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Utilizing High Gamma (HG) Band Power Changes as a Control Signal for Non-Invasive BCI

  • M. Smith
  • K. Weaver
  • T. Grabowski
  • F. Darvas
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Current electroencephalography (EEG) Brain-Computer Interface (BCI) methods typically use control signals (P300, modulated slow cortical potentials, mu or beta rhythm) that suffer from a slow time scale, low signal to noise ratio, and/or low spatial resolution. High gamma oscillations (70–150 Hz; HG) are rapidly evolving, spatially localized signals and recent studies have shown that EEG can reliably detect task-related HG power changes. In this chapter, we discuss how we capitalize on EEG resolved HG as a control signal for BCI. We use functional magnetic resonance imaging (fMRI) to impose spatial constraints in an effort to improve the signal to noise ratio across the HG band. The overall combination lends itself to a fast-responding, dynamic BCI.

Keywords

Motor Imagery Blood Oxygenation Level Dependent Blood Oxygenation Level Dependent Response High Gamma Slow Cortical Potential 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© The Author(s) 2013

Authors and Affiliations

  1. 1.Department of Neurobiology and BehaviorUniversity of WashingtonSeattleUS
  2. 2.Department of RadiologyUniversity of WashingtonSeattleUS
  3. 3.Department of NeurologyUniversity of WashingtonSeattleUS
  4. 4.Department of Neurological SurgeryUniversity of WashingtonSeattleUS

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