Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

Maitreyee Wairagkar, Yoshikatsu Hayashi and Slawomir J Nasuto

PLOS ONE, 2018, vol. 13, issue 3, 1-23

Abstract: Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with the environment. The aim of this paper is to investigate the temporal dynamics of brain processes using electroencephalography (EEG) to explore novel neural correlates of motion intention. We investigate the changes in temporal dependencies of the EEG by characterising the decay of autocorrelation during asynchronous voluntary finger tapping movement. The evolution of the autocorrelation function is characterised by its relaxation time, which is used as a robust marker for motion intention. We observed that there was reorganisation of temporal dependencies in EEG during motion intention. The autocorrelation decayed slower during movement intention and faster during the resting state. There was an increase in temporal dependence during movement intention. The relaxation time of the autocorrelation function showed significant (p

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0193722

DOI: 10.1371/journal.pone.0193722

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