Research ExplorerPublicationsA brain-computer-interface for the detection and modulation ...

A brain-computer-interface for the detection and modulation of gamma band activity

Standard

A brain-computer-interface for the detection and modulation of gamma band activity. / Salari, Neda; Rose, Michael.

In: BRAIN SCI, Vol. 3, No. 4, 2013, p. 1569-87.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Salari, N & Rose, M 2013, 'A brain-computer-interface for the detection and modulation of gamma band activity', BRAIN SCI, vol. 3, no. 4, pp. 1569-87. https://doi.org/10.3390/brainsci3041569

APA

Salari, N., & Rose, M. (2013). A brain-computer-interface for the detection and modulation of gamma band activity. BRAIN SCI, 3(4), 1569-87. https://doi.org/10.3390/brainsci3041569

Vancouver

Salari N, Rose M. A brain-computer-interface for the detection and modulation of gamma band activity. BRAIN SCI. 2013;3(4):1569-87. https://doi.org/10.3390/brainsci3041569

Bibtex

@article{3a0317e8061c446c8031bc58cd6b5453,
title = "A brain-computer-interface for the detection and modulation of gamma band activity",
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.",
author = "Neda Salari and Michael Rose",
year = "2013",
doi = "10.3390/brainsci3041569",
language = "English",
volume = "3",
pages = "1569--87",
journal = "BRAIN SCI",
issn = "2076-3425",
publisher = "MDPI AG",
number = "4",

}

RIS

TY - JOUR

T1 - A brain-computer-interface for the detection and modulation of gamma band activity

AU - Salari, Neda

AU - Rose, Michael

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.3390/brainsci3041569

DO - 10.3390/brainsci3041569

M3 - SCORING: Journal article

C2 - 24961621

VL - 3

SP - 1569

EP - 1587

JO - BRAIN SCI

JF - BRAIN SCI

SN - 2076-3425

IS - 4

ER -