Thut, G., Schyns, P. G., & Gross, J. (2011). Entrainment of Perceptually Relevant Brain Oscillations by Non-Invasive Rhythmic Stimulation of the Human Brain. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2011.00170
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.