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Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex
How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such hand gestures or playing piano)? Motor cortical activity was recorded using intracortical multi-electrode arrays in two people with tetraplegia as they attempted single, pairwise...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592742/ https://www.ncbi.nlm.nih.gov/pubmed/37873182 http://dx.doi.org/10.1101/2023.10.11.561982 |
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author | Shah, Nishal P. Avansino, Donald Kamdar, Foram Nicolas, Claire Kapitonava, Anastasia Vargas-Irwin, Carlos Hochberg, Leigh Pandarinath, Chethan Shenoy, Krishna Willett, Francis R Henderson, Jaimie |
author_facet | Shah, Nishal P. Avansino, Donald Kamdar, Foram Nicolas, Claire Kapitonava, Anastasia Vargas-Irwin, Carlos Hochberg, Leigh Pandarinath, Chethan Shenoy, Krishna Willett, Francis R Henderson, Jaimie |
author_sort | Shah, Nishal P. |
collection | PubMed |
description | How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such hand gestures or playing piano)? Motor cortical activity was recorded using intracortical multi-electrode arrays in two 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 was normalized, preventing a large magnitude with an increasing number of moving fingers. Second, the neural tuning direction of weakly represented fingers (e.g. middle) changed significantly as a result of the movement of other fingers. These deviations from linearity resulted in non-linear methods outperforming linear methods for neural decoding. Overall, simultaneous finger movements are thus represented by the combination of individual finger movements by pseudo-linear summation. |
format | Online Article Text |
id | pubmed-10592742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105927422023-10-24 Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex Shah, Nishal P. Avansino, Donald Kamdar, Foram Nicolas, Claire Kapitonava, Anastasia Vargas-Irwin, Carlos Hochberg, Leigh Pandarinath, Chethan Shenoy, Krishna Willett, Francis R Henderson, Jaimie bioRxiv Article How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such hand gestures or playing piano)? Motor cortical activity was recorded using intracortical multi-electrode arrays in two 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 was normalized, preventing a large magnitude with an increasing number of moving fingers. Second, the neural tuning direction of weakly represented fingers (e.g. middle) changed significantly as a result of the movement of other fingers. These deviations from linearity resulted in non-linear methods outperforming linear methods for neural decoding. Overall, simultaneous finger movements are thus represented by the combination of individual finger movements by pseudo-linear summation. Cold Spring Harbor Laboratory 2023-10-12 /pmc/articles/PMC10592742/ /pubmed/37873182 http://dx.doi.org/10.1101/2023.10.11.561982 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Shah, Nishal P. Avansino, Donald Kamdar, Foram Nicolas, Claire Kapitonava, Anastasia Vargas-Irwin, Carlos Hochberg, Leigh Pandarinath, Chethan Shenoy, Krishna Willett, Francis R Henderson, Jaimie Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex |
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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592742/ https://www.ncbi.nlm.nih.gov/pubmed/37873182 http://dx.doi.org/10.1101/2023.10.11.561982 |
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