Neural architecture supporting active emotion processing in children: A multivariate approach.

ABSTRACT: BACKGROUND:Adaptive emotion processing is critical for nearly all aspects of social and emotional functioning. There are distinct developmental trajectories associated with improved emotion processing, with a protracted developmental course for negative or complex emotions. The specific changes in neural circuitry that underlie this development, however are still scarcely understood. We employed a multivariate approach in order to elucidate distinctions in complex, naturalistic emotion processing between childhood and adulthood. METHOD:Twenty-one adults (M±SD age?=?26.57?±?5.08 years) and thirty children (age?=?7.75?±?1.80 years) completed a free-viewing movie task during BOLD fMRI scanning. This task was designed to assess naturalistic processing of movie clips portraying positive, negative, and neutral emotions. Multivariate support vector machines (SVM) were trained to classify age groups based on neural activation during the task. RESULTS:SVMs were able to successfully classify condition (positive, negative, and neutral) across all participants with high accuracy (61.44%). SVMs could successfully distinguish adults and children within each condition (ps?

SUBMITTER: Camacho MC 

PROVIDER: S-EPMC6401267 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature