A Randomized Comparative Effectiveness Trial of Many-Features and Few-Features Variants of Semantic Feature Analysis Treatment for Naming Impairment in Aphasia.
William Hula, Michael Walsh Dickey, Alyssa Autenreith et al.
✦ AI-curated · Sources linked
In 30 seconds
This randomized comparative effectiveness trial tested whether the number of semantic features generated during semantic feature analysis (SFA) affects naming outcomes in 41 people with aphasia following left-hemisphere stroke at least 6 months earlier. Participants were assigned to generate either 11 or five features per treatment trial and received 42 hr of SFA over 3 weeks. Naming accuracy increased substantially for treated items and modestly for untreated, semantically related items. The many-features and few-features assignments did not robustly differ on any outcome, suggesting that varying the required number of features from five to 11 did not reliably alter treatment results.
Key findings
- Participants showed large, statistically reliable gains in naming accuracy for treated items.
- Naming accuracy for untreated, semantically related items increased reliably, but the gains were small.
- Requiring 11 rather than five features per trial did not robustly affect treatment outcomes.
Why it matters
The trial directly tested whether generating more semantic features—a proposed active ingredient of SFA—improves naming outcomes. Its findings suggest that, within the tested range, the number of features required per trial may not be a decisive determinant of response. This helps clarify what treatment variation did and did not influence in this group, while leaving other aspects of SFA and other patient populations untested.
What to keep in mind
The comparison tested only five versus 11 features per trial in people with chronic aphasia after left-hemisphere stroke; the abstract does not report outcomes beyond 2- to 3-month follow-up.