Variable Neural Contributions to Explicit and Implicit Learning During Visuomotor Adaptation
Sook-Lei Liew; Tziporah Thompson; Joel Ramirez; Peter A. Butcher; Jordan A. Taylor; Pablo Celnik · 2018 · Frontiers in Neuroscience
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
We routinely make fine motor adjustments to maintain optimal motor performance. These adaptations have been attributed to both implicit, error-based mechanisms, and explicit, strategy-based mechanisms. However, little is known about the neural basis of implicit vs. explicit learning. Here, we aimed to use anodal transcranial direct current stimulation (tDCS) to probe the relationship between different brain regions and learning mechanisms during a visuomotor adaptation task in humans. We hypothesized that anodal tDCS over the cerebellum (CB) should increase implicit learning while anodal tDCS
Abstract by Sook-Lei Liew; Tziporah Thompson; Joel Ramirez; Peter A. Butcher; Jordan A. Taylor; Pablo Celnik, Frontiers in Neuroscience (2018) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3389/fnins.2018.00610