Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching
Neurons in the Primary Motor Cortex (MI) are known to form functional ensembles with one another in order to produce voluntary movement. Neural network changes during skill learning are thought to be involved in improved fluency and accuracy of motor tasks. Unforced errors during skilled tasks provi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | en_US |
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Hindawi Pub. Corp.
2012
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| Online Access: | http://hdl.handle.net/1721.1/69818 https://orcid.org/0000-0003-2668-7819 |
| _version_ | 1826203607060447232 |
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| author | Putrino, David F. Chen, Zhe Ghosh, Soumya Brown, Emery N. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Putrino, David F. Chen, Zhe Ghosh, Soumya Brown, Emery N. |
| author_sort | Putrino, David F. |
| collection | MIT |
| description | Neurons in the Primary Motor Cortex (MI) are known to form functional ensembles with one another in order to produce voluntary movement. Neural network changes during skill learning are thought to be involved in improved fluency and accuracy of motor tasks. Unforced errors during skilled tasks provide an avenue to study network connections related to motor learning. In order to investigate network activity in MI, microwires were implanted in the MI of cats trained to perform a reaching task. Spike trains from eight groups of simultaneously recorded cells (95 neurons in total) were acquired. A point process generalized linear model (GLM) was developed to assess simultaneously recorded cells for functional connectivity during reaching attempts where unforced errors or no errors were made. Whilst the same groups of neurons were often functionally connected regardless of trial success, functional connectivity between neurons was significantly different at fine time scales when the outcome of task performance changed. Furthermore, connections were shown to be significantly more robust across multiple latencies during successful trials of task performance. The results of this study indicate that reach-related neurons in MI form dynamic spiking dependencies whose temporal features are highly sensitive to unforced movement errors. |
| first_indexed | 2024-09-23T12:39:58Z |
| format | Article |
| id | mit-1721.1/69818 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:39:58Z |
| publishDate | 2012 |
| publisher | Hindawi Pub. Corp. |
| record_format | dspace |
| spelling | mit-1721.1/698182022-10-01T10:22:26Z Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching Putrino, David F. Chen, Zhe Ghosh, Soumya Brown, Emery N. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Brown, Emery N. Brown, Emery N. Putrino, David F. Chen, Zhe Neurons in the Primary Motor Cortex (MI) are known to form functional ensembles with one another in order to produce voluntary movement. Neural network changes during skill learning are thought to be involved in improved fluency and accuracy of motor tasks. Unforced errors during skilled tasks provide an avenue to study network connections related to motor learning. In order to investigate network activity in MI, microwires were implanted in the MI of cats trained to perform a reaching task. Spike trains from eight groups of simultaneously recorded cells (95 neurons in total) were acquired. A point process generalized linear model (GLM) was developed to assess simultaneously recorded cells for functional connectivity during reaching attempts where unforced errors or no errors were made. Whilst the same groups of neurons were often functionally connected regardless of trial success, functional connectivity between neurons was significantly different at fine time scales when the outcome of task performance changed. Furthermore, connections were shown to be significantly more robust across multiple latencies during successful trials of task performance. The results of this study indicate that reach-related neurons in MI form dynamic spiking dependencies whose temporal features are highly sensitive to unforced movement errors. National Science Foundation (U.S.) (Grant DP1-OD003646) National Science Foundation (U.S.) (R01- DA015644) Australian Neuromuscular Research Institute 2012-03-21T20:32:07Z 2012-03-21T20:32:07Z 2011-08 2011-07 Article http://purl.org/eprint/type/JournalArticle 0792-8483 1687-5443 http://hdl.handle.net/1721.1/69818 Putrino, David F. et al. “Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching.” Neural Plasticity 2011 (2011): 1–15. https://orcid.org/0000-0003-2668-7819 en_US http://dx.doi.org/10.1155/2011/413543 Neural Plasticity Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 application/pdf Hindawi Pub. Corp. Hindawi |
| spellingShingle | Putrino, David F. Chen, Zhe Ghosh, Soumya Brown, Emery N. Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title | Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title_full | Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title_fullStr | Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title_full_unstemmed | Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title_short | Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching |
| title_sort | motor cortical networks for skilled movements have dynamic properties that are related to accurate reaching |
| url | http://hdl.handle.net/1721.1/69818 https://orcid.org/0000-0003-2668-7819 |
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