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Journal article
Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics
International journal of molecular sciences, v 22(13), p6835
01 Jul 2021
PMID: 34202085
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Neuronal circuits in the spinal cord are essential for the control of locomotion. They integrate supraspinal commands and afferent feedback signals to produce coordinated rhythmic muscle activations necessary for stable locomotion. For several decades, computational modeling has complemented experimental studies by providing a mechanistic rationale for experimental observations and by deriving experimentally testable predictions. This symbiotic relationship between experimental and computational approaches has resulted in numerous fundamental insights. With recent advances in molecular and genetic methods, it has become possible to manipulate specific constituent elements of the spinal circuitry and relate them to locomotor behavior. This has led to computational modeling studies investigating mechanisms at the level of genetically defined neuronal populations and their interactions. We review literature on the spinal locomotor circuitry from a computational perspective. By reviewing examples leading up to and in the age of molecular genetics, we demonstrate the importance of computational modeling and its interactions with experiments. Moving forward, neuromechanical models with neuronal circuitry modeled at the level of genetically defined neuronal populations will be required to further unravel the mechanisms by which neuronal interactions lead to locomotor behavior.
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Details
- Title
- Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics
- Creators
- Jessica Ausborn - Drexel UniversityNatalia A. Shevtsova - Drexel UniversitySimon M. Danner - Drexel University
- Publication Details
- International journal of molecular sciences, v 22(13), p6835
- Publisher
- Mdpi
- Number of pages
- 15
- Grant note
- R01 NS115900; R01 NS112304; R01 NS118562; R01 NS110550; R01 NS100928 / National Institute of Health (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000670973000001
- Scopus ID
- 2-s2.0-85108402549
- Other Identifier
- 991019168061804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemistry & Molecular Biology
- Chemistry, Multidisciplinary