ArticleHuman brain mapping2018
Neural predictors of sensorimotor adaptation rate and savings.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Locomotor savings relies on attentional control of walking in older, but not younger adults.bioRxiv : the preprint server for biology · 2026Article
- Associations between incremental exercise capacity and multimodal brain characteristics across training levels.Frontiers in human neuroscience · 2026Article
- Savings in visuomotor learning are associated with connectivity changes within a cerebello-thalamo-cortical network encoding movement errors.Brain structure & function · 2025Article
- The microgravity environment affects sensorimotor adaptation and its neural correlates.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Unlocking motor reserve: behavioral and neuroimaging correlates of locomotor adaptability from youth to old age.Frontiers in systems neuroscience · 2025Article
- Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements.Human brain mapping · 2023Article
- Virtual reality-based sensorimotor adaptation shapes subsequent spontaneous and naturalistic stimulus-driven brain activity.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Different whole-brain functional connectivity correlates of reactive-proactive aggression and callous-unemotional traits in children and adolescents with disruptive behaviors.NeuroImage. Clinical · 2023Article
- Motion state-dependent motor learning based on explicit visual feedback is quickly recalled, but is less stable than adaptation to physical perturbations.Journal of neurophysiology · 2022Article
- Cortical thickness of primary motor and vestibular brain regions predicts recovery from fall and balance directly after spaceflight.Brain structure & function · 2022Article
- Adaptive control of movement deceleration during saccades.PLoS computational biology · 2021Article
- Prior cortical activity differences during an action observation plus motor imagery task related to motor adaptation performance of a coordinated multi-limb complex task.Cognitive neurodynamics · 2020Article
- The 24-h savings of adaptation to novel movement dynamics initially reflects the recall of previous performance.Journal of neurophysiology · 2019Article
- Increase in weighting of vision vs. proprioception associated with force field adaptation.Scientific reports · 2019Article
- Neural correlates of multi-day learning and savings in sensorimotor adaptation.Scientific reports · 2018Article
- Neural predictors of sensorimotor adaptation rate and savings.Human brain mapping · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
In this study, we investigate whether individual variability in the rate of visuomotor adaptation and multiday savings is associated with differences in regional gray matter volume and resting-state functional connectivity. Thirty-four participants performed a manual adaptation task during two separate test sessions, on average 9 days apart. Functional connectivity strength between sensorimotor, dorsal cingulate, and temporoparietal regions of the brain was found to predict the rate of learning during the early phase of the adaptation task. In contrast, default mode network connectivity strength was found to predict both the rate of learning during the late adaptation phase and savings. As for structural predictors, greater gray matter volume in temporoparietal and occipital regions predicted faster early learning, whereas greater gray matter volume in superior posterior regions of the cerebellum predicted faster late learning. These findings suggest that the offline neural predictors of early adaptation may facilitate the cognitive aspects of sensorimotor adaptation, supported by the involvement of temporoparietal and cingulate networks. The offline neural predictors of late adaptation and savings, including the default mode network and the cerebellum, likely support the storage and modification of newly acquired sensorimotor representations.
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