Marbaker, R. M. | bioRxiv Science

bioRxiv2025

The role of effort in adaptation to split-belt locomotion

In many motor learning tasks, the process of error reduction is mirrored in a process of effort reduction, where metabolic cost and or muscle co-contraction decrease gradually in tandem with error. Effort reduction may be incidental to the learning process, but high error movements can be more effortful and a drive to minimize effort costs could also play a role in motor learning. In this study, we focused on the effort requirements of the task, asking whether task (background) effort cost affects learning, aftereffects, or relearning in a split-belt walking task. We hypothesized that greater effort costs would amplify the need to reduce effort and accelerate learning. Alternatively, we hypothesized that greater effort requirement could compromise and slow the learning process. Participants in high, low, and control effort groups completed a split-belt walking task while wearing a weighted vest with 15% body mass, 5% body mass, or the vest only, and we assessed step length asymmetry throughout the protocol. Step length asymmetry changed similarly between groups, with similar rates and extent of learning and relearning and similar patterns of aftereffects when the split-belt perturbation was removed. We found no significant effect of task effort on the process of split-belt adaptation, suggesting that the brains response to gait asymmetry and ability to adapt to novel dynamics is relatively unchanged by background effort requirements of the task. NEW & NOTEWORTHYDespite the brains sensitivity to effort cost and willingness to adjust gait parameters to minimize cost, the process of split-belt adaptation was unaffected by increased effort requirements. This finding provides a foundation for further research into performance-dependent effort cost. Additionally, modest increases in effort should be further explored in rehabilitation applications where higher effort requirements may help build strength and fitness without impairing motor learning.

neuroscience↗

bioRxiv2024

Reward invigorates isometric gripping actions

Individuals exhibit a propensity to move faster toward more rewarding stimuli. While this phenomenon has been observed in movements, the effect of reward on implicit control of isometric actions, like gripping or grasping, is relatively unknown. How reward-related invigoration generalizes to other effortful actions is an important question. Reward invigorates reaching movements and saccades, supporting the idea that reward pays the additional effort cost of moving faster. Effort in isometric force generation is less understood, so here we ask whether and how reward-related invigoration generalizes to isometric force gripping. And if so, what implicit characteristics of gripping change when there is a prospect of reward? Participants (N=19) gripped a force transducer and the force applied was mapped to radial position of an onscreen cursor. Each trial, a target appeared in one of four locations; increasing grip force moved the cursor toward the target. The gripping action was interchangeable for all target positions. In each block of 100 trials, one target was consistently rewarded, while the other targets were not. When gripping to acquire the rewarded target, participants reacted faster, generated force more rapidly and to a greater extent, while intriguingly maintaining the same accuracy and integral of force over time. These findings support the generalization of reward-related invigoration in isometric force tasks, and that the brain exquisitely trades-off reward and effort costs to obtain reward more rapidly without compromising accuracy or more effort costs than necessary. NEW & NOTEWORTHYGripping actions are important for day-to-day tasks, for medical diagnostics like strength and force control, and for choice selection in decision-making experiments. Comparing isometric gripping responses to reward and nonreward cues, we observed reward-based invigoration mediated by selective increases in effort. These findings can be leveraged to provide additional insight into the decision making process, and better understand the effect of reward on movement vigor and the implicit control of accuracy.

neuroscience↗