Unlabelled: The early stages of motor skill acquisition are often marked by uncertainty about the sensory and motor goals of the task, as is the case in learning to speak or learning the feel of a good tennis serve. Here we present an experimental model of this early learning process, in which targets are acquired by exploration and reinforcement rather than sensory error. We use this model to investigate the relative contribution of motor and sensory factors to human motor learning. Participants make active reaching movements or matched passive movements to an unseen target using a robot arm. We find that learning through passive movements paired with reinforcement is comparable with learning associated with active movement, both in terms of magnitude and durability, with improvements due to training still observable at a 1 week retest. Motor learning is also accompanied by changes in somatosensory perceptual acuity. No stable changes in motor performance are observed for participants that train, actively or passively, in the absence of reinforcement, or for participants who are given explicit information about target position in the absence of somatosensory experience. These findings indicate that the somatosensory system dominates learning in the early stages of motor skill acquisition.
Significance Statement: The research focuses on the initial stages of human motor learning, introducing a new experimental model that closely approximates the key features of motor learning outside of the laboratory. The finding indicates that it is the somatosensory system rather than the motor system that dominates learning in the early stages of motor skill acquisition. This is important given that most of our computational models of motor learning are based on the idea that learning is motoric in origin. This is also a valuable finding for rehabilitation of patients with limited mobility as it shows that reinforcement in conjunction with passive movement results in benefits to motor learning that are as great as those observed for active movement training.
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http://dx.doi.org/10.1523/JNEUROSCI.1344-15.2015 | DOI Listing |
Phys Ther
January 2025
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States.
Objective: This study aimed to describe the monitoring of treatment fidelity in a pragmatic pediatric rehabilitation trial using the National Institutes of Health Behavior Change Consortium framework, and to identify child and therapist factors that influence treatment fidelity.
Methods: Therapists (n = 28) were trained in the key ingredients (1-on-1, functional, goal-directed, motor learning intervention) and study protocol for a comparative effectiveness trial titled: A Comparison: High Intensity periodic vs. Every week therapy in children with cerebral palsy (ACHIEVE) for children ages 2 to 8 years with cerebral palsy.
Phys Ther
January 2025
Department of Physical Medicine and Rehabilitation.
Research over the past 20 years indicates the amount of task-specific walking practice provided to individuals with stroke, brain injury, or incomplete spinal cord injury can strongly influence walking recovery. However, more recent data suggest that attention towards 2 other training parameters, including the intensity and variability of walking practice, may maximize walking recovery and facilitate gains in non-walking outcomes. The combination of these training parameters represents a stark contrast from traditional strategies, and confusion regarding the potential benefits and perceived risks may limit their implementation in clinical practice.
View Article and Find Full Text PDFArch Rehabil Res Clin Transl
December 2024
Research Centre for Nutrition, Lifestyle and Exercise, School of Physiotherapy, Zuyd University of Applied Sciences, Faculty of Health, Heerlen, The Netherlands.
Objective: To provide a broad overview of the current state of research regarding the effects of 7 commonly used motor learning strategies to improve functional tasks within older neurologic and geriatric populations.
Data Sources: PubMed, CINAHL, and Embase were searched.
Study Selection: A systematic mapping review of randomized controlled trials was conducted regarding the effectiveness of 7 motor learning strategies-errorless learning, analogy learning, observational learning, trial-and-error learning, dual-task learning, discovery learning, and movement imagery-within the geriatric and neurologic population.
PLoS One
January 2025
School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India.
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their complexity, dynamic nature, and low signal-to-noise ratio (SNR). Traditional EEG pattern recognition algorithms typically involve two key steps: feature extraction and feature classification, both crucial for accurate operation.
View Article and Find Full Text PDFNPJ Sci Learn
January 2025
Department of Neurotechnology, Medical Faculty, Ruhr-University Bochum, Universitaetsstrasse 150, Bochum, 44801, Germany.
New information that is compatible with pre-existing knowledge can be learned faster. Such schema memory effect has been reported in declarative memory and in explicit motor sequence learning (MSL). Here, we investigated if sequences of key presses that were compatible to previously trained ones, could be learned faster in an implicit MSL task.
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