Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS)

Sandra Weintraub; Lilah Besser; Hiroko H Dodge; Merilee Teylan; Steven Ferris; Felicia C Goldstein; Bruno Giordani; Joel Kramer; David Loewenstein; Dan Marson; Dan Mungas; David Salmon; Kathleen Welsh-Bohmer; Xiao-Hua Zhou; Steven D Shirk; Alireza Atri; Walter A Kukull; Creighton Phelps; John C Morris

doi:10.1097/WAD.0000000000000223

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Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS)

Journal article

Open access

Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS)

Sandra Weintraub, Lilah Besser, Hiroko H Dodge, Merilee Teylan, Steven Ferris, Felicia C Goldstein, Bruno Giordani, Joel Kramer, David Loewenstein, Dan Marson, …

Alzheimer disease and associated disorders, Vol.32(1), pp.10-17

2018-01

DOI: https://doi.org/10.1097/WAD.0000000000000223

PMID: 29240561

Abstract

Alzheimer Disease - diagnosis

Humans

Middle Aged

Neuropsychological Tests - standards

Aged, 80 and over

Female

Male

Aged

Cognitive Dysfunction - diagnosis

Data Collection - methods

Databases, Factual

The neuropsychological battery of the Uniform Data Set (UDSNB) was implemented in 2005 by the National Institute on Aging (NIA) Alzheimer Disease Centers program to measure cognitive performance in dementia and mild cognitive impairment due to Alzheimer Disease. This paper describes a revision, the UDSNB 3.0. The Neuropsychology Work Group of the NIA Clinical Task Force recommended revisions through a process of due diligence to address shortcomings of the original battery. The UDSNB 3.0 covers episodic memory, processing speed, executive function, language, and constructional ability. Data from 3602 cognitively normal participants in the National Alzheimer Coordinating Center database were analyzed. Descriptive statistics are presented. Multivariable linear regression analyses demonstrated score differences by age, sex, and education and were also used to create a normative calculator available online. The UDSNB 3.0 neuropsychological battery provides a valuable non proprietary resource for conducting research on cognitive aging and dementia.

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Collaboration types: Domestic collaboration
Citation topics: 1 Clinical & Life Sciences; 1.52 Neurodegenerative Diseases; 1.52.60 Dementia
Web Of Science research areas: Clinical Neurology; Pathology
ESI research areas: Neuroscience & Behavior

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Title: Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS)
Creators: Sandra Weintraub - Neurology Northwestern University Feinberg School of Medicine, Cognitive Neurology and Alzheimer's Disease Center, Chicago, IL
Lilah Besser - Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA
Hiroko H Dodge - Department of Neurology, Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor, MI
Merilee Teylan - Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA
Steven Ferris - Alzheimer's Disease Center, New York University, New York, NY
Felicia C Goldstein - Department of Neurology, Alzheimer's Disease Center, Emory University, Atlanta, GA
Bruno Giordani - Department of Neurology, Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor, MI
Joel Kramer - Department of Neurology, University of California San Francisco Medical Center, San Francisco, CA
David Loewenstein - Department of Psychiatry and Behavioral Sciences, Miller Medical School, Miami, FL
Dan Marson - Department of Psychiatry, Alzheimer's Disease Center, University of Alabama-Birmingham, Birmingham, AL
Dan Mungas - Department of Neurology, University of California-Davis, Sacramento, CA
David Salmon - Department of Neurosciences, University of California- San Diego Medical School, San Diego, CA
Kathleen Welsh-Bohmer - Department of Psychiatry & Neurology, Duke University, Durham, NC
Xiao-Hua Zhou - Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA
Steven D Shirk - Mental Illness Research Education Clinical Center, ENRM Veterans Affairs Hospital, Bedford, MA
Alireza Atri - Department of Neurology, Harvard Medical School, Center for Brain/Mind Medicine, Brigham and Women's Hospital, Boston, MA
Walter A Kukull - Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA
Creighton Phelps - Advisor to the National Institute on Aging
John C Morris - Department of Neurology, Washington University School of Medicine, St. Louis, MO
Publication Details: Alzheimer disease and associated disorders, Vol.32(1), pp.10-17
Publisher: United States
Grant note: P50 AG047366 / NIA NIH HHS P50 AG005131 / NIA NIH HHS P30 AG019610 / NIA NIH HHS P30 AG062429 / NIA NIH HHS P50 AG005136 / NIA NIH HHS P50 AG008702 / NIA NIH HHS P50 AG023501 / NIA NIH HHS P50 AG047270 / NIA NIH HHS P50 AG005681 / NIA NIH HHS P30 AG008017 / NIA NIH HHS P30 AG028383 / NIA NIH HHS P30 AG010129 / NIA NIH HHS P30 AG012300 / NIA NIH HHS U01 AG032438 / NIA NIH HHS P30 AG010133 / NIA NIH HHS P50 AG005133 / NIA NIH HHS P50 AG005142 / NIA NIH HHS P50 AG025688 / NIA NIH HHS P01 AG003991 / NIA NIH HHS P50 AG005146 / NIA NIH HHS P50 AG016573 / NIA NIH HHS P30 AG010124 / NIA NIH HHS U01 AG016976 / NIA NIH HHS P30 AG013846 / NIA NIH HHS P01 AG026276 / NIA NIH HHS P50 AG005138 / NIA NIH HHS P30 AG008051 / NIA NIH HHS P50 AG005134 / NIA NIH HHS P30 AG049638 / NIA NIH HHS P50 AG033514 / NIA NIH HHS P50 AG016574 / NIA NIH HHS P30 AG035982 / NIA NIH HHS P50 AG047266 / NIA NIH HHS P30 AG010161 / NIA NIH HHS P30 AG013854 / NIA NIH HHS P30 AG053760 / NIA NIH HHS
Academic Unit: Miller School of Medicine; Center on Aging; UMMG Dept of Psychiatry & Behavioral Sciences
Language: English
Resource Type: Journal article
PMID: 29240561
Record Identifier: 991031577448102976