PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Fronto-Parietal Gamma-Oscillations are a Cause of Performance Variation in Brain-Computer Interfacing
Moritz Grosse-Wentrup
In: 5th International IEEE/EMBS Conference on Neural Engineering (NE 2011) (2010) IEEE .

Abstract

In recent work, we have provided evidence that fronto-parietal gamma-oscillations of the electromagnetic field of the brain modulate the sensorimotor-rhythm. It is unclear, however, what impact this effect may have on explaining and addressing within-subject performance variations of braincomputer interfaces (BCIs). In this paper, we provide evidence that on a group-average classification accuracies in a two-class motor-imagery paradigm differ by up to 22.2% depending on the state of fronto-parietal g -power. As such, this effect may have a large impact on the design of future BCI-systems. We further investigate whether adapting classification procedures to the current state of gamma-power improves classification accuracy, and discuss other approaches to exploiting this effect.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:7854
Deposited By:Moritz Grosse-Wentrup
Deposited On:17 March 2011