Online modification of goal-directed control in human reaching movements
Antoine De ComiteiD, Frédéric CrevecoeuriD, Philippe LefèvreiD
Abstract
Humans are able to perform very sophisticated reaching movements in a myriad of contexts based on flexible control strategies influenced by the task goal and environmental constraints such as obstacles. However, it remains unknown whether these control strategies can be adjusted online. The objective of this study was to determine whether the factors which determine control strategies during planning also modify the execution of an ongoing movement following sudden changes in task demand. More precisely, we investigated whether, and at which latency, feedback responses to perturbation loads followed the change in the structure of the goal target or environment. We changed the target width (square or rectangle) to alter the task redundancy, or the presence of obstacles to induce different constraints on the reach path, and assessed based on surface recordings when the change in visual display altered the feedback response to mechanical perturbations. Task-related EMG responses were detected within 150 ms of a change in target shape. Considering visuomotor delays of [~] 100 ms, these results suggest that it takes 50 ms to change control policy within a trial. An additional 30 ms delay was observed when the change in context involved sudden appearance or disappearance of obstacles. Overall, our results demonstrate that the control policy within a reaching movement is not static: contextual factors which influence movement planning also influence movement execution at surprisingly short latencies. Moreover, the additional 30 ms associated with obstacles suggest that these two types of changes may be mediated via distinct processes. New & NoteworthyThe present work demonstrates that the control strategies used to perform reaching movements are adjusted online when the structure of the target or the presence of obstacles are altered during movements. Thus, the properties of goal-directed reaching control are not simply selected during the planning stage of a movement prior to execution. Rather, they are dynamically and rapidly adjusted online, within [~]150ms, according to changes in environment.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 22
- FWCI
- 1.97
- Field percentile
- top 15%
- Organism
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Continuous tracking of task parameters tunes reaching control online
Antoine De Comite, Frédéric Crevecoeur, Philippe Lefèvre·eNeuroPeer-reviewed·Jul 1, 2022
- Continuous monitoring of cost-to-go for flexible reaching control and online decisions
Antoine De Comite, Philippe Lefèvre, Frédéric Crevecoeur·bioRxiv·Nov 16, 2022
- When anticipation is not enough: a mixture of robust and adaptive feedback control strategies improve reaching in dynamic environments
Hari Teja Kalidindi, Frédéric Crevecoeur·Journal of NeurosciencePeer-reviewed·May 18, 2026
- Are online corrections to visual targets really a distinct class of movement?
David Y. Mekhaiel, Melvyn Alan Goodale, Brian D. Corneil·bioRxiv·Mar 14, 2025
- Time-to-target simplifies optimal control of visuomotor feedback responses
Justinas Česonis, David W. Franklin·eNeuroPeer-reviewed·Mar 1, 2020
- Interference between flexible and adaptive reaching control
Astrid Doyen, Philippe Lefèvre, Frédéric Crevecoeur·eNeuroPeer-reviewed·Oct 1, 2025