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Dynamics of movement‐related cortical potentials and sensorimotor oscillations during palmar grasp movements
Author(s) -
Savić Andrej M.,
Lontis Eugen R.,
MrachaczKersting Natalie,
Popović Mirjana B.
Publication year - 2020
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.14629
Subject(s) - electroencephalography , grasp , electromyography , movement (music) , context (archaeology) , brain–computer interface , neurophysiology , motor imagery , psychology , neuroscience , computer science , artificial intelligence , pattern recognition (psychology) , speech recognition , paleontology , philosophy , biology , programming language , aesthetics
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.