Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography
The ability to control online motor corrections is key to dealing with unexpected changes arising in the environment with which we interact. How the CNS controls online motor corrections is poorly understood, but evidence has accumulated in favor of a submovement-based model in which apparently cont...
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| Format: | Article |
| Language: | en_US |
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MIT Press
2014
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| Online Access: | http://hdl.handle.net/1721.1/87584 |
| _version_ | 1826215376537518080 |
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| author | Dipietro, Laura Poizner, Howard Krebs, Hermano Igo |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Dipietro, Laura Poizner, Howard Krebs, Hermano Igo |
| author_sort | Dipietro, Laura |
| collection | MIT |
| description | The ability to control online motor corrections is key to dealing with unexpected changes arising in the environment with which we interact. How the CNS controls online motor corrections is poorly understood, but evidence has accumulated in favor of a submovement-based model in which apparently continuous movement is segmented into distinct submovements. Although most studies have focused on submovements' kinematic features, direct links with the underlying neural dynamics have not been extensively explored. This study sought to identify an electroencephalographic signature of submovements. We elicited kinematic submovements using a double-step displacement paradigm. Participants moved their wrist toward a target whose direction could shift mid-movement with a 50% probability. Movement kinematics and cortical activity were concurrently recorded with a low-friction robotic device and high-density electroencephalography. Analysis of spatiotemporal dynamics of brain activation and its correlation with movement kinematics showed that the production of each kinematic submovement was accompanied by (1) stereotyped topographic scalp maps and (2) frontoparietal ERPs time-locked to submovements. Positive ERP peaks from frontocentral areas contralateral to the moving wrist preceded kinematic submovement peaks by 220–250 msec and were followed by positive ERP peaks from contralateral parietal areas (140–250 msec latency, 0–80 msec before submovement peaks). Moreover, individual subject variability in the latency of frontoparietal ERP components following the target shift significantly predicted variability in the latency of the corrective submovement. Our results are in concordance with evidence for the intermittent nature of continuous movement and elucidate the timing and role of frontoparietal activations in the generation and control of corrective submovements. |
| first_indexed | 2024-09-23T16:26:21Z |
| format | Article |
| id | mit-1721.1/87584 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:26:21Z |
| publishDate | 2014 |
| publisher | MIT Press |
| record_format | dspace |
| spelling | mit-1721.1/875842022-10-02T07:59:01Z Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography Dipietro, Laura Poizner, Howard Krebs, Hermano Igo Massachusetts Institute of Technology. Department of Mechanical Engineering Dipietro, Laura Krebs, Hermano Igo The ability to control online motor corrections is key to dealing with unexpected changes arising in the environment with which we interact. How the CNS controls online motor corrections is poorly understood, but evidence has accumulated in favor of a submovement-based model in which apparently continuous movement is segmented into distinct submovements. Although most studies have focused on submovements' kinematic features, direct links with the underlying neural dynamics have not been extensively explored. This study sought to identify an electroencephalographic signature of submovements. We elicited kinematic submovements using a double-step displacement paradigm. Participants moved their wrist toward a target whose direction could shift mid-movement with a 50% probability. Movement kinematics and cortical activity were concurrently recorded with a low-friction robotic device and high-density electroencephalography. Analysis of spatiotemporal dynamics of brain activation and its correlation with movement kinematics showed that the production of each kinematic submovement was accompanied by (1) stereotyped topographic scalp maps and (2) frontoparietal ERPs time-locked to submovements. Positive ERP peaks from frontocentral areas contralateral to the moving wrist preceded kinematic submovement peaks by 220–250 msec and were followed by positive ERP peaks from contralateral parietal areas (140–250 msec latency, 0–80 msec before submovement peaks). Moreover, individual subject variability in the latency of frontoparietal ERP components following the target shift significantly predicted variability in the latency of the corrective submovement. Our results are in concordance with evidence for the intermittent nature of continuous movement and elucidate the timing and role of frontoparietal activations in the generation and control of corrective submovements. National Institutes of Health (U.S.) (R01-HD045343) National Institutes of Health (U.S.) (R01-NS036449) United States. Office of Naval Research. Multidisciplinary University Research Initiative (Award N000140811114) National Science Foundation (U.S.) (Grant SMA-1041755) onal Science Foundation (U.S.). Office of Emerging Frontiers in Research and Innovation (ENG-1137279) 2014-05-30T15:40:54Z 2014-05-30T15:40:54Z 2014-02 Article http://purl.org/eprint/type/JournalArticle 0898-929X 1530-8898 http://hdl.handle.net/1721.1/87584 Dipietro, Laura, Howard Poizner, and Hermano I. Krebs. “Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-Density Electroencephalography.” Journal of Cognitive Neuroscience (February 24, 2014): 1–15. © Massachusetts Institute of Technology en_US http://dx.doi.org/10.1162/jocn_a_00593 Journal of Cognitive Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf MIT Press MIT Press |
| spellingShingle | Dipietro, Laura Poizner, Howard Krebs, Hermano Igo Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title | Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title_full | Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title_fullStr | Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title_full_unstemmed | Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title_short | Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography |
| title_sort | spatiotemporal dynamics of online motor correction processing revealed by high density electroencephalography |
| url | http://hdl.handle.net/1721.1/87584 |
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