Brain network topology predicts participant adherence to mental training programs.

ABSTRACT: Adherence determines the success and benefits of mental training (e.g., meditation) programs. It is unclear why some participants engage more actively in programs for mental training than others. Understanding neurobiological factors that predict adherence is necessary for understanding elements of learning and to inform better designs for new learning regimens. Clustering patterns in brain networks have been suggested to predict learning performance, but it is unclear whether these patterns contribute to motivational aspects of learning such as adherence. This study tests whether configurations of brain connections in resting-state fMRI scans can be used to predict adherence to two programs: meditation and creative writing. Results indicate that greater system segregation and clustering p

SUBMITTER: Saghayi M 

PROVIDER: S-EPMC7462432 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature