Literature DB >> 9182751

Generalization from single sentence to multisentence production in severely aphasic patients.

M Weinrich1, J R Shelton, D McCall, D M Cox.   

Abstract

Multisentence production was examined in three nonfluent aphasic patients who had undergone a single sentence production training program using a computerized visual communication system (C-VIC). Patients were required to describe videotaped vignettes in English and using C-VIC. C-VIC allowed for an investigation of production abilities previously impossible to measure in severely aphasic patients, since C-VIC does not require internal generation of appropriate lexical items or phonological and articulatory realization. Results are discussed in the context of language production models in an attempt to determine the breakdown(s) in the production system that result in difficulty in trying to produce multiple sentences.

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Year:  1997        PMID: 9182751     DOI: 10.1006/brln.1997.1759

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  4 in total

1.  Widening the temporal window: processing support in the treatment of aphasic language production.

Authors:  Marcia Linebarger; Denise McCall; Telana Virata; Rita Sloan Berndt
Journal:  Brain Lang       Date:  2006-10-27       Impact factor: 2.381

2.  IMITATE: An intensive computer-based treatment for aphasia based on action observation and imitation.

Authors:  Jaime Lee; Robert Fowler; Daniel Rodney; Leora Cherney; Steven L Small
Journal:  Aphasiology       Date:  2010       Impact factor: 2.773

Review 3.  Computerized approaches to communication retraining after stroke.

Authors:  Beth M Ansel; Michael Weinrich
Journal:  Curr Atheroscler Rep       Date:  2002-07       Impact factor: 5.113

4.  Treating visual speech perception to improve speech production in nonfluent aphasia.

Authors:  Julius Fridriksson; Julie M Baker; Janet Whiteside; David Eoute; Dana Moser; Roumen Vesselinov; Chris Rorden
Journal:  Stroke       Date:  2009-01-22       Impact factor: 7.914

  4 in total

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