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Neurology | 2013

Cognition assessment using the NIH Toolbox

Sandra Weintraub; Sureyya Dikmen; Robert K. Heaton; David S. Tulsky; Philip David Zelazo; Patricia J. Bauer; Noelle E. Carlozzi; Jerry Slotkin; David L. Blitz; Kathleen Wallner-Allen; Nathan A. Fox; Jennifer L. Beaumont; Dan Mungas; Cindy J. Nowinski; Jennifer Richler; Joanne Deocampo; Jacob E. Anderson; Jennifer J. Manly; Beth G. Borosh; Richard Havlik; Kevin P. Conway; Emmeline Edwards; Lisa Freund; Jonathan W. King; Claudia S. Moy; Ellen Witt; Richard Gershon

Vision is a sensation that is created from complex processes and provides us with a representation of the world around us. There are many important aspects of vision, but visual acuity was judged to be the most appropriate vision assessment for the NIH Toolbox for Assessment of Neurological and Behavioral Function, both because of its central role in visual health and because acuity testing is common and relatively inexpensive to implement broadly. The impact of visual impairments on health-related quality of life also was viewed as important to assess, in order to gain a broad view of ones visual function. To test visual acuity, an easy-to-use software program was developed, based on the protocol used by the E-ETDRS. Children younger than 7 years were administered a version with only the letters H, O, T, and V. Reliability and validity of the Toolbox visual acuity test were very good. A 53-item vision-targeted, health-related quality of life survey was also developed.


Journal of The International Neuropsychological Society | 2014

The Cognition Battery of the NIH Toolbox for Assessment of Neurological and Behavioral Function: Validation in an Adult Sample

Sandra Weintraub; Sureyya Dikmen; Robert K. Heaton; David S. Tulsky; Philip David Zelazo; Jerry Slotkin; Noelle E. Carlozzi; Patricia J. Bauer; Kathleen Wallner-Allen; Nathan S. Fox; Richard Havlik; Jennifer L. Beaumont; Dan Mungas; Jennifer J. Manly; Claudia S. Moy; Kevin P. Conway; Emmeline Edwards; Cindy J. Nowinski; Richard Gershon

This study introduces a special series on validity studies of the Cognition Battery (CB) from the U.S. National Institutes of Health Toolbox for the Assessment of Neurological and Behavioral Function (NIHTB) (Gershon, Wagster et al., 2013) in an adult sample. This first study in the series describes the sample, each of the seven instruments in the NIHTB-CB briefly, and the general approach to data analysis. Data are provided on test-retest reliability and practice effects, and raw scores (mean, standard deviation, range) are presented for each instrument and the gold standard instruments used to measure construct validity. Accompanying papers provide details on each instrument, including information about instrument development, psychometric properties, age and education effects on performance, and convergent and discriminant construct validity. One study in the series is devoted to a factor analysis of the NIHTB-CB in adults and another describes the psychometric properties of three composite scores derived from the individual measures representing fluid and crystallized abilities and their combination. The NIHTB-CB is designed to provide a brief, comprehensive, common set of measures to allow comparisons among disparate studies and to improve scientific communication.


Monographs of The Society for Research in Child Development | 2013

NIH toolbox cognition battery (CB): Introduction and pediatric data

Sandra Weintraub; Patricia J. Bauer; Philip David Zelazo; Kathleen Wallner-Allen; Sureyya S. Dikmen; Robert K. Heaton; David S. Tulsky; Jerry Slotkin; David L. Blitz; Noelle E. Carlozzi; Richard Havlik; Jennifer L. Beaumont; Dan Mungas; Jennifer J. Manly; Beth G. Borosh; Cindy J. Nowinski; Richard Gershon

This monograph presents the pediatric portion of the National Institutes of Health (NIH) Toolbox Cognition Battery (CB) of the NIH Toolbox for the Assessment of Neurological and Behavioral Function. The NIH Toolbox is an initiative of the Neuroscience Blueprint, a collaborative framework through which 16 NIH Institutes, Centers, and Offices jointly support neuroscience-related research, to accelerate discoveries and reduce the burden of nervous system disorders. The CB is one of four modules that measure cognitive, emotional, sensory, and motor health across the lifespan. The CB is unique in its continuity across childhood, adolescence, early adulthood, and old age, and in order to help create a common currency among disparate studies, it is also available at low cost to researchers for use in large-scale longitudinal and epidemiologic studies. This chapter describes the evolution of the CB; methods for selecting cognitive subdomains and instruments; the rationale for test design; and a validation study in children and adolescents, ages 3-15 years. Subsequent chapters feature detailed discussions of each test measure and its psychometric properties (Chapters 2-6), the factor structure of the test battery (Chapter 7), the effects of age and education on composite test scores (Chapter 8), and a final summary and discussion (Chapter 9). As the chapters in this monograph demonstrate, the CB has excellent psychometric properties, and the validation study provided evidence for the increasing differentiation of cognitive abilities with age.


Neurology | 2013

Using the NIH Toolbox in special populations Considerations for assessment of pediatric, geriatric, culturally diverse, non–English-speaking, and disabled individuals

David Victorson; Jennifer J. Manly; Kathleen Wallner-Allen; Nathan S. Fox; Christy Purnell; Hugh C. Hendrie; Richard Havlik; Mark Harniss; Susan Magasi; Helena Correia; Richard Gershon

Background: In order to develop health outcomes measures that are relevant and applicable to the general population, it is essential to consider the needs and requirements of special subgroups, such as the young, elderly, disabled, and people of different ethnic and cultural backgrounds, within that population. Methods: The NIH Toolbox project convened several working groups to address assessment issues for the following subgroups: pediatric, geriatric, cultural, non–English-speaking, and disabled. Each group reviewed all NIH Toolbox instruments in their entirety. Results: Each working group provided recommendations to the scientific study teams regarding instrument content, presentation, and administration. When feasible and appropriate, instruments and administration procedures have been modified in accordance with these recommendations. Conclusion: Health outcome measurement can benefit from expert input regarding assessment considerations for special subgroups.


Monographs of The Society for Research in Child Development | 2013

I. NIH TOOLBOX COGNITION BATTERY (CB): INTRODUCTION AND PEDIATRIC DATA: NIH TOOLBOX COGNITION BATTERY (CB)

Sandra Weintraub; Patricia J. Bauer; Philip David Zelazo; Kathleen Wallner-Allen; Sureyya Dikmen; Robert K. Heaton; David S. Tulsky; Jerry Slotkin; David L. Blitz; Noelle E. Carlozzi; Richard Havlik; Jennifer L. Beaumont; Dan Mungas; Jennifer J. Manly; Beth G. Borosh; Cindy J. Nowinski; Richard Gershon

This monograph presents the pediatric portion of the National Institutes of Health (NIH) Toolbox Cognition Battery (CB) of the NIH Toolbox for the Assessment of Neurological and Behavioral Function. The NIH Toolbox is an initiative of the Neuroscience Blueprint, a collaborative framework through which 16 NIH Institutes, Centers, and Offices jointly support neuroscience-related research, to accelerate discoveries and reduce the burden of nervous system disorders. The CB is one of four modules that measure cognitive, emotional, sensory, and motor health across the lifespan. The CB is unique in its continuity across childhood, adolescence, early adulthood, and old age, and in order to help create a common currency among disparate studies, it is also available at low cost to researchers for use in large-scale longitudinal and epidemiologic studies. This chapter describes the evolution of the CB; methods for selecting cognitive subdomains and instruments; the rationale for test design; and a validation study in children and adolescents, ages 3-15 years. Subsequent chapters feature detailed discussions of each test measure and its psychometric properties (Chapters 2-6), the factor structure of the test battery (Chapter 7), the effects of age and education on composite test scores (Chapter 8), and a final summary and discussion (Chapter 9). As the chapters in this monograph demonstrate, the CB has excellent psychometric properties, and the validation study provided evidence for the increasing differentiation of cognitive abilities with age.


Monographs of The Society for Research in Child Development | 2013

NIH toolbox cognition battery (CB)

Sandra Weintraub; Patricia J. Bauer; Philip David Zelazo; Kathleen Wallner-Allen; Sureyya S. Dikmen; Robert K. Heaton; David S. Tulsky; Jerry Slotkin; David L. Blitz; Noelle E. Carlozzi; Richard Havlik; Jennifer L. Beaumont; Dan Mungas; Jennifer J. Manly; Beth G. Borosh; Cindy J. Nowinski; Richard Gershon

This monograph presents the pediatric portion of the National Institutes of Health (NIH) Toolbox Cognition Battery (CB) of the NIH Toolbox for the Assessment of Neurological and Behavioral Function. The NIH Toolbox is an initiative of the Neuroscience Blueprint, a collaborative framework through which 16 NIH Institutes, Centers, and Offices jointly support neuroscience-related research, to accelerate discoveries and reduce the burden of nervous system disorders. The CB is one of four modules that measure cognitive, emotional, sensory, and motor health across the lifespan. The CB is unique in its continuity across childhood, adolescence, early adulthood, and old age, and in order to help create a common currency among disparate studies, it is also available at low cost to researchers for use in large-scale longitudinal and epidemiologic studies. This chapter describes the evolution of the CB; methods for selecting cognitive subdomains and instruments; the rationale for test design; and a validation study in children and adolescents, ages 3-15 years. Subsequent chapters feature detailed discussions of each test measure and its psychometric properties (Chapters 2-6), the factor structure of the test battery (Chapter 7), the effects of age and education on composite test scores (Chapter 8), and a final summary and discussion (Chapter 9). As the chapters in this monograph demonstrate, the CB has excellent psychometric properties, and the validation study provided evidence for the increasing differentiation of cognitive abilities with age.


Alzheimers & Dementia | 2008

P2-247: An introduction to the National Institutes of Health (NIH) toolbox for assessment of neurological and behavioral function: Cognition domain

Sandra Weintraub; David S. Tulsky; Sureyya Dikmen; Robert K. Heaton; Nathan S. Fox; Richard Havlik; David L. Blitz; Nancy Chiavaralloti; Philip David Zelazo; Joanie Machamer; Nancy Carlozzi; Dan Mungas; Cindy J. Nowinski; Jerry Slotkin; Richard Gershon

Sandra Weintraub, David Tulsky, Sureyya Dikmen, Robert Heaton, Nathan Fox, Richard Havlik, David Blitz, Nancy Chiavaralloti, Philip Zelazo, Joanie Machamer, Nancy Carlozzi, Dan Mungas, Cindy Nowinski, Jerry Slotkin, Richard Gershon, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Kessler Medical Rehabilitation Research & Education Corporation, West Orange, NJ, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA; University of California San Diego, San Diego, CA, USA; Department of Human Development, University of Maryland, College Park, MD, USA; Westat, Bethesda, MD, USA; Center For Outcomes Research, Evanston-Northwestern Healthcare, Evanston, IL, USA; Department of Psychology, University of Minnesota, Minneapolis, MN, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, IL, USA; Kessler Medical Rehabilitation Research & Education Corporation, West Orange, IL, USA; University of California Davis, Davis, CA, USA. Contact e-mail: [email protected]


Lancet Neurology | 2010

Assessment of neurological and behavioural function: the NIH Toolbox.

Richard Gershon; David Cella; Nathan A. Fox; Richard Havlik; Hugh C. Hendrie; Molly V. Wagster


Neurology | 2013

Norming plans for the NIH Toolbox

Jennifer L. Beaumont; Richard Havlik; Karon F. Cook; Ron D. Hays; Kathleen Wallner-Allen; Samuel P. Korper; Jin Shei Lai; Christine Winquist Nord; Nicholas Zill; Seung W. Choi; Kathleen J. Yost; Vitali Ustsinovich; Pim Brouwers; Howard J. Hoffman; Richard Gershon


Neurology | 2013

Using the NIH Toolbox in special populations

David Victorson; Jennifer J. Manly; Kathleen Wallner-Allen; Nathan S. Fox; Christy Purnell; Hugh C. Hendrie; Richard Havlik; Mark Harniss; Susan Magasi; Helena Correia; Richard Gershon

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Nathan S. Fox

Icahn School of Medicine at Mount Sinai

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Dan Mungas

University of California

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David S. Tulsky

University of Medicine and Dentistry of New Jersey

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Jerry Slotkin

NorthShore University HealthSystem

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