The Challenge of Achieving Greater Generalization in Phonological Treatment of Aphasia.
Nichol Castro, Stephen E Nadeau, Diane L Kendall
PMID 35280517WHAT IT FOUND
Phonological path distance between trained and untrained words did not predict naming improvement in people with aphasia receiving Phonomotor Treatment.
The untrained words may have been too far from the training targets to benefit from intrinsic generalization.
Key findings
01Inverse average shortest path length did not significantly predict change in confrontation naming accuracy immediately post-treatment or at 3 months.
02Post-hoc analysis contrasting near versus far words based on a 5-link cutoff also found no significant effect on naming accuracy.
03Participants showed heterogeneous responses, with some showing the predicted effect, some showing no effect, and others showing the opposite effect.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study is a retrospective secondary analysis of a previous RCT, not a prospective trial designed to test path distance. The untrained words used in the original trial may have been too distant from the training stimuli to show an effect, as indicated by the large average path distance. Participant heterogeneity in the underlying cause of anomia (semantic vs. phonological vs. disconnection) likely obscured any group-level effect of path distance. The phonological network model used only considered pairwise similarity based on one-phoneme differences, ignoring other factors like syllable stress or distinctive features.
Declared interests
Funding and conflicts of interest are not explicitly detailed in the provided text, though the work is associated with researchers from the University of Washington and Veterans Affairs.
The easy way to misread this
Do not assume that phonological similarity guarantees generalization. The null finding here may be due to the specific stimuli used being too distant, not because the mechanism of intrinsic generalization is invalid. It does not prove that PMT fails to generalize, only that this specific metric did not predict it.