Dissociating neural representations of multiple learned sensorimotor mappings
- 1Department of Data Science, Hanyang University , ,
Abstract
Introduction
Previous behavioral studies demonstrate that humans can simultaneously learn to adapt to multiple conflicting rules for how our physical movements are related to the sensory feedback we receive from our environment (sensorimotor mappings). The preparation of movement (motor planning), rather than the physical movement itself (motor execution), has been shown to play a crucial role in keeping these conflicting rules distinct in our memory. However, it remains unclear how the human brain represents distinct planning and execution processes for multiple sensorimotor mappings.Methods
To address this, we designed a functional magnetic resonance imaging (fMRI) experiment to dissociate planning from execution during the learning of multiple visuomotor mappings. Crucially, our design compared brain activity when participants planned for different visual outcomes. Specifically, participants simultaneously adapted to opposite rotational perturbations (+30° and -30°) during a visuomotor task but ultimately executed the exact same physical movement.Results
Our univariate results demonstrate that the BOLD activity increases in the posterior parietal cortex (PPC) during rotational planning, supporting its involvement in processing learned sensorimotor mappings. However, using multivoxel pattern analysis (MVPA) to decode neural patterns, we found a dissociation between motor execution and rotational planning. Although the PPC and cerebellum showed distinct decodable neural patterns for opposing motor execution, we did not observe significant decoding for opposing rotational planning.Discussion
This suggests that the PPC may not represent opposing motor plans as distinct, though we cannot rule out a lack of robust decoding power due to our low trial count.
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BibTeX
@article{caraballo2026dissociating,
title = {{Dissociating neural representations of multiple learned sensorimotor mappings}},
author = {Antoine Caraballo and Sungshin Kim},
journal = {Frontiers in behavioral neuroscience},
year = {2026},
month = oct,
doi = {10.3389/fnbeh.2026.1965610},
url = {https://europepmc.org/article/PMC/PMC13716789},
note = {CC BY},
}
RIS
TY - JOUR
TI - Dissociating neural representations of multiple learned sensorimotor mappings
AU - Antoine Caraballo
AU - Sungshin Kim
PY - 2026
DA - 2026/10/15
JO - Frontiers in behavioral neuroscience
DO - 10.3389/fnbeh.2026.1965610
UR - https://europepmc.org/article/PMC/PMC13716789
AB - Introduction Previous behavioral studies demonstrate that humans can simultaneously learn to adapt to multiple conflicting rules for how our physical movements are related to the sensory feedback we receive from our environment (sensorimotor mappings). The preparation of movement (motor planning), rather than the physical movement itself (motor execution), has been shown to play a crucial role in keeping these conflicting rules distinct in our memory. However, it remains unclear how the human brain represents distinct planning and execution processes for multiple sensorimotor mappings.Methods To address this, we designed a functional magnetic resonance imaging (fMRI) experiment to dissociate planning from execution during the learning of multiple visuomotor mappings. Crucially, our design compared brain activity when participants planned for different visual outcomes. Specifically, participants simultaneously adapted to opposite rotational perturbations (+30° and -30°) during a visuomotor task but ultimately executed the exact same physical movement.Results Our univariate results demonstrate that the BOLD activity increases in the posterior parietal cortex (PPC) during rotational planning, supporting its involvement in processing learned sensorimotor mappings. However, using multivoxel pattern analysis (MVPA) to decode neural patterns, we found a dissociation between motor execution and rotational planning. Although the PPC and cerebellum showed distinct decodable neural patterns for opposing motor execution, we did not observe significant decoding for opposing rotational planning.Discussion This suggests that the PPC may not represent opposing motor plans as distinct, though we cannot rule out a lack of robust decoding power due to our low trial count.
SN - 1662-5153
ER -