Decoding Hand Kinetics and Kinematics Using Somatosensory Cortex Activity in Active and Passive Movement Publisher



Mirfathollahi A^{1, 2} ; Ghodrati MT² ; Shalchyan V² ; Zarrindast MR^{1, 3} ; Daliri MR^{1, 2} Show Affiliations
Source: iScience Published:2023

Abstract

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. © 2023 The Authors