Literature DB >> 15766770

Semantic feature knowledge and picture naming in dementia of Alzheimer's type: a new approach.

Peter Garrard1, Matthew A Lambon Ralph, Karalyn Patterson, Katherine H Pratt, John R Hodges.   

Abstract

This study addresses continuing controversies concerning the nature of semantic impairment in early dementia of the Alzheimer type (DAT), and the relationship between conceptual knowledge and picture naming. A series of analyses of fine-grained feature knowledge data show that: (1) distinctive features of concepts were more vulnerable than shared; (2) the amount of attribute knowledge about a concept was associated reliably, and in a graded fashion, with the ability to name a picture of that item; (3) sensory features were differentially important in naming; and (4) the degree of disruption to different types of attribute knowledge did not vary between items from living and nonliving domains. These findings are discussed in the context of contemporary cognitive and computational models of semantic memory organisation.

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Year:  2005        PMID: 15766770     DOI: 10.1016/j.bandl.2004.08.003

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


  23 in total

1.  An Interactional Profile to Assist the Differential Diagnosis of Neurodegenerative and Functional Memory Disorders.

Authors:  Markus Reuber; Daniel J Blackburn; Chris Elsey; Sarah Wakefield; Kerry A Ardern; Kirsty Harkness; Annalena Venneri; Danielle Jones; Chloe Shaw; Paul Drew
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Jul-Sep       Impact factor: 2.703

2.  Medial temporal lobe involvement in an implicit memory task: evidence of collaborating implicit and explicit memory systems from FMRI and Alzheimer's disease.

Authors:  Phyllis Koenig; Edward E Smith; Vanessa Troiani; Chivon Anderson; Peachie Moore; Murray Grossman
Journal:  Cereb Cortex       Date:  2008-04-09       Impact factor: 5.357

3.  Visual discrimination predicts naming and semantic association accuracy in Alzheimer disease.

Authors:  Stacy M Harnish; Jean Neils-Strunjas; James Eliassen; Jamie Reilly; Marcus Meinzer; John Greer Clark; Jane Joseph
Journal:  Cogn Behav Neurol       Date:  2010-12       Impact factor: 1.600

4.  A feature-based neurocomputational model of semantic memory.

Authors:  Mauro Ursino; Cristiano Cuppini; Stefano F Cappa; Eleonora Catricalà
Journal:  Cogn Neurodyn       Date:  2018-07-07       Impact factor: 5.082

5.  Distinctive semantic features in the healthy adult brain.

Authors:  Megan Reilly; Natalya Machado; Sheila E Blumstein
Journal:  Cogn Affect Behav Neurosci       Date:  2019-04       Impact factor: 3.282

6.  The neural correlates of naming and fluency deficits in Alzheimer's disease: an FDG-PET study.

Authors:  Rebecca J Melrose; Olivia M Campa; Dylan G Harwood; Sheryl Osato; Mark A Mandelkern; David L Sultzer
Journal:  Int J Geriatr Psychiatry       Date:  2009-08       Impact factor: 3.485

7.  Category-specific naming and recognition deficits in temporal lobe epilepsy surgical patients.

Authors:  Daniel L Drane; George A Ojemann; Elizabeth Aylward; Jeffrey G Ojemann; L Clark Johnson; Daniel L Silbergeld; John W Miller; Daniel Tranel
Journal:  Neuropsychologia       Date:  2007-12-15       Impact factor: 3.139

Review 8.  A Neuropsychological Perspective on Abstract Word Representation: From Theory to Treatment of Acquired Language Disorders.

Authors:  Richard J Binney; Bonnie Zuckerman; Jamie Reilly
Journal:  Curr Neurol Neurosci Rep       Date:  2016-09       Impact factor: 5.081

9.  Verb acquisition and representation in Alzheimer's disease.

Authors:  Murray Grossman; Ryan Murray; Phyllis Koenig; Sherry Ash; Katy Cross; Peachie Moore; Vanessa Troiani
Journal:  Neuropsychologia       Date:  2007-03-30       Impact factor: 3.139

10.  An Italian battery for the assessment of semantic memory disorders.

Authors:  Eleonora Catricalà; Pasquale A Della Rosa; Valeria Ginex; Zoe Mussetti; Valentina Plebani; Stefano F Cappa
Journal:  Neurol Sci       Date:  2012-09-09       Impact factor: 3.307

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