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



Mirfathollahi A1, 2 ; Ghodrati MT2 ; Shalchyan V2 ; Zarrindast MR1, 3 ; Daliri MR1, 2
Authors
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Authors Affiliations
  1. 1. Institute for Cognitive Science Studies (ICSS), Tehran, Pardis, 16583- 44575, Iran
  2. 2. Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Narmak, 16846-13114, Iran
  3. 3. Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, 14166-34793, Iran

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