Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex
Abstract How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such as hand gestures, or playing the piano)? To address this question, motor cortical activity was recorded using intracortical multi-electrode arrays in two male people wit...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-59039-z |
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| author | Nishal P. Shah Donald Avansino Foram Kamdar Claire Nicolas Anastasia Kapitonava Carlos Vargas-Irwin Leigh R. Hochberg Chethan Pandarinath Krishna V. Shenoy Francis R. Willett Jaimie M. Henderson |
| author_facet | Nishal P. Shah Donald Avansino Foram Kamdar Claire Nicolas Anastasia Kapitonava Carlos Vargas-Irwin Leigh R. Hochberg Chethan Pandarinath Krishna V. Shenoy Francis R. Willett Jaimie M. Henderson |
| author_sort | Nishal P. Shah |
| collection | DOAJ |
| description | Abstract How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such as hand gestures, or playing the piano)? To address this question, motor cortical activity was recorded using intracortical multi-electrode arrays in two male people with tetraplegia as they attempted single, pairwise and higher-order finger movements. Neural activity for simultaneous movements was largely aligned with linear summation of corresponding single finger movement activities, with two violations. First, the neural activity exhibited normalization, preventing a large magnitude with an increasing number of moving fingers. Second, the neural tuning direction of weakly represented fingers changed significantly as a result of the movement of more strongly represented fingers. These deviations from linearity resulted in non-linear methods outperforming linear methods for neural decoding. Simultaneous finger movements are thus represented by the combination of individual finger movements by pseudo-linear summation. |
| format | Article |
| id | doaj-art-e4e2ee719cf04affad3635e114e71e38 |
| institution | DOAJ |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-e4e2ee719cf04affad3635e114e71e382025-08-20T03:22:11ZengNature PortfolioNature Communications2041-17232025-05-0116111510.1038/s41467-025-59039-zPseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortexNishal P. Shah0Donald Avansino1Foram Kamdar2Claire Nicolas3Anastasia Kapitonava4Carlos Vargas-Irwin5Leigh R. Hochberg6Chethan Pandarinath7Krishna V. Shenoy8Francis R. Willett9Jaimie M. Henderson10Department of Neurosurgery, Stanford UniversityDepartment of Neurosurgery, Stanford UniversityDepartment of Neurosurgery, Stanford UniversityCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical SchoolCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical SchoolVA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Providence VA Medical CenterCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical SchoolWallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of TechnologyHoward Hughes Medical Institute at Stanford UniversityDepartment of Neurosurgery, Stanford UniversityDepartment of Neurosurgery, Stanford UniversityAbstract How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such as hand gestures, or playing the piano)? To address this question, motor cortical activity was recorded using intracortical multi-electrode arrays in two male people with tetraplegia as they attempted single, pairwise and higher-order finger movements. Neural activity for simultaneous movements was largely aligned with linear summation of corresponding single finger movement activities, with two violations. First, the neural activity exhibited normalization, preventing a large magnitude with an increasing number of moving fingers. Second, the neural tuning direction of weakly represented fingers changed significantly as a result of the movement of more strongly represented fingers. These deviations from linearity resulted in non-linear methods outperforming linear methods for neural decoding. Simultaneous finger movements are thus represented by the combination of individual finger movements by pseudo-linear summation.https://doi.org/10.1038/s41467-025-59039-z |
| spellingShingle | Nishal P. Shah Donald Avansino Foram Kamdar Claire Nicolas Anastasia Kapitonava Carlos Vargas-Irwin Leigh R. Hochberg Chethan Pandarinath Krishna V. Shenoy Francis R. Willett Jaimie M. Henderson Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex Nature Communications |
| title | Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex |
| title_full | Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex |
| title_fullStr | Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex |
| title_full_unstemmed | Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex |
| title_short | Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex |
| title_sort | pseudo linear summation explains neural geometry of multi finger movements in human premotor cortex |
| url | https://doi.org/10.1038/s41467-025-59039-z |
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