98%
921
2 minutes
20
In this study, we utilized transformed spatial mappings to perturb visuomotor integration in 5-yr-old children and adults. The participants were asked to perform pointing movements under five different conditions of visuomotor rotation (from 0° to 180°), which were designed to reveal explicit vs. implicit representations as well as the mechanisms underlying the visual-motor mapping. Several tests allowed us to separately evaluate sensorimotor (i.e., the dynamic dimension of movement) and cognitive (i.e., the explicit representations of target position and the strategies used by the participants) representations of visuo-proprioceptive distortion. Our results indicate that children do not establish representations in the same manner as adults and that children exhibit multiple visuomotor representations. Sensorimotor representations were relatively precise, presumably due to the recovery of proprioceptive information and efferent copy. Furthermore, a bidirectional mechanism was used to re-map visual and motor spaces. In contrast, cognitive representations were supplied with visual information and followed a unidirectional visual-motor mapping. Therefore, it appears that sensorimotor mechanisms develop before the use of explicit strategies during development, and young children showed impaired visuomotor adaptation when confronted with large distortions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.humov.2012.02.016 | DOI Listing |
J Neurophysiol
September 2025
School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Limiting cognitive resources negatively impacts motor learning, but its cognitive mechanism is still unclear. Previous studies failed to differentiate its effect on explicit (or cognitive) and implicit (or procedural) aspects of motor learning. Here, we designed a dual-task paradigm requiring participants to simultaneously perform a visual working memory task and a visuomotor rotation adaptation task to investigate how cognitive load differentially impacted explicit and implicit motor learning.
View Article and Find Full Text PDFNeuroimage
August 2025
Movement & Neuroscience, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark. Electronic address:
Learning a new motor skill relies on functional reorganization of the human central nervous system (CNS). Plasticity may shape the transmission and communication between cortical regions and between cortical and spinal networks involved in sensorimotor control, but little is known about the influence of age on these adaptations. In a series of experiments, we investigated whether changes in cortical and corticospinal functional connectivity following motor practice differ among individuals at different stages of development (age range 8-30 years old).
View Article and Find Full Text PDFJ Neurophysiol
August 2025
Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA.
Previous research has demonstrated significant inter-individual variability in the recruitment of the fast-explicit and slow-implicit processes during motor adaptation. In addition, we previously identified qualitative individual differences in adaptation linked to the formation and updating of new memory processes. Here, we investigated quantitative and qualitative differences in visuomotor adaptation with a design incorporating repeated learning and forgetting blocks, allowing for precise estimation of individual learning and forgetting rates in fast-slow adaptation models.
View Article and Find Full Text PDFPercept Mot Skills
August 2025
Department of Sport Sciences, Sports Research Centre, Miguel Hernandez University of Elche, Elche, Spain.
The scientific literature highlights the significance of human motor variability in understanding motor control, learning, and neurological disorders. Visuomotor tasks in laboratory settings offer a controlled platform for studying motor variability, but the specialized equipment used for these tasks limits their accessibility and generalizability. Thus, this study aimed to develop an accessible, standardized mouse-based task for home-based assessment of motor variability characteristics.
View Article and Find Full Text PDFEur J Neurosci
August 2025
Hulusi Behçet Life Sciences Research Laboratory, Istanbul University, Istanbul, Turkey.
Large-scale intrinsic connectivity networks (ICNs) flexibly reconfigure in response to changing task demands, enabling adaptive cognitive functions. The study aimed to determine whether ICNs exhibit selective, task-sensitive reorganization across different cognitive domains, rather than uniform shifts in network architecture. For this purpose, we examined how ICNs reorganize during visuomotor integration, response control, and working memory domains, which are expected to engage different network configurations.
View Article and Find Full Text PDF