Literature DB >> 15327734

Factor structure of the CERAD neuropsychological battery.

Milton E Strauss1, Thomas Fritsch.   

Abstract

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was developed to evaluate cognitive impairments associated with Alzheimer's disease (AD). Previous studies have suggested that the battery is multi-dimensional, represented by either 3 or 5 dimensions. In this study a principal factor analysis was conducted using contemporary quantitative methods for determining the number of factors. Exploratory factor analysis of the CERAD battery and MMSE was conducted using one-half of the CERAD database (total N = 969). Glorfeld's modification of Horn's parallel analysis method suggested that there was 1 common factor in the variable matrix. Characterization of patterns of deficits in AD requires supplementation of measures derived from the CERAD and MMSE with other tests.

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Year:  2004        PMID: 15327734     DOI: 10.1017/S1355617704104098

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


  10 in total

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2.  Factor structure of the ARIC-NCS Neuropsychological Battery: An evaluation of invariance across vascular factors and demographic characteristics.

Authors:  Andreea M Rawlings; Karen Bandeen-Roche; Alden L Gross; Rebecca F Gottesman; Laura H Coker; Alan D Penman; A Richey Sharrett; Thomas H Mosley
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Review 3.  Diabetes-Specific Dementia: A Structured Literature Review of Cognitive Assessment Methods.

Authors:  Kelli L Faaitiiti; Daniel C Jupiter
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4.  Measurement and Structure of Cognition in the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia.

Authors:  Alden L Gross; Pranali Y Khobragade; Erik Meijer; Judith A Saxton
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5.  Cognitive profiles in dementia: Alzheimer disease vs healthy brain aging.

Authors:  D K Johnson; M Storandt; J C Morris; Z D Langford; J E Galvin
Journal:  Neurology       Date:  2008-11-25       Impact factor: 9.910

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Authors:  Lindsay C Kobayashi; Alden L Gross; Laura E Gibbons; Doug Tommet; R Elizabeth Sanders; Seo-Eun Choi; Shubhabrata Mukherjee; Maria Glymour; Jennifer J Manly; Lisa F Berkman; Paul K Crane; Dan M Mungas; Richard N Jones
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7.  Relationship between Lipoprotein (a) and cognitive function - Results from the Berlin Aging Study II.

Authors:  Nikolaus Buchmann; Sandra Düzel; Franziska Röhr; Nina Bucholtz; Sarah Toepfer; Kristina Norman; Dominik Spira; Elisabeth Steinhagen-Thiessen; Christina M Lill; Lars Bertram; Ilja Demuth
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8.  The congruency of neuropsychological and F18-FDG brain PET/CT diagnostics of Alzheimer's Disease (AD) in routine clinical practice: insights from a mixed neurological patient cohort.

Authors:  Sascha Hansen; Jana Keune; Kim Küfner; Regina Meister; Juliane Habich; Julia Koska; Stefan Förster; Patrick Oschmann; Philipp M Keune
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9.  Factors Associated With Short and Long Term Cognitive Changes in Patients With Sepsis.

Authors:  Allan J C Calsavara; Priscila A Costa; Vandack Nobre; Antonio L Teixeira
Journal:  Sci Rep       Date:  2018-03-14       Impact factor: 4.379

10.  Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

Authors:  Hyun-Soo Choi; Jin Yeong Choe; Hanjoo Kim; Ji Won Han; Yeon Kyung Chi; Kayoung Kim; Jongwoo Hong; Taehyun Kim; Tae Hui Kim; Sungroh Yoon; Ki Woong Kim
Journal:  BMC Geriatr       Date:  2018-10-03       Impact factor: 3.921

  10 in total

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