Mirfathollahi Alavie, Ghodrati Mohammad Taghi, Shalchyan Vahid, Zarrindast Mohammad Reza, Daliri Mohammad Reza
Institute for Cognitive Science Studies (ICSS), Pardis 16583- 44575 Tehran, Iran.
Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846-13114, Iran.
iScience. 2023 Sep 1;26(10):107808. doi: 10.1016/j.isci.2023.107808. eCollection 2023 Oct 20.
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.
初级体感皮层(S1)的2区编码肢体的本体感觉信息。多项研究对该区域运动参数的编码进行了调查。然而,这些参数的单试次解码尚未得到充分研究,单试次解码可以提供关于该区域子区域中有关瞬时肢体运动的可用信息量的额外知识。我们使用传统解码器和基于状态的解码器,在中心向外任务期间解码主动和被动手部运动的运动学和动力学参数。我们的结果表明,该区域可用于准确解码手的位置、速度、力、力矩和关节角度。与动力学相比,运动学具有更高的解码准确率,并且主动试次的解码比被动试次更准确。虽然在主动任务中基于状态的解码器优于传统解码器,但在被动任务中情况相反。这些结果可用于皮层内微刺激程序,为脑机接口受试者提供本体感觉反馈。