Ontology highlight
ABSTRACT: Background
The optimal stimulation for brain development in the early academic years remains unclear. Current research suggests that musical training has a more profound impact on children's executive functions (EF) compared to other art forms. What is crucially lacking is a large-scale, long-term genuine randomized controlled trial (RCT) in cognitive neuroscience, comparing musical instrumental training (MIP) to another art form, and a control group (CG). This study aims to fill this gap by using machine learning to develop a multivariate model that tracks the interconnected brain and EF development during the academic years, with or without music or other art training.Methods
The study plans to enroll 150 children aged 6-8 years and randomly assign them to three groups: O
SUBMITTER: James CE
PROVIDER: S-EPMC10993461 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature