Influence of EEG Tonic Changes on Motor Imagery Performance

Mauro Nascimben1, Yu-Kai Wang, Avinash Kumar Singh2, Jung-Tai King, Chin-Teng Lin

  • 1National Chiao Tung University, Brain Research Center
  • 2Brain Research Center, National Chiao Tung University

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Contributed Papers

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11:30 - 13:30 | Fri 26 May | Emerald III, Rose, Narcissus & Jasmine | FrPS1T1

Poster I

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Abstract

In Motor Imagery literature, performance predictors are commonly divided in four categories: personal, psychological, anatomical and neurophysiological. However these predictors are limited to inter-subjects changes. To overcome this limitation and evaluate intra-subjects performance, we tried to combine two groups of these measures: psychological and neurophysiological. As neurophysiological variables tonic changes in resting EEG theta and alpha sub-bands were considered. As psychological parameter we analyzed internalized attention and its correlates in lower alpha. We found that when internalized attention doesn't decrease, Motor Imagery performance outcome can be correctly predicted by resting EEG tonic variations.

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