External error attribution dampens efferent-based predictions but not proprioceptive changes in hand localization

• Published in: Scientific reports Vol. 10; no. 1; p. 19918
• Main Authors: Gastrock, Raphael Q., Modchalingam, Shanaathanan, ’t Hart, Bernard Marius, Henriques, Denise Y. P.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 16.11.2020; Nature Publishing Group
• Subjects: 631/378; 631/378/2629; 631/378/2632; Adaptation; Adaptation, Physiological; Adult; Case-Control Studies; Estimates; Explicit knowledge; Feedback; Feedback, Sensory - physiology; Female; Hand - physiology; Humanities and Social Sciences; Humans; Interactive computer systems; Localization; Male; Motor Activity; Motor skill learning; Movement; multidisciplinary; Proprioception; Psychomotor Performance; Robots; Science; Science (multidisciplinary); Young Adult
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-020-76940-3

In learning and adapting movements in changing conditions, people attribute the errors they experience to a combined weighting of internal or external sources. As such, error attribution that places more weight on external sources should lead to decreased updates in our internal models for movement of the limb or estimating the position of the effector, i.e. there should be reduced implicit learning. However, measures of implicit learning are the same whether or not we induce explicit adaptation with instructions about the nature of the perturbation. Here we evoke clearly external errors by either demonstrating the rotation on every trial, or showing the hand itself throughout training. Implicit reach aftereffects persist, but are reduced in both groups. Only for the group viewing the hand, changes in hand position estimates suggest that predicted sensory consequences are not updated, but only rely on recalibrated proprioception. Our results show that estimating the position of the hand incorporates source attribution during motor learning, but recalibrated proprioception is an implicit process unaffected by external error attribution.