Cindy J. Nowinski

Cognition assessment using the NIH Toolbox

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.

Neuro-QOL Brief measures of health-related quality of life for clinical research in neurology

Objective: To address the need for brief, reliable, valid, and standardized quality of life (QOL) assessment applicable across neurologic conditions. Methods: Drawing from larger calibrated item banks, we developed short measures (8–9 items each) of 13 different QOL domains across physical, mental, and social health and evaluated their validity and reliability. Three samples were utilized during short form development: general population (Internet-based, n = 2,113); clinical panel (Internet-based, n = 553); and clinical outpatient (clinic-based, n = 581). All short forms are expressed as T scores with a mean of 50 and SD of 10. Results: Internal consistency (Cronbach α) of the 13 short forms ranged from 0.85 to 0.97. Correlations between short form and full-length item bank scores ranged from 0.88 to 0.99 (0.82–0.96 after removing common items from banks). Online respondents were asked whether they had any of 19 different chronic health conditions, and whether or not those reported conditions interfered with ability to function normally. All short forms, across physical, mental, and social health, were able to separate people who reported no health condition from those who reported 1–2 or 3 or more. In addition, scores on all 13 domains were worse for people who acknowledged being limited by the health conditions they reported, compared to those who reported conditions but were not limited by them. Conclusion: These 13 brief measures of self-reported QOL are reliable and show preliminary evidence of concurrent validity inasmuch as they differentiate people based upon number of reported health conditions and whether those reported conditions impede normal function.

NIH Toolbox for Assessment of Neurological and Behavioral Function

At present, there are many studies that collect information on aspects of neurologic and behavioral function (cognition, sensation, movement, emotion), but with little uniformity among the measures used to capture these constructs. Further, available measures are generally expensive, normed on homogenous nondiverse populations, not easily administered, do not cover the lifespan (or have easily linked pediatric and adult counterparts for the purposes of longitudinal comparison), and not based on the current thinking in the neuroscience community. There is also a paucity of measurement tools to gauge normal children in the motor and sensation domain areas, and many of these measures rely heavily on proxy reporting. Investigators have expressed the need for brief assessment tools that could address these issues and be used as a form of “common currency” across diverse study designs and populations. This ability to assess functionality along a common metric and “crosswalk” across measures is essential to the process of being able to pool data, which is often necessary when a large and diverse sample is needed. When individual studies employ unique assessment batteries, comparisons between studies and combining data from multiple studies can be problematic. The contract for the NIH Toolbox for the Assessment of Neurological and Behavioral Function (www.nihtoolbox.org) was initiated by the NIH Blueprint for Neuroscience Research (www.neuroscienceblueprint.nih.gov) to develop a set of state-of-the-art measurement tools to enhance collection of data in large cohort studies and to advance the biomedical research enterprise.

The neurology quality-of-life measurement initiative.

OBJECTIVE To describe the development and calibration of the banks and scales of the Quality of Life in Neurological Disorders (Neuro-QOL) project, commissioned by the National Institute of Neurological Disorders and Stroke to develop a bilingual (English/Spanish), clinically relevant, and psychometrically robust health-related quality-of-life (HRQOL) assessment tool. DESIGN Classic and modern test construction methods were used, including input from essential stakeholder groups. SETTING An online patient panel testing service and 11 academic medical centers and clinics from across the United States and Puerto Rico that treat major neurologic disorders. PARTICIPANTS Adult and pediatric patients representing different neurologic disorders specified in this study, proxy respondents for select conditions (stroke, pediatric conditions), and English- and Spanish-speaking participants from the general population. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Multiple generic and condition-specific measures used to provide construct validity evidence for the new Neuro-QOL tool. RESULTS Neuro-QOL has developed 14 generic item banks and 8 targeted scales to assess HRQOL in 5 adult (stroke, multiple sclerosis, Parkinsons disease, epilepsy, amyotrophic lateral sclerosis) and 2 pediatric conditions (epilepsy, muscular dystrophies). CONCLUSIONS The Neuro-QOL system will continue to evolve, with validation efforts in clinical populations and new bank development in health domains not presently included. The potential for Neuro-QOL measures in rehabilitation research and clinical settings is discussed.

Using Focus Groups To Inform the Neuro-QOL Measurement Tool : Exploring Patient-Centered, Health-Related Quality of Life Concepts Across Neurological Conditions

&NA; Measurement of health‐related quality of life (HRQL) is of particular importance in neurology clinical trials, where differences in clinical measurements or laboratory data may not translate into significant benefit to the patients. A fundamental consideration in the development and use of an HRQL instrument is whether the instruments conceptual framework accurately reflects the HRQL experience of the population of interest. This study details the findings from formative research that focused on the identification of content area for an HRQL measurement system in neurology. Specifically, 11 focus groups were conducted with caregivers and patients diagnosed with 7 neurological conditions that represented a range of symptomatology and ages. Through an analytic process using techniques derived from grounded theory, several themes emerged that describe the complexity of HRQL issues and the impact of neurological disorders on multiple areas of life functioning and experience. Findings suggest that although HRQL is comparable across neurological disorders, the contribution of specific domains to overall HRQL may differ among disorders.

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

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.

Quality-of-Life Measures in Children With Neurological Conditions Pediatric Neuro-QOL

Background. A comprehensive, reliable, and valid measurement system is needed to monitor changes in children with neurological conditions who experience lifelong functional limitations. Objective. This article describes the development and psychometric properties of the pediatric version of the Quality of Life in Neurological Disorders (Neuro-QOL) measurement system. Methods. The pediatric Neuro-QOL consists of generic and targeted measures. Literature review, focus groups, individual interviews, cognitive interviews of children and consensus meetings were used to identify and finalize relevant domains and item content. Testing was conducted on 1018 children aged 10 to 17 years drawn from the US general population for generic measures and 171 similarly aged children with muscular dystrophy or epilepsy for targeted measures. Dimensionality was evaluated using factor analytic methods. For unidimensional domains, item parameters were estimated using item response theory models. Measures with acceptable fit indices were calibrated as item banks; those without acceptable fit indices were treated as summary scales. Results. Ten measures were developed: 8 generic or targeted banks (anxiety, depression, anger, interaction with peers, fatigue, pain, applied cognition, and stigma) and 2 generic scales (upper and lower extremity function). The banks reliably (r > 0.90) measured 63.2% to 100% of the children tested. Conclusions. The pediatric Neuro-QOL is a comprehensive measurement system with acceptable psychometric properties that could be used in computerized adaptive testing. The next step is to validate these measures in various clinical populations.

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

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.

Advances and innovations in brain arteriovenous malformation surgery

Arteriovenous malformations (AVMs) of the brain are very complex and intriguing pathologies. Since their initial description by Luschka and Virchow in the middle of the 19th century, multiple advances and innovations have revolutionized their management and surgical treatment. Here, we review the historical landmarks in the surgical treatment of AVMs and then illustrate the most recent and futuristic technologies aiming to improve outcomes in AVM surgeries. In particular, we examine potential advances in patient selection, imaging, surgical technique, neuroanesthesia, and postoperative neuro-rehabilitation and quantitative assessments. Finally, we illustrate how concurrent advances in radiosurgery and endovascular techniques might present new opportunities to treat AVMs more safely from a surgical perspective.

Which Psychosocial Factors Best Predict Cognitive Performance in Older Adults

Negative affect (e.g., depression) is associated with accelerated age-related cognitive decline and heightened dementia risk. Fewer studies examine positive psychosocial factors (e.g., emotional support, self-efficacy) in cognitive aging. Preliminary reports suggest that these variables predict slower cognitive decline independent of negative affect. No reports have examined these factors in a single model to determine which best relate to cognition. Data from 482 individuals 55 and older came from the normative sample for the NIH Toolbox for the Assessment of Neurological and Behavioral Function. Negative and positive psychosocial factors, executive functioning, working memory, processing speed, and episodic memory were measured with the NIH Toolbox Emotion and Cognition modules. Confirmatory factor analysis and structural equation modeling characterized independent relations between psychosocial factors and cognition. Psychosocial variables loaded onto negative and positive factors. Independent of education, negative affect and health status, greater emotional support was associated with better task-switching and processing speed. Greater self-efficacy was associated with better working memory. Negative affect was not independently associated with any cognitive variables. Findings support the conceptual distinctness of negative and positive psychosocial factors in older adults. Emotional support and self-efficacy may be more closely tied to cognition than other psychosocial variables.