Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement
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 inf...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223018850 |
| _version_ | 1797647857815126016 |
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| author | Alavie Mirfathollahi Mohammad Taghi Ghodrati Vahid Shalchyan Mohammad Reza Zarrindast Mohammad Reza Daliri |
| author_facet | Alavie Mirfathollahi Mohammad Taghi Ghodrati Vahid Shalchyan Mohammad Reza Zarrindast Mohammad Reza Daliri |
| author_sort | Alavie Mirfathollahi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T15:23:39Z |
| format | Article |
| id | doaj.art-eef0811d9c1146bdaf08123eaddb205b |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-03-11T15:23:39Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-eef0811d9c1146bdaf08123eaddb205b2023-10-28T05:08:34ZengElsevieriScience2589-00422023-10-012610107808Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movementAlavie Mirfathollahi0Mohammad Taghi Ghodrati1Vahid Shalchyan2Mohammad Reza Zarrindast3Mohammad Reza Daliri4Institute 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, IranNeuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846-13114, IranNeuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846-13114, IranInstitute for Cognitive Science Studies (ICSS), Pardis 16583- 44575 Tehran, Iran; Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran 14166-34793, IranInstitute 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; Corresponding authorSummary: 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.http://www.sciencedirect.com/science/article/pii/S2589004223018850KinematicsBehavioral neuroscienceSensory neuroscience |
| spellingShingle | Alavie Mirfathollahi Mohammad Taghi Ghodrati Vahid Shalchyan Mohammad Reza Zarrindast Mohammad Reza Daliri Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement iScience Kinematics Behavioral neuroscience Sensory neuroscience |
| title | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| title_full | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| title_fullStr | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| title_full_unstemmed | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| title_short | Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| title_sort | decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement |
| topic | Kinematics Behavioral neuroscience Sensory neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223018850 |
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