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Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement

Authors :
Alavie Mirfathollahi
Mohammad Taghi Ghodrati
Vahid Shalchyan
Mohammad Reza Zarrindast
Mohammad Reza Daliri
Source :
iScience, Vol 26, Iss 10, Pp 107808- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Area 2 of the primary somatosensory cortex (S1), encodes proprioceptive information of limbs. Several studies investigated the encoding of movement parameters in this area. However, the single-trial decoding of these parameters, which can provide additional knowledge about the amount of information available in sub-regions of this area about instantaneous limb movement, has not been well investigated. We decoded kinematic and kinetic parameters of active and passive hand movement during center-out task using conventional and state-based decoders. Our results show that this area can be used to accurately decode position, velocity, force, moment, and joint angles of hand. Kinematics had higher accuracies compared to kinetics and active trials were decoded more accurately than passive trials. Although the state-based decoder outperformed the conventional decoder in the active task, it was the opposite in the passive task. These results can be used in intracortical micro-stimulation procedures to provide proprioceptive feedback to BCI subjects.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
10
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.f0811d9c1146bdaf08123eaddb205b
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.107808