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

• Type of Material: Article
• Authors: Sandra Weintraub, Northwestern University; Lilah Besser, University of Washington; Hiroko H. Dodge, Oregon Health and Science University; Merilee Teylan, University of Washington; Steven Ferris, New York University; Felicia Goldstein, Emory University; Bruno Giordani, University of Michigan; Joel Kramer, University of California San Francisco; David Loewenstein, Miller School of Medicine; Dan Marson, University of Alabama Birmingham; Dan Mungas, University of California Davis; David Salmon, University of California San Diego; Kathleen Welsh-Bohmer, Duke University; Xiao-Hua Zhou, University of Washington; Steven D. Shirk, ENRM Veterans Affairs Hospital; Alireza Atri, Ray Dolby Brain Health Center; Walter A. Kukull, University of Washington; Creighton Phelps, National Institute on Aging; John C. Morris, Washington University
• Language: English
• Date: 2018-01-01
• Publisher: Lippincott, Williams & Wilkins
• Publication Version: Final Published Version
• Copyright Statement: © 2017 The Author(s). Published by Wolters Kluwer Health, Inc.
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1097/WAD.0000000000000223
• Title of Journal or Parent Work: Alzheimer Disease and Associated Disorders
• ISSN: 0893-0341
• Volume: 32
• Issue: 1
• Start Page: 10
• End Page: 17
• Grant/Funding Information: NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), P50 AG047270 (PI Stephen Strittmatter, MD, PhD).; The NACC database is funded by NIA/NIH Grant U01 AG016976.
• Keywords: VALIDITY; Science & Technology; OLDER-ADULTS; dementia; MONTREAL COGNITIVE ASSESSMENT; Life Sciences & Biomedicine; MEMORY; UDS; ASSESSMENT MOCA; CENTER NACC DATABASE; POSTERIOR CORTICAL ATROPHY; neuropsychological test; DEMENTIA; cognition; IMPAIRMENT; Pathology; VALIDATION; Clinical Neurology; Neurosciences & Neurology
• Research Categories: Psychology, Behavioral; Biology, Neuroscience; Health Sciences, Epidemiology

Abstract

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. Methods: 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. Results: 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. Discussion: The UDSNB 3.0 neuropsychological battery provides a valuable non proprietary resource for conducting research on cognitive aging and dementia.