Literature DB >> 24960594

NIH Toolbox Cognitive Battery (NIHTB-CB): the NIHTB Pattern Comparison Processing Speed Test.

Noelle E Carlozzi1, David S Tulsky2, Nancy D Chiaravalloti3, Jennifer L Beaumont4, Sandra Weintraub5, Kevin Conway6, Richard C Gershon4.   

Abstract

The NIH Toolbox (NIHTB) Pattern Comparison Processing Speed Test was developed to assess processing speed within the NIHTB for the Assessment of Neurological Behavior and Function Cognition Battery (NIHTB-CB). This study highlights validation data collected in adults ages 18-85 on this measure and reports descriptive data, test-retest reliability, construct validity, and preliminary work creating a composite index of processing speed. Results indicated good test-retest reliability. There was also evidence for both convergent and discriminant validity; the Pattern Comparison Processing Speed Test demonstrated moderate significant correlations with other processing speed tests (i.e., WAIS-IV Coding, Symbol Search and Processing Speed Index), small significant correlations with measures of working memory (i.e., WAIS-IV Letter-Number Sequencing and PASAT), and non-significant correlations with a test of vocabulary comprehension (i.e., PPVT-IV). Finally, analyses comparing and combining scores on the NIHTB Pattern Comparison Processing Speed Test with other measures of simple reaction time from the NIHTB-CB indicated that a Processing Speed Composite score performed better than any test examined in isolation. The NIHTB Pattern Comparison Processing Speed Test exhibits several strengths: it is appropriate for use across the lifespan (ages, 3-85 years), it is short and easy to administer, and it has high construct validity.

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Mesh:

Year:  2014        PMID: 24960594      PMCID: PMC4424947          DOI: 10.1017/S1355617714000319

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


  53 in total

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3.  Cortico-striatal connectivity and cognition in normal aging: a combined DTI and resting state fMRI study.

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4.  Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging.

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Journal:  J Int Neuropsychol Soc       Date:  2009-05       Impact factor: 2.892

5.  Assessment of neurological and behavioural function: the NIH Toolbox.

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6.  Effects of training of processing speed on neural systems.

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8.  Processing speed interacts with working memory efficiency in multiple sclerosis.

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Journal:  JAMA       Date:  2010-05-12       Impact factor: 56.272

10.  Processing speed is correlated with cerebral health markers in the frontal lobes as quantified by neuroimaging.

Authors:  P Kochunov; T Coyle; J Lancaster; D A Robin; J Hardies; V Kochunov; G Bartzokis; J Stanley; D Royall; A E Schlosser; M Null; P T Fox
Journal:  Neuroimage       Date:  2009-09-28       Impact factor: 6.556

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  37 in total

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5.  The NIH Toolbox Pattern Comparison Processing Speed Test: Normative Data.

Authors:  Noelle E Carlozzi; Jennifer L Beaumont; David S Tulsky; Richard C Gershon
Journal:  Arch Clin Neuropsychol       Date:  2015-05-29       Impact factor: 2.813

6.  Sleep, hippocampal volume, and cognition in adults over 90 years old.

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7.  Motor-free composites from the National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) for people with disabilities.

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8.  "Cognitive, emotion control, and motor performance of adolescents in the NCANDA study: Contributions from alcohol consumption, age, sex, ethnicity, and family history of addiction": Correction to Sullivan et al. (2016).

Authors: 
Journal:  Neuropsychology       Date:  2016-08-08       Impact factor: 3.295

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10.  Uncorrected versus demographically-corrected scores on the NIH Toolbox Cognition Battery in persons with traumatic brain injury and stroke.

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Journal:  Rehabil Psychol       Date:  2017-11
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