Journal article
A predictive model for diagnosing stroke-related apraxia of speech
KJ Ballard, L Azizi, JR Duffy, MR McNeil, M Halaki, N O'Dwyer, C Layfield, DI Scholl, AP Vogel, DA Robin
Neuropsychologia | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016
Abstract
Diagnosis of the speech motor planning/programming disorder, apraxia of speech (AOS), has proven challenging, largely due to its common co-occurrence with the language-based impairment of aphasia. Currently, diagnosis is based on perceptually identifying and rating the severity of several speech features. It is not known whether all, or a subset of the features, are required for a positive diagnosis. The purpose of this study was to assess predictor variables for the presence of AOS after left-hemisphere stroke, with the goal of increasing diagnostic objectivity and efficiency. This population-based case-control study involved a sample of 72 cases, using the outcome measure of expert judgmen..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was funded by National Health and Medical Research Council Project Grant #632763 to Ballard, Robin, McNeil, O'Dwyer, Duffy, Halaki, and Anderson. We thank Mark Longworth and the NSW Agency for Clinical Innovation, Michelle Sharkey and the NSW Stroke Support Network, the Communication Research Registry (crregistry.org.au), and local Speech-Language Pathologists for referrals; Timothy Turner and Raymond Patton for building the jaw visuomotor tracking system; and the participants themselves. KJB was supported by an Australian Research Council Future Fellowship (FT120100355), LA by the STEP program, APV by a NHMRC Career Development Fellowship (#1082910). A subset of the data was presented at the 2013 American Speech-Language-Hearing Association's annual conference in Chicago, IL.