Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences

• Published in: Journal of neuroengineering and rehabilitation Vol. 14; no. 1; p. 74
• Main Authors: Seidler, R D, Carson, R G
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 13.07.2017; BioMed Central; BMC
• Subjects: Adaptation; Adaptation, Psychological; Aging; BANCOM; Biomechanics; Cognition; Cognition & reasoning; Cognition - physiology; Cortex (somatosensory); Dopamine; Enzymes; Exploration; Feedback; Gene expression; Genetic factors; Genetic predictors; Genomic analysis; Genotype; Genotypes; Human behavior; Human performance; Humans; Individuality; Learning; Learning - physiology; Memory; Motor learning; Motor Skills; Motor task performance; Neurotransmitters; Precision medicine; Receptors; Rehabilitation; Review; Sensorimotor performance; Sensorimotor system; SNP; Genetic predictors; Genotype; BANCOM; SNP; Motor learning; Adaptation
• ISSN: 1743-0003; 1743-0003
• DOI: 10.1186/s12984-017-0279-1

Here we provide an overview of findings and viewpoints on the mechanisms of sensorimotor learning presented at the 2016 Biomechanics and Neural Control of Movement (BANCOM) conference in Deer Creek, OH. This field has shown substantial growth in the past couple of decades. For example it is now well accepted that neural systems outside of primary motor pathways play a role in learning. Frontoparietal and anterior cingulate networks contribute to sensorimotor adaptation, reflecting strategic aspects of exploration and learning. Longer term training results in functional and morphological changes in primary motor and somatosensory cortices. Interestingly, re-engagement of strategic processes once a skill has become well learned may disrupt performance. Efforts to predict individual differences in learning rate have enhanced our understanding of the neural, behavioral, and genetic factors underlying skilled human performance. Access to genomic analyses has dramatically increased over the past several years. This has enhanced our understanding of cellular processes underlying the expression of human behavior, including involvement of various neurotransmitters, receptors, and enzymes. Surprisingly our field has been slow to adopt such approaches in studying neural control, although this work does require much larger sample sizes than are typically used to investigate skill learning. We advocate that individual differences approaches can lead to new insights into human sensorimotor performance. Moreover, a greater understanding of the factors underlying the wide range of performance capabilities seen across individuals can promote personalized medicine and refinement of rehabilitation strategies, which stand to be more effective than "one size fits all" treatments.