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

Published online by Cambridge University Press:  24 June 2014

Sandra Weintraub ,
Sureyya S. Dikmen ,
Robert K. Heaton ,
David S. Tulsky ,
Philip David Zelazo ,
Jerry Slotkin ,
Noelle E. Carlozzi ,
Patricia J. Bauer ,
Kathleen Wallner-Allen  and
Nathan Fox
...Show all authors
Sandra Weintraub*
Affiliation:
Cognitive Neurology and Alzheimer’s Disease Center; Departments of Psychiatry and Neurology, Northwestern Feinberg School of Medicine, Chicago, Illinois
Sureyya S. Dikmen
Affiliation:
Department of Rehabilitation Medicine, University of Washington, Seattle, Washington
Robert K. Heaton
Affiliation:
Department of Psychiatry, University of California, San Diego, California
David S. Tulsky
Affiliation:
Departments of Rehabilitation Medicine, Orthopedic Surgery, and General Medicine, New York University Langone Medical Center, New York, New York Spinal Cord Injury and Outcomes Laboratories, Kessler Foundation, West Orange, New Jersey
Philip David Zelazo
Affiliation:
Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
Jerry Slotkin
Affiliation:
Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
Noelle E. Carlozzi
Affiliation:
Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan
Patricia J. Bauer
Affiliation:
Department of Psychology, Emory University, Atlanta, Georgia
Kathleen Wallner-Allen
Affiliation:
Westat, Rockville, Maryland
Nathan Fox
Affiliation:
Department of Human Development, University of Maryland, College Park, Maryland
Richard Havlik
Affiliation:
Westat, Rockville, Maryland
Jennifer L. Beaumont
Affiliation:
Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
Dan Mungas
Affiliation:
Department of Neurology, University of California, Davis, California
Jennifer J. Manly
Affiliation:
Cognitive Neuroscience Division, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York
Claudia Moy
Affiliation:
National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
Kevin Conway
Affiliation:
National Institute on Drug Abuse, Rockville, Maryland
Emmeline Edwards
Affiliation:
National Center for Complementary and Alternative Medicine, Bethesda, Maryland
Cindy J. Nowinski
Affiliation:
Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
Richard Gershon
Affiliation:
Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
*
Correspondence and reprint requests to: Cognitive Neurology and Alzheimer's Disease Center Northwestern Feinberg School of Medicine 320 E. Superior, Searle 11-467 Chicago, IL 60610E-mail: [email protected]
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Abstract

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. (JINS, 2014, 20, 1–12)

Keywords

NIH BlueprintNeuropsychological testLanguage testMemory testLifespan
Type
Special Series
Information
Journal of the International Neuropsychological Society , Volume 20 , Issue 6 , July 2014 , pp. 567 - 578
Copyright
Copyright © The International Neuropsychological Society 2014 

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References

REFERENCES

Akshoomoff, N., Beaumont, J.L., Bauer, P.J., Dikmen, S.S., Gershon, R.C., Mungas, D., … Heaton, R.K. (2013). Nih toolbox cognition battery (cb): Composite scores of crystallized, fluid, and overall cognition. Monographs of the Society for Research in Child Development, 78(4), 119–132. doi:10.1111/mono.12038Google Scholar
Akshoomoff, N., Newman, E., Thompson, W.K., McCabe, C., Bloss, C.S., Chang, L., … Jernigan, T.L. (2014). The NIH Toolbox Cognition Battery: Results from a large normative developmental sample (PING). Neuropsychology, 28(1), 1–10. doi:10.1037/neu0000001CrossRefGoogle ScholarPubMed
Anderson, V., Catroppa, C., Morse, S., Haritou, F., & Rosenfeld, J. (2005). Functional plasticity or vulnerability after early brain injury? Pediatrics, 116(6), 1374–1382. doi:10.1542/peds.2004-1728Google Scholar
Andresen, E.M. (2000). Criteria for assessing the tools of disability outcomes research. Archives of Physical Medicine and Rehabilitation, 81(12 Suppl. 2), S15–S20.CrossRefGoogle ScholarPubMed
Barnes, D.E., & Yaffe, K. (2011). The projected effect of risk factor reduction on Alzheimer's disease prevalence. Lancet Neurology, 10(9), 819–828. doi:10.1016/S1474-4422(11)70072-2CrossRefGoogle ScholarPubMed
Bauer, P.J., & Zelazo, P.D. (2013). IX. NIH toolbox cognition battery (cb): Summary, conclusions, and implications for cognitive development. Monographs of the Society for Research in Child Development, 78(4), 133–146. doi:10.1111/mono.12039Google Scholar
Bauer, P.J. (2007). Remembering the times of our lives: Memory in infancy and beyond. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Beaumont, J.L., Havlik, R., Cook, K.F., Hays, R.D., Wallner-Allen, K., Korper, S.P., … Gershon, R. (2013). Norming plans for the NIH Toolbox. Neurology, 80(11 Suppl. 3), S87–S92. doi:10.1212/WNL.0b013e3182872e70CrossRefGoogle ScholarPubMed
Benedict, R. (1997). Brief Visuospatial Memory Test-Revised. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
Brookmeyer, R., Gray, S., & Kawas, C. (1998). Projections of Alzheimer’s disease in the United States and the public health impact of delaying disease onset. American Journal of Public Health, 88(9), 1337–1342.Google Scholar
Cabeza, R., Dolcos, F., Graham, R., & Nyberg, L. (2002). Similarities and differences in the neural correlates of episodic memory retrieval and working memory. Neuroimage, 16(2), 317–330. doi:10.1006/nimg.2002.1063Google Scholar
Carlozzi, N.E., Tulsky, D.S., Kail, R.V., & Beaumont, J.L. (2013). VI. NIH toolbox cognition battery (cb): Measuring processing speed. Monographs of the Society for Research in Child Development, 78(4), 88–102. doi:10.1111/mono.12036Google Scholar
Cernich, A., Reeves, D., Sun, W., & Bleiberg, J. (2007). Automated Neuropsychological Assessment Metrics sports medicine battery. Archives of Clinical Neuropsychology, 22(Suppl. 1), S101–S114.Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.CrossRefGoogle ScholarPubMed
Coldwell, S.E., Mennella, J.A., Duffy, V.B., Pelchat, M.L., Griffith, J.W., Smutzer, G., … Hoffman, H.J. (2013). Gustation assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S20–S24.CrossRefGoogle ScholarPubMed
Cook, K.F., Dunn, W., Griffith, J.W., Morrison, M.T., Tanquary, J., Sabata, D., … Gershon, R.C. (2013). Pain assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S49–S53.CrossRefGoogle ScholarPubMed
Dalton, P., Doty, R.L., Murphy, C., Frank, R., Hoffman, H.J., Maute, C., … Slotkin, J. (2013). Olfactory assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S32–S36.Google Scholar
Dikmen, S.S., Heaton, R.K., Grant, I., & Temkin, N.R. (1999). Test-retest reliability and practice effects of expanded Halstead-Reitan Neuropsychological Test Battery. Journal of the International Neuropsychological Society, 5(4), 346–356.CrossRefGoogle ScholarPubMed
Duff, K., Beglinger, L.J., Schoenberg, M.R., Patton, D.E., Mold, J., Scott, J.G., … Adams, R.L. (2005). Test-retest stability and practice effects of the RBANS in a community dwelling elderly sample. Journal of Clinical and Experimental Neuropsychology, 27, 265–575.Google Scholar
Dunn, W., Griffith, J.W., Morrison, M.T., Tanquary, J., Sabata, D., Victorson, D., … Gershon, R.C. (2013). Somatosensation assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S41–S44.Google Scholar
Erlanger, D.M., Kutner, K.C., Barth, J.T., & Barnes, R. (1999). Neuropsychology of sports-related head injury: Dementia Pugilistica to Post Concussion Syndrome. The Clinical Neuropsychologist, 13(2), 193–209. doi:10.1076/clin.13.2.193.1963Google Scholar
Fan, J., McCandliss, B.D., Sommer, T., Raz, A., & Posner, M.I. (2002). Testing the efficiency and independence of attentional networks. Journal of Cognitive Neuroscience, 14(3), 340–347.Google Scholar
Fox, N.A. (2013). Commentary on zelazo and bauer (editors), national institutes of health toolbox cognition battery (CB): Validation for children between 3 and 15 years. Monographs of the Society for Research in Child Development, 78(4), 150–155. doi:10.1111/mono.12044Google Scholar
Gershon, R.C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6(1), 109–127.Google Scholar
Gershon, R.C., Wagster, M.V., Hendrie, H.C., Fox, N.A., Cook, K.F., & Nowinski, C.J. (2013). Responding to the needs of the neurology research community: Introduction to the NIH Toolbox for the Assessment of Neurological and Behavioral Function. Neurology, 80(11 Suppl. 3), S2–S6.Google Scholar
Gershon, R.C., Slotkin, J., Manly, J., Blitz, D., Beaumont, J., Schnipke, D., … Weintraub, S. (2013). IV. NIH toolbox cognitive battery (CB): Measuring language (vocabulary comprehension and reading decoding). Monographs of the Society for Research in Child Development, 78(9), 49–69.CrossRefGoogle ScholarPubMed
Hodes, R.J., Insel, T.R., Landis, S.C. (2013). The NIH toolbox: Setting a standard for biomedical research. Neurology, 80(11 Suppl. 3), S1. doi:10.1212/WNL.0b013e3182872e90CrossRefGoogle ScholarPubMed
Lechuga, M.T., Marcos-Ruiz, R., & Bauer, P.J. (2001). Episodic recall of specifics and generalisation coexist in 25-month-old children. Memory, 9(2), 117–132.Google Scholar
Lukowski, A.F., Garcia, M.T., & Bauer, P.J. (2011). Memory for events and locations obtained in the context of elicited imitation: Evidence for differential retention in the second year of life. Infant Behavior & Development, 34(1), 55–62. doi:S0163-6383(10)00104-9 [pii] 10.1016/j.infbeh.2010.09.006Google Scholar
McKee, A.C., Cantu, R.C., Nowinski, C.J., Hedley-Whyte, E.T., Gavett, B.E., Budson, A.E., … Stern, R.A. (2009). Chronic traumatic encephalopathy in athletes: Progressive tauopathy after repetitive head injury. Journal of Neuropathology and Expimental Neurology, 68(7), 709–735. doi:10.1097/NEN.0b013e3181a9d503Google Scholar
Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., Howerter, A., & Wager, T.D. (2000). The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. doi:10.1006/cogp.1999.0734CrossRefGoogle ScholarPubMed
Mungas, D., Reed, B.R., Marshall, S.C., & Gonzalez, H.M. (2000). Development of psychometrically matched English and Spanish language neuropsychological tests for older persons. Neuropsychology, 14(2), 209–223.Google Scholar
Mungas, D., Reed, B.R., Crane, P.K., Haan, M.N., & González, H. (2004). Spanish and English Neuropsychological Assessment Scales (SENAS): Further development and psychometric characteristics. Psychological Assessment, 16, 347–359.Google Scholar
Mungas, D., Widaman, K., Zelazo, P.D., Tulsky, D., Heaton, R., Slotkin, J., … Gershon, R.C. (2013). VII. NIH toolbox cognitive battery (CB): Factor structure for 3- to 15-year-olds. Monographs of the Society for Research in Child Development, 78, 103–118.Google Scholar
Nowinski, C.J., Victorson, D., Debb, S.M., & Gershon, R.C. (2013). Input on NIH Toolbox inclusion criteria: Surveying the end-user community. Neurology, 80(11 Suppl. 3), S7–S12.Google Scholar
Reuben, D.B., Magasi, S., McCreath, H.E., Bohannon, R.W., Wang, Y.C., Bubela, D.J., … Gershon, R.C. (2013). Motor assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S65–S75.CrossRefGoogle ScholarPubMed
Rey, A. (1958). L'examen clinique en psychologie. Paris: Presses Universitaires de France.Google Scholar
Rine, R.M., Schubert, M.C., Whitney, S.L., Roberts, D., Redfern, M.S., Musolino, M.C., … Slotkin, J. (2013). Vestibular function assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S25–S31. doi:10.1212/WNL.0b013e3182872c6aCrossRefGoogle ScholarPubMed
Salsman, J.M., Butt, Z., Pilkonis, P.A., Cyranowski, J.M., Zill, N., Hendrie, H.C., … Cella, D. (2013). Emotion assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S76–S86.Google Scholar
Salthouse, T.A. (1992). Influence of processing speed on adult age differences in working memory. Acta Psychologica, 79(2), 155–170.CrossRefGoogle ScholarPubMed
Shao, H., Breitner, J.C., Whitmer, R.A., Wang, J., Hayden, K., Wengreen, H., … For the Cache County, Investigators. (2012). Hormone therapy and Alzheimer disease dementia: New findings from the Cache County Study. Neurology, 79(18), 1846–1852. doi:10.1212/WNL.0b013e318271f823CrossRefGoogle ScholarPubMed
Tulsky, D.S., Carlozzi, N.E., Chevalier, N., Espy, K.A., Beaumont, J.L., & Mungas, D. (2013). NIH toolbox cognition battery (cb): Measuring working memory. Monographs of the Society for Research in Child Development, 78(4), 70–87. doi:10.1111/mono.12035Google Scholar
Varma, R., McKean-Cowdin, R., Vitale, S., Slotkin, J., & Hays, R.D. (2013). Vision assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S37–S40. doi:10.1212/WNL.0b013e3182876e0aGoogle Scholar
Victorson, D., Manly, J., Wallner-Allen, K., Fox, N., Purnell, C., Hendrie, H., … Gershon, R. (2013). Using the NIH Toolbox in special populations: Considerations for assessment of pediatric, geriatric, culturally diverse, non-English-speaking, and disabled individuals. Neurology, 80(11 Suppl. 3), S13–S19. doi:10.1212/WNL.0b013e3182872e26Google Scholar
Weintraub, S., Bauer, P.J., Zelazo, P.D., Wallner-Allen, K., Dikmen, S.S., Heaton, R.K., … Gershon, R.C. (2013). I. NIH toolbox cognition battery (CB): Introduction and pediatric data. Monographs of the Society for Research in Child Development, 78(4), 1–149. doi:10.1111/mono.12031Google Scholar
Weintraub, S., Dikmen, S.S., Heaton, R.K., Tulsky, D.S., Zelazo, P.D., Bauer, P.J., … Gershon, R.C. (2013). Cognition assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S54–S64. doi:10.1212/WNL.0b013e3182872dedGoogle Scholar
Wolf, M.S., Curtis, L.M., Wilson, E.A., Revelle, W., Waite, K.R., Smith, S.G., … Baker, D.W. (2012). Literacy, cognitive function, and health: Results of the LitCog study. Journal of General Internal Medicine, 27(10), 1300–1307. doi:10.1007/s11606-012-2079-4CrossRefGoogle ScholarPubMed
Zecker, S.G., Hoffman, H.J., Frisina, R., Dubno, J.R., Dhar, S., Wallhagen, M., … Wilson, R.H. (2013). Audition assessment using the NIH Toolbox. Neurology, 80(11 Suppl. 3), S45–S48. doi:10.1212/WNL.0b013e3182872dd2CrossRefGoogle ScholarPubMed
Zelazo, P.D. (2006). The Dimensional Change Card Sort (DCCS): A method of assessing executive function in children. Nature Protocols, 1, 297–301.Google Scholar
Zelazo, P.D., Anderson, J.E., Richler., J., Wallner-Allen, K., Beaumont, J.L., & Weintraub, S. (2013). II. NIH toolbox cognitive battery (CB): Measuring executive function and attention. Monographs of the Society for Research in Child Development, 78, 16–33.Google Scholar