Assessment of Neurological and Behavioural Function: The NIH Toolbox
Available from: Marnee McKay
- "The 1000 Norms Project reference dataset will stimulate high impact research activity, enabling robust evaluations with sensitive outcome measures, analysis of clinically relevant subgroups and a greater understanding of the interactions and associations between different musculoskeletal and neurological measures of health. The need for standardised measures has also been identified by the National Institutes of Health (NIH) who developed the NIH Toolbox to advocate for standard assessment of neurological and behavioural function . The NIH Toolbox is a set of standard measures within the domains of cognition, motor function, sensory function and emotional health. "
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ABSTRACT: Clinical decision-making regarding diagnosis and management largely depends on comparison with healthy or 'normal' values. Physiotherapists and researchers therefore need access to robust patient-centred outcome measures and appropriate reference values. However there is a lack of high-quality reference data for many clinical measures. The aim of the 1000 Norms Project is to generate a freely accessible database of musculoskeletal and neurological reference values representative of the healthy population across the lifespan.
In 2012 the 1000 Norms Project Consortium defined the concept of 'normal', established a sampling strategy and selected measures based on clinical significance, psychometric properties and the need for reference data. Musculoskeletal and neurological items tapping the constructs of dexterity, balance, ambulation, joint range of motion, strength and power, endurance and motor planning will be collected in this cross-sectional study. Standardised questionnaires will evaluate quality of life, physical activity, and musculoskeletal health. Saliva DNA will be analysed for the ACTN3 genotype ('gene for speed'). A volunteer cohort of 1000 participants aged 3 to 100 years will be recruited according to a set of self-reported health criteria. Descriptive statistics will be generated, creating tables of mean values and standard deviations stratified for age and gender. Quantile regression equations will be used to generate age charts and age-specific centile values.
This project will be a powerful resource to assist physiotherapists and clinicians across all areas of healthcare to diagnose pathology, track disease progression and evaluate treatment response. This reference dataset will also contribute to the development of robust patient-centred clinical trial outcome measures.
Copyright © 2015 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.
Physiotherapy 01/2015; DOI:10.1016/j.physio.2014.12.002 · 1.91 Impact Factor
Available from: Natacha Akshoomoff
- "The NIH Toolbox for Assessment of Neurological and Behavioral Function SM was commissioned by the NIH Blueprint for Neuroscience Research to provide brief, efficient, and highly accessible tests to measure cognitive and emotional health, and provide a " common currency " for neurological research (Gershon et al., 2010). The NIH Toolbox divides tests into four domain batteries: Cognition, Sensation, Motor, and Emotion. "
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The NIH Toolbox Cognition Battery (NTCB) was designed to provide a brief, efficient computerized test of key neuropsychological functions appropriate for use in children as young as 3 years of age. This report describes the performance of a large group of typically developing children and adolescents and examines the impact of age and sociocultural variables on test performance.
The NTCB was administered to a sample of 1,020 typically developing males and females ranging in age from 3 to 20 years, diverse in terms of socioeconomic status (SES) and race/ethnicity, as part of the new publicly accessible Pediatric Imaging, Neurocognition, and Genetics (PING) data resource, at 9 sites across the United States.
General additive models of nonlinear age-functions were estimated from age-differences in test performance on the 8 NTCB subtests while controlling for family SES and genetic ancestry factors (GAFs). Age accounted for the majority of the variance across all NTCB scores, with additional significant contributions of gender on some measures, and of SES and race/ethnicity (GAFs) on all. After adjusting for age and gender, SES and GAFs explained a substantial proportion of the remaining unexplained variance in Picture Vocabulary scores.
The results highlight the sensitivity to developmental effects and efficiency of this new computerized assessment battery for neurodevelopmental research. Limitations are observed in the form of some ceiling effects in older children, some floor effects, particularly on executive function tests in the youngest participants, and evidence for variable measurement sensitivity to cultural/socioeconomic factors.
Neuropsychology 11/2013; 28(1). DOI:10.1037/neu0000001 · 3.27 Impact Factor
Available from: Elizabeth L Glisky
- "One these collaborations is the “NIH Toolbox for Assessment of Neurological and Behavioral Function” (www.nihtoolbox.org) which was established by the NIH to develop a common set of instruments to measure cognitive, emotional, motor and sensory function across diverse cultural, ethnic and geographic groups (Gershon et al., 2010). Participants range from age 3 to 85. From the cognitive aging perspective, a major shortcoming of the initial studies developing the toolbox is the allocation of adults from age 18 to 69 in a single age group, with another group ranging in age from 70 to 85. Individuals over 85, a rapidly increasing proportion of the population, are not included. "
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ABSTRACT: The gradual decline of cognitive ability with age, even in the absence of overt brain disease, is a growing problem. Although cognitive aging is a common and feared accompaniment of the aging process, its underlying mechanisms are not well understood and there are no highly effective means to prevent it. Additional research on cognitive aging is sorely needed, and methods that enable ready translation between human subjects and animal models stand to provide the most benefit. Here and in the six companion pieces in this special issue, we discuss a variety of challenges and opportunities for studying cognitive aging across species. We identify tests of associative memory, recognition memory, spatial and contextual memory, and working memory and executive function as cognitive domains that are age-sensitive and amenable to testing with parallel means in both humans and animal models. We summarize some of the important challenges in using animal models to test cognition. We describe unique opportunities to study cognitive aging in human subjects, such as those provided by recent large-scale initiatives to characterize cognition in large groups of subjects across the lifespan. Finally, we highlight some of the challenges of studying cognitive aging in human subjects.
Frontiers in Aging Neuroscience 09/2012; 4:6. DOI:10.3389/fnagi.2012.00006 · 4.00 Impact Factor
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