Magnitude squared of coherence to detect imaginary movement

Authors:
Sady Antônio Santos Filho;Carlos Julio Tierra-Criollo;Ana Paula Souza;Marcos Antonio Silva Pinto;Maria Luiza Cunha Lima;Gilberto Mastrocola Manzano
Affiliations:
Biomedical Engineering Studies and Research Group, Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Biomedical Engineering Studies and Research Group, Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Biomedical Engineering Studies and Research Group, Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Biomedical Engineering Studies and Research Group, Department of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Department of Arts and Social Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil;Department of Neurology, Federal University of São Paulo, São Paulo, SP, Brazil
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on statistical signal processing in neuroscience
Year:
2009

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Abstract

This work investigates the Magnitude Squared of Coherence (MSC) for detection of Event Related Potentials (ERPs) related to left-hand index finger movement. Initially, ERP presence was examined in different brain areas. To accomplish that, 20 EEG channels were used, positioned according to the 10-20 international system. The grand average, resulting from 10 normal subjects showed, as expected, responses at frontal, central, and parietal areas, particularly evident at the central area (C3, C4, Cz). The MSC, applied to movement imagination related EEG signals, detected a consistent response in frequencies around 0.3-1Hz (delta band), mainly at central area (C3, Cz, and C4). Ability differences in control imagination among subjects produced different detection performance. Some subjects needed up to 45 events for a detectable response, while for some others only 10 events proved sufficient. Some subjects also required two or three experimental sessions in order to achieve detectable responses. For one subject, response detection was not possible at all. However, due to brain plasticity, it is plausible to expect that training sessions (to practice movement imagination) improve signal-noise ratio and lead to better detection using MSC. Results are sufficiently encouraging as to suggest further exploration of MSC for future BCI application.