Evolution of Gross Forelimb and Fine Digit Kinematics during Skilled Reaching Acquisition in Rats
| Autor: | Daniel K. Leventhal, Kenneth Ferris, Alexandra Bova |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Skilled reaching skilled reaching Kinematics Upper Extremity Forelimb medicine Animals Learning rat Motor skill Fine motor General Neuroscience General Medicine Numerical digit Biomechanical Phenomena Rats medicine.anatomical_structure kinematics Motor Skills Sensory and Motor Systems motion tracking Motor learning motor learning Research Article: New Research Cognitive psychology |
| Zdroj: | eNeuro |
| ISSN: | 2373-2822 |
| Popis: | The ability to learn dexterous motor skills is a fundamental aspect of human behavior. However, the underlying neural circuit mechanisms for dexterous skill learning are unclear. Advancing our understanding of motor skill learning requires the integration of modern neuroscientific techniques with a rigorously characterized dexterous task. The development of automated rodent skilled reaching with paw tracking allows detailed analysis of how reach-to-grasp kinematics evolve during learning. We assessed how both “gross” forelimb and “fine” digit kinematics changed as rats learned skilled reaching. Rats whose success rates increased (learners) consistently reduced the variability in their reach trajectories. Refinement of fine digit control generally continued after consistency in gross hand transport to the pellet plateaued. Interestingly, most rats whose success rates did not increase (non-learners) also converged on consistent reach kinematics. Some non-learners, however, maintained substantial variability in hand and digit trajectories throughout training. These results suggest that gross and fine motor components of dexterous skill are, on average, learned over different timescales. Nonetheless, there is significant intersubject variability in learning rates as assessed by both reaching success and consistency of reach kinematics. |
| Databáze: | OpenAIRE |
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