Novel participant-level meta-analytic evidence for AbSANT efficacy.

ABSTRACT: The current study employed interrupted time series (ITS) models to analyze all available (published and unpublished) Abstract Semantic Associative Network Training (AbSANT) data. AbSANT is a semantically focused anomia treatment that targets not only concrete but abstract words, unique among existing anomia treatments. However, evidence to date for the positive effects of AbSANT comes only from small-sample, single-subject design studies, limiting the strength of this evidence and the inferences that can be drawn from it. The statistical power and greater representativeness afforded by this larger aggregated sample enabled us to look for group-level efficacy evidence for AbSANT, examine specific questions about AbSANT's direct training and generalization effects, and identify potential pre

SUBMITTER: Sandberg CW 

PROVIDER: S-EPMC10441547 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature