Implicit Adaptation Is Modulated by the Relevance of Feedback.


Journal

Journal of cognitive neuroscience
ISSN: 1530-8898
Titre abrégé: J Cogn Neurosci
Pays: United States
ID NLM: 8910747

Informations de publication

Date de publication:
04 Apr 2024
Historique:
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 5 4 2024
Statut: aheadofprint

Résumé

Given that informative and relevant feedback in the real world is often intertwined with distracting and irrelevant feedback, we asked how the relevancy of visual feedback impacts implicit sensorimotor adaptation. To tackle this question, we presented multiple cursors as visual feedback in a center-out reaching task and varied the task relevance of these cursors. In other words, participants were instructed to hit a target with a specific task-relevant cursor, while ignoring the other cursors. In Experiment 1, we found that reach aftereffects were attenuated by the mere presence of distracting cursors, compared with reach aftereffects in response to a single task-relevant cursor. The degree of attenuation did not depend on the position of the distracting cursors. In Experiment 2, we examined the interaction between task relevance and attention. Participants were asked to adapt to a task-relevant cursor/target pair, while ignoring the task-irrelevant cursor/target pair. Critically, we jittered the location of the relevant and irrelevant target in an uncorrelated manner, allowing us to index attention via how well participants tracked the position of target. We found that participants who were better at tracking the task-relevant target/cursor pair showed greater aftereffects, and interestingly, the same correlation applied to the task-irrelevant target/cursor pair. Together, these results highlight a novel role of task relevancy on modulating implicit adaptation, perhaps by giving greater attention to informative sources of feedback, increasing the saliency of the sensory prediction error.

Identifiants

pubmed: 38579248
pii: 120480
doi: 10.1162/jocn_a_02160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-15

Subventions

Organisme : NIH HHS
ID : R35 NS116883
Pays : United States

Informations de copyright

© 2024 Massachusetts Institute of Technology.

Auteurs

Jonathan Tsay (J)

Carnegie Mellon University, Pittsburgh, PA.

Darius E Parvin (DE)

University of California.
Helen Wills Neuroscience Institute, Berkeley, CA.

Kristy V Dang (KV)

University of California.
Helen Wills Neuroscience Institute, Berkeley, CA.

Alissa R Stover (AR)

University of California.
Helen Wills Neuroscience Institute, Berkeley, CA.

Richard B Ivry (RB)

University of California.
Helen Wills Neuroscience Institute, Berkeley, CA.

J Ryan Morehead (JR)

University of Leeds.
Harvard University, Cambridge, MA.

Classifications MeSH