The Reference Ability Neural Network Study: Life-time stability of reference-ability neural networks derived from task maps of young adults.

ABSTRACT: Analyses of large test batteries administered to individuals ranging from young to old have consistently yielded a set of latent variables representing reference abilities (RAs) that capture the majority of the variance in age-related cognitive change: Episodic Memory, Fluid Reasoning, Perceptual Processing Speed, and Vocabulary. In a previous paper (Stern et al., 2014), we introduced the Reference Ability Neural Network Study, which administers 12 cognitive neuroimaging tasks (3 for each RA) to healthy adults age 20-80 in order to derive unique neural networks underlying these 4 RAs and investigate how these networks may be affected by aging. We used a multivariate approach, linear indicator regression, to derive a unique covariance pattern or Reference Ability Neural Network (RANN) for e

SUBMITTER: Habeck C 

PROVIDER: S-EPMC4691438 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature