Aphasia Models

presented by Diane Kendall

Accreditation Check:

In this course, Aphasia Models, Dr. Diane Kendall provides a basic background and definition of aphasia, reviews the model upon which the classical aphasia syndromes originates, discusses how the classical syndromes might be lacking in terms of sensitivity and specificity of linguistic impairment, reviews a connectionist model of language, and discusses how patient errors can aid in the development of a sensitive and specific treatment plan.

Meet Your Instructor

  • Diane Kendall, PhD, CCC-SLP

    Diane Kendall, PhD, CCC-SLP

    Dr. Kendall is a Full Professor at the University of Washington Department of Speech and Hearing Sciences. Her research program is focused on rehabilitation of aphasia. She, along with her colleagues, has created a treatment for linguistic deficits in aphasia called Phonomotor Treatment. Through a Veterans Administration Associate Investigator Award (2000-2002), Career Research Development Award (2002-2005) and Merit Review Grants (2010-2013 and 2013-2017), she continues to systematically test and refine the phono motor treatment protocol. Dr. Kendall has received numerous awards which include a prestigious Fulbright Scholar Award to research and teach at the University of Pretoria in South Africa (2013), an Erskine Fellow Award from the University of Canterbury, Christchurch, New Zealand (2006) and the Clinical Achievement Award from the Washington State Speech and Hearing Association (2011).

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Chapters & Learning Objectives

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  1. Background & Definitions

    1. Background & Definitions

    Describe how language is both lateralized and localized. Provide a working definition of aphasia.

  2. Classical Aphasia Syndromes

    2. Classical Aphasia Syndromes

    Describe symptoms of Broca's aphasia, Wernicke's aphasia and Conduction aphasia. Provide 3 reasons why the classical aphasia syndromes are not useful in treatment planning.

  3. Models

    3. Models

    Provide recent evidence based meta-analysis study demonstrating that language is distributed. Describe the processing assumptions of a modular model. Describe the processing assumptions of a distributed model

  4. Errors

    4. Errors

    Ascribe errors (phonologic, semantic, mixed) to Dell's model.Discuss how a distributed model explains errors. Describe the difference between bottom-up and top-down errors.