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Brain Sci. 2013, 3(4), 1569-1587; doi:10.3390/brainsci3041569

A Brain-Computer-Interface for the Detection and Modulation of Gamma Band Activity

 and *
Received: 19 August 2013; in revised form: 6 November 2013 / Accepted: 8 November 2013 / Published: 18 November 2013
(This article belongs to the Special Issue Emergence of Novel Brain-Computer Interface Applications)
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Abstract: Gamma band oscillations in the human brain (around 40 Hz) play a functional role in information processing, and a real-time assessment of gamma band activity could be used to evaluate the functional relevance more directly. Therefore, we developed a source based Brain-Computer-Interface (BCI) with an online detection of gamma band activity in a selective brain region in the visual cortex. The BCI incorporates modules for online detection of various artifacts (including microsaccades) and the artifacts were continuously fed back to the volunteer. We examined the efficiency of the source-based BCI for Neurofeedback training of gamma- and alpha-band (8–12 Hz) oscillations and compared the specificity for the spatial and frequency domain. Our results demonstrated that volunteers learned to selectively switch between modulating alpha- or gamma-band oscillations and benefited from online artifact information. The analyses revealed a high level of accuracy with respect to frequency and topography for the gamma-band modulations. Thus, the developed BCI can be used to manipulate the fast oscillatory activity with a high level of specificity. These selective modulations can be used to assess the relevance of fast neural oscillations for information processing in a more direct way, i.e., by the adaptive presentation of stimuli within well-described brain states.
Keywords: brain-computer-interface; neurofeedback; gamma oscillations brain-computer-interface; neurofeedback; gamma oscillations
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Salari, N.; Rose, M. A Brain-Computer-Interface for the Detection and Modulation of Gamma Band Activity. Brain Sci. 2013, 3, 1569-1587.

AMA Style

Salari N, Rose M. A Brain-Computer-Interface for the Detection and Modulation of Gamma Band Activity. Brain Sciences. 2013; 3(4):1569-1587.

Chicago/Turabian Style

Salari, Neda; Rose, Michael. 2013. "A Brain-Computer-Interface for the Detection and Modulation of Gamma Band Activity." Brain Sci. 3, no. 4: 1569-1587.

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