Journal article

A predictive model for diagnosing stroke-related apraxia of speech

Kirrie J Ballard, Lamiae Azizi, Joseph R Duffy, Malcolm R McNeil, Mark Halaki, Nicholas O'Dwyer, Claire Layfield, Dominique I Scholl, Adam P Vogel, Donald A Robin

Neuropsychologia | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016

University of Melbourne Researchers


Awarded by National Health and Medical Research Council

Awarded by Australian Research Council Future Fellowship

Awarded by NHMRC Career Development Fellowship

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 (, 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.