ClinicalTrials.gov
public full text
Public Domain
Neural Mechanisms of the Contextual Interference Effect: A fNIRs and EEG Study
The overall goal of this study is to gain insight into the neural mechanisms of learning multiple tasks. By examination of cognitive and behavioral output during the performance and learning of several computer maze tasks, and through a detailed examination of the neural activity obtained from functional near-infrared (fNIR) and electroencephalography (EEG), it may be possible to gain insight into the impact of the amount of practice and the organization of practice has on learning fine motor skills. This insight may provide direction as to how to better develop instructional and rehabilitation protocols in addition to clinical interventions to facilitate recovery of function, relearning and transfer of cognitive and fine motor skills based upon neural responses to physical practice.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Concurrent observation and physical practice facilitates early closed motor skill learning: evidence from EEG source functional connectivity and behavioral performance.#1175717
- Exercise practice associates with different brain rhythmic patterns during vigilance#487118
- Cognitive Control and Physical Exercise#903016
- Assembly-specific disruption of hippocampal replay leads to selective memory deficit#301327
- The functional role of thalamocortical projections in motor learning#983533
Record · ID 1008029
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive