The integration of probabilistic information during sensorimotor estimation is unimpaired in children with Cerebral Palsy.

ABSTRACT: BACKGROUND:It is important to understand the motor deficits of children with Cerebral Palsy (CP). Our understanding of this motor disorder can be enriched by computational models of motor control. One crucial stage in generating movement involves combining uncertain information from different sources, and deficits in this process could contribute to reduced motor function in children with CP. Healthy adults can integrate previously-learned information (prior) with incoming sensory information (likelihood) in a close-to-optimal way when estimating object location, consistent with the use of Bayesian statistics. However, there are few studies investigating how children with CP perform sensorimotor integration. We compare sensorimotor estimation in children with CP and age-matched controls us

SUBMITTER: Chambers C 

PROVIDER: S-EPMC5706703 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature