Dissociating neural representations of multiple learned sensorimotor mappings
Overview
- Department of Data Science, Hanyang University, Seoul, Republic of Korea
- Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea
- Department of Healthcare Digital Engineering, Hanyang University, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
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.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. All MRI data used in this study are archived in the Hanyang University Network Attached Storage (NAS). Upon reasonable request, the corresponding author can provide all the dataset and code related to this study.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Version 1, 30 October 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 2 authors, 6 keywords, 49 references.
Cite
This paper
Caraballo, A., & Kim, S. (2026). Dissociating neural representations of multiple learned sensorimotor mappings. Frontiers in behavioral neuroscience, 20, 1965610.
BibTeX
@article{caraballo2026di
author = {Caraballo, Antoine and Kim, Sungshin},
title = {{Dissociating neural representations of multiple learned sensorimotor mappings}},
journal = {Frontiers in behavioral neuroscience},
year = {2026},
month = oct,
volume = {20},
pages = {1965610},
publisher = {Frontiers Media SA},
issn = {1662-5153},
pmcid = {PMC13716789}
}
RIS
TY - JOUR
AU - Caraballo, Antoine
AU - Kim, Sungshin
TI - Dissociating neural representations of multiple learned sensorimotor mappings
T2 - Frontiers in behavioral neuroscience
J2 - Front Behav Neurosci
PY - 2026
DA - 2026/
VL - 20
SP - 1965610
SN - 1662-5153
PB - Frontiers Media SA
LA - en
ER -
CSL-JSON
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