Next Article in Journal
Altered Neuronal Dynamics in the Striatum on the Behavior of Huntingtin Interacting Protein 14 (HIP14) Knockout Mice
Next Article in Special Issue
Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems
Previous Article in Journal / Special Issue
Patient Machine Interface for the Control of Mechanical Ventilation Devices
Article Menu

Export Article

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

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

NeuroImage Nord, Department of Systems Neuroscience, University Medical Center Hamburg Eppendorf, Martinistrasse 52, D-20246 Hamburg, Germany
Author to whom correspondence should be addressed.
Received: 19 August 2013 / Revised: 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)
View Full-Text   |   Download PDF [936 KB, uploaded 18 November 2013]   |  


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 (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Brain Sci. EISSN 2076-3425 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top