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. 2020 May;51(9):1962-1970.
doi: 10.1111/ejn.14629. Epub 2019 Dec 19.

Dynamics of movement-related cortical potentials and sensorimotor oscillations during palmar grasp movements

Andrej M Savić  1   2 , Eugen R Lontis  3 , Natalie Mrachacz-Kersting  4 , Mirjana B Popović  1   5
Affiliations

Dynamics of movement-related cortical potentials and sensorimotor oscillations during palmar grasp movements

Andrej M Savić et al. Eur J Neurosci. 2020 May.

Abstract

Movement-related cortical potentials (MRCP) and sensorimotor oscillatory electroencephalographic (EEG) activity (event-related desynchronization/synchronization-ERD/ERS) provide complementary information of the associated motor activity. The aim of this study was to provide comparative spatio-temporal analysis of both EEG phenomena associated with palmar grasping motions including hand opening and closing phases. Nine healthy participants were instructed to perform self-paced, right hand grasping movements. EEG was recorded from 28 sites synchronous with electromyography (EMG) of wrist/fingers extensors and flexors. Statistical analysis of the EEG data revealed significant differences (p < .05) between the idle state (baseline) and motor preparation/execution periods in majority of recorded channels. The earliest statistical significance in MRCPs was observed for channel FC3 at -460.9 ms, while the earliest significant ERD was observed at 164.1 ms for channel C3. MRCP and ERD/ERS topographies in our study are in line with the results of previous studies comparing MRCP and ERD/ERS spatio-temporal patterns during upper limb movements, however, results of our study show that MRCP significant differences compared to the baseline appear in most channels earlier than ERD (on average 613.6 ± 191.5 ms earlier). This implies an advantage of MRCP signals for grasping movements' prediction, which is in contrast to previous reports. Moreover, combined spatio-temporal information on MRCP and ERD/ERS presented in this paper may serve for future optimization of grasp movement prediction/detection hybrid algorithms in the context of restorative brain-computer interface technology.

Keywords: EEG; ERD; MRCP; grasp.

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