Literature DB >> 26381474

Verbal Description of Concrete Objects: A Method for Assessing Semantic Circumlocution in Persons With Aphasia.

Sharon M Antonucci, Colleen MacWilliam.   

Abstract

PURPOSE: We investigated from a theoretically motivated perspective what information differentiated sufficient from insufficient descriptions of objects provided by persons with aphasia.
METHOD: Twenty-one adults with aphasia consequent to single left-hemisphere stroke verbally described 9 living and 9 nonliving objects. Responses were scored for accuracy (i.e., sufficiency) and tallied for type and quantity of semantic feature information provided. Main effects and interactions were identified using repeated measures analyses of variance, with significant findings followed up with planned comparisons.
RESULTS: Differences between correct and incorrect descriptions were identified with respect to both feature type and feature distinctiveness for living and nonliving items, in particular highlighting the importance of distinctive features in descriptions of both domains.
CONCLUSIONS: These findings add to the relatively small body of literature investigating semantic feature processing in adults with aphasia. This is a critical gap to close when considered in light of the preponderance of semantically based treatments for word-retrieval impairment in stroke-aphasia. Our findings provide preliminary support for the notion that semantically guided treatments for word-retrieval impairment in stroke-aphasia may be geared toward increasing specificity of semantic circumlocution to increase semantic self-cueing and to improve communication of information to conversation partners.

Entities:  

Mesh:

Year:  2015        PMID: 26381474      PMCID: PMC4698471          DOI: 10.1044/2015_AJSLP-14-0154

Source DB:  PubMed          Journal:  Am J Speech Lang Pathol        ISSN: 1058-0360            Impact factor:   2.408


  31 in total

1.  Conceptual structure and the structure of concepts: a distributed account of category-specific deficits.

Authors:  L K Tyler; H E Moss; M R Durrant-Peatfield; J P Levy
Journal:  Brain Lang       Date:  2000-11       Impact factor: 2.381

2.  Analyzing the factors underlying the structure and computation of the meaning of chipmunk, cherry, chisel, cheese, and cello (and many other such concrete nouns).

Authors:  George S Cree; Ken McRae
Journal:  J Exp Psychol Gen       Date:  2003-06

3.  Complexity in the treatment of naming deficits.

Authors:  Swathi Kiran
Journal:  Am J Speech Lang Pathol       Date:  2007-02       Impact factor: 2.408

4.  Semantic feature production norms for a large set of living and nonliving things.

Authors:  Ken McRae; George S Cree; Mark S Seidenberg; Chris McNorgan
Journal:  Behav Res Methods       Date:  2005-11

Review 5.  Anatomical functional and cognitive determinants of semantic memory disorders.

Authors:  Guido Gainotti
Journal:  Neurosci Biobehav Rev       Date:  2006-02-07       Impact factor: 8.989

6.  Semantic memory organization during the early stage of recovery from traumatic brain injury.

Authors:  Jennifer McWilliams; Maureen Schmitter-Edgecombe
Journal:  Brain Inj       Date:  2008-03       Impact factor: 2.311

7.  Model-based semantic treatment for naming deficits in aphasia.

Authors:  R L Drew; C K Thompson
Journal:  J Speech Lang Hear Res       Date:  1999-08       Impact factor: 2.297

Review 8.  What the locus of brain lesion tells us about the nature of the cognitive defect underlying category-specific disorders: a review.

Authors:  G Gainotti
Journal:  Cortex       Date:  2000-09       Impact factor: 4.027

9.  Is a picture worth a thousand words? Evidence from concept definitions by patients with semantic dementia.

Authors:  M A Lambon Ralph; K S Graham; K Patterson; J R Hodges
Journal:  Brain Lang       Date:  1999-12       Impact factor: 2.381

10.  Semantic memory impairment in Alzheimer's disease: failure of access or degraded knowledge?

Authors:  J R Hodges; D P Salmon; N Butters
Journal:  Neuropsychologia       Date:  1992-04       Impact factor: 3.139

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