Dynamic reconfiguration of human brain networks during learning.

ABSTRACT: Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes--flexibility and selection--must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network function. Using functional connectivity measurements of brain activity acquired from initial training through mastery of a simple motor skill, we investigate the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal sca

SUBMITTER: Bassett DS 

PROVIDER: S-EPMC3088578 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature