Typicality-based semantic treatment for anomia results in multiple levels of generalisation.
Natalie Gilmore, Erin L Meier, Jeffrey P Johnson and 1 others
PMID 30027828WHAT IT FOUND
Semantic feature work on unusual category examples helped people with aphasia name trained items.
Untrained typical items improved more than untrained atypical items. Improvement was uneven, and transfer to broader language tasks was limited.
Key findings
01Training semantic features of category items made trained items more likely to be named correctly over time than untrained monitored items.
02Untrained typical items improved more than untrained atypical items over time.
03Participants classified as responders improved on standardized language measures, while nonresponders did not.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The study did not randomly assign participants to receive therapy or no therapy, so the natural history control comparison cannot fully rule out time-related change or repeated testing effects. Some participants did not reach the response benchmark, and the responder and nonresponder analyses were done after looking at treatment response. Five participants received a home exercise program because they were not responding well, so the separate effect of that program cannot be separated from the main therapy. The control comparisons found few significant differences between responders and natural history controls, especially for untrained naming and standardized language tests. The participants had chronic aphasia after left-hemisphere stroke and were selected for stable, low naming accuracy, so the results may not apply to acute recovery or very mild naming problems. The design did not test whether training typical items would produce the same generalization pattern as training atypical items.
Declared interests
The only funding statement supplied says the project was completed under NIH/NIDCD grant 1P50DC012283, with Cynthia Thompson as principal investigator. No author conflicts of interest are reported in the supplied text.
The easy way to misread this
Do not conclude that typicality-based semantic feature analysis produces broad language recovery for all people with aphasia. The gains were strongest in participants who responded to treatment, and the natural history control comparison did not show significant differences for untrained naming or standardized language tests.