Journal article
Skilled hindlimb reaching task in rats as a platform for a brain-machine interface to restore motor function after complete spinal cord injury
Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2011, pp 6315-6318
2011
PMID: 22255782
Abstract
Behavioral tasks utilized as models for decoding neural activity for use in brain-machine interfaces are constrained primarily to forelimb tasks or locomotion. We present here our methodology for training adult rats in a novel skilled hindlimb 'reaching' task in which the animal is trained to make different types of hindlimb movements. 6 adult Long-Evans rats were trained to make variable duration (<1 or >1.5 s) hindlimb presses cued by a spatially-independent visual cue. 5 of 6 animals (83.3%) were able to learn the task to proficiency. The training paradigm introduced here serves as a platform to investigate the ability of the animal to transfer motor cortical activity in response to a cue originally generated during normal movments, to a novel context in the absecense of movement and ultimately after complete mid-thoracic spinal cord transection. We also present preliminary results of offline classification of neural activity during trial performance for two trained animals.
Metrics
Details
- Title
- Skilled hindlimb reaching task in rats as a platform for a brain-machine interface to restore motor function after complete spinal cord injury
- Creators
- Eric B Knudsen - School of Biomedical Engineering, Drexel University, Philadelphia, PA 19104, USA. ek89@drexel.eduKaren A MoxonElliot B SturgisJed S Shumsky
- Publication Details
- Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2011, pp 6315-6318
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE); United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000298810004305
- Scopus ID
- 2-s2.0-84864629704
- Other Identifier
- 1424441226; 1457715899; 9781457715891; 9781424441228; 991014877763904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic