Literature DB >> 9322400

Neuropsychological asymmetry in Alzheimer's disease: verbal versus visuoconstructional deficits across stages of dementia.

D Strite1, P J Massman, N Cooke, R S Doody.   

Abstract

The incidence of clinically apparent asymmetric profiles of neuropsychological deficits in Alzheimer's disease (AD) patients similar to those reported in the PET literature is currently unclear. This study investigated lateral neuropsychological asymmetry using principal component factor analysis in a sample of 153 patients diagnosed with probable AD. Using factor scores, patients were classified into groups exhibiting asymmetric or symmetric profiles of neuropsychological deficits. In the analysis of lateral asymmetry, 27.5% of patients were classified as asymmetric (10% verbally and 17% visuospatially). Consistent with reports of continued asymmetry beyond the mild dementia stage, asymmetry was exhibited in the mild, moderate, and severely demented groups. These findings of neuropsychological asymmetry across stages of dementia are consistent with the picture of significant neuropsychological heterogeneity in AD that has been emerging in the decade.

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Year:  1997        PMID: 9322400

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  10 in total

1.  Asymmetry in auditory and spatial attention span in normal elderly genetically at risk for Alzheimer's disease.

Authors:  Mark W Jacobson; Dean C Delis; Mark W Bondi; David P Salmon
Journal:  J Clin Exp Neuropsychol       Date:  2005-02       Impact factor: 2.475

Review 2.  Neuropsychological contributions to the early identification of Alzheimer's disease.

Authors:  Mark W Bondi; Amy J Jak; Lisa Delano-Wood; Mark W Jacobson; Dean C Delis; David P Salmon
Journal:  Neuropsychol Rev       Date:  2008-03-18       Impact factor: 7.444

3.  Characterization of a temporoparietal junction subtype of Alzheimer's disease.

Authors:  François Meyer; Marie Wehenkel; Christophe Phillips; Pierre Geurts; Roland Hustinx; Claire Bernard; Christine Bastin; Eric Salmon
Journal:  Hum Brain Mapp       Date:  2019-06-26       Impact factor: 5.038

Review 4.  Cognitive phenotypes, brain morphometry and the detection of cognitive decline in preclinical AD.

Authors:  Mark W Jacobson; Linda K McEvoy; Anders Dale; Christine Fennema-Notestine
Journal:  Behav Neurol       Date:  2009       Impact factor: 3.342

5.  The emergence of cognitive discrepancies in preclinical Alzheimer's disease: a six-year case study.

Authors:  Mark W Jacobson; Dean C Delis; Guerry M Peavy; Spencer R Wetter; Erin D Bigler; Tracy J Abildskov; Mark W Bondi; David P Salmon
Journal:  Neurocase       Date:  2009-04-21       Impact factor: 0.881

6.  Apolipoprotein E genotype and memory in the sixth decade of life.

Authors:  M R Schultz; M J Lyons; C E Franz; M D Grant; C Boake; K C Jacobson; H Xian; G D Schellenberg; S A Eisen; W S Kremen
Journal:  Neurology       Date:  2008-01-30       Impact factor: 9.910

7.  Objective metamemory testing captures awareness of deficit in Alzheimer's disease.

Authors:  Stephanie Cosentino; Janet Metcalfe; Brady Butterfield; Yaakov Stern
Journal:  Cortex       Date:  2007-10       Impact factor: 4.027

8.  Linear and nonlinear relationships between cognitive subdomains of ability discrepancy and Alzheimer's disease biomarkers.

Authors:  Ian M McDonough; Taylor E Popp
Journal:  Neuropsychology       Date:  2019-12-02       Impact factor: 3.295

Review 9.  Connecting Cohorts to Diminish Alzheimer's Disease (CONCORD-AD): A Report of an International Research Collaboration Network.

Authors:  Valory N Pavlik; Samantha C Burnham; Joseph S Kass; Catherine Helmer; Sebastian Palmqvist; Maria Vassilaki; Jean-François Dartigues; Oskar Hansson; Colin L Masters; Karine Pérès; Ronald C Petersen; Erik Stomrud; Lesley Butler; Preciosa M Coloma; Xavier M Teitsma; Rachelle Doody; Mary Sano
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

10.  Multimodal Phenotyping of Alzheimer's Disease with Longitudinal Magnetic Resonance Imaging and Cognitive Function Data.

Authors:  Yejin Kim; Xiaoqian Jiang; Luca Giancardo; Danilo Pena; Avram S Bukhbinder; Albert Y Amran; Paul E Schulz
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.379

  10 in total

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