2023
DOI: 10.3389/fresc.2023.1017389
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Novel participant-level meta-analytic evidence for AbSANT efficacy

Chaleece W. Sandberg,
Hannah Khorassani,
Teresa Gray
et al.

Abstract: The current study employed interrupted time series (ITS) models to analyze all available (published and unpublished) Abstract Semantic Associative Network Training (AbSANT) data.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 dr… Show more

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