Validation of the NIH Toolbox Cognitive Battery in intellectual disability

Shields, Rebecca; Kaat, Aaron J.; McKenzie, Forrest J.; Drayton, Andrea; Sansone, Stephanie M.; Coleman, Jeanine; Michalak, Claire; Riley, Karen; Berry‐Kravis, Elizabeth; Gershon, Richard; Widaman, Keith F.; Hessl, David

doi:10.1212/wnl.0000000000009131

Cited by 51 publications

(71 citation statements)

References 31 publications

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“…Such a test is very much needed; however, the BRIEF and BRIEF-P have been used as appropriate psychometric tools to assess the cognitive components of EF in children with DS ( Esbensen et al., 2019 ). Some new tools to measure EF have also been proposed, such as the NIH Toolbox cognitive battery for intellectual disability, which has an excellent feasibility and sensitivity to determine cognitive phenotypes in specific syndromes such as DS ( Shields et al., 2020 ). Additional investigations are needed to develop a more accurate evaluation test for this population.…”

Section: Discussionmentioning

confidence: 99%

“…Regarding EF evaluation in patients with DS, different assessment tools have been standardized for intellectual disability and DS specifically. For example, London Tower, NIH Toolbox cognitive battery for intellectual disability ( Shields et al., 2020 ) and the Stroop and Digit Span tasks ( Sabat et al., 2020 ). However, Daunhauer et al.…”

Section: Introductionmentioning

confidence: 99%

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Executive function in down syndrome children in Bogotá, Colombia

Manrique-Niño

Díaz-Forero

Vélez-van-Meerbeke

et al. 2020

Heliyon

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The study aim was to characterize executive function in 114 children with Down syndrome from a reference institution in Bogotá, Colombia. Children were screened with the Battelle Developmental Inventory to establish their developmental age. Eighty children with an equivalent mental age of 2–5.11 years were allocated to groups of 20 according to their mental age. Parents and teachers then completed the Behavior Rating Inventory of Executive Function-Preschool Version. We found a high variability and a low correlation between parent and teacher ratings. In general, children showed a specific profile characterized by weakness in the domains of working memory, shifting, planning, and organization, and strengths in the emotional control domain. These findings indicate a characteristic pattern of executive function in children with Down syndrome. This profile could form the basis for the planning of clinical assessment programs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Executive function in down syndrome children in Bogotá, Colombia

Manrique-Niño

Díaz-Forero

Vélez-van-Meerbeke

et al. 2020

Heliyon

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“…Of the included studies that used existing rating scales, 'responsiveness to change' was discussed for Dementia Care Mapping, the Vineland Adaptive Behavior Scale and the Behavior Problems Inventory (46)(47)(48). Of interest to heterogeneous populations with ID is the recently introduced NIH battery of neuropsychological assessments which is increasingly validated (49).…”

Section: Limitations Of the N-of-1 Studies Identifiedmentioning

confidence: 99%

Systematic Review of N-of-1 Studies in Rare Genetic Neurodevelopmental Disorders

et al. 2021

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Objective:To improve the use of N-of-1 studies in rare genetic neurodevelopmental disorders, we systematically reviewed the literature and formulated recommendations for future studies.Methods:The systematic review protocol was registered in the PROSPERO International Prospective Register of Systematic Reviews (CRD42020154720). EMBASE and MEDLINE were searched for relevant studies. Information was recorded on types of interventions, outcome measures, validity, strengths and limitations using standard reporting guidelines and critical appraisal tools. Qualitative and descriptive analyses were performed.Results:Twelve studies met N-of-1 inclusion criteria, including both single trials and series. Interventions were mainly directed to neuropsychiatric manifestations. Main strengths were the use of personalized and clinically relevant outcomes in most studies. Generalizability was compromised due to limited use of validated and generalizable outcome measures.Conclusion:N-of-1 studies are sporadically reported in rare genetic neurodevelopmental disorders. Properly executed N-of-1 studies may provide a powerful alternative to larger randomized controlled trials in rare disorders and a much needed bridge between practice and science. We provide recommendations for future N-of-1 studies in rare genetic neurodevelopmental disorders, ultimately optimizing evidence-based and personalized care.

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“…The CDC FORWARD Component-C projects (RFA# U01DD001190) were funded with the goal of evaluating new outcome measures in FXS and documenting the longitudinal trajectory of FXS cognitive and behavioral profiles over one's lifespan. Progress has been made over the past 5 years in the Fragile X field by evaluating more objective outcome measures that do not involve parental reporting, including measures of attention [40], expressive language [41,42], and executive functioning [43,44]. Eye tracking technology has been used to examine aspects of social attention while viewing videos [45,46], as well as in a naturalistic setting [47].…”

Section: Fxs Clinical Trials and Outcome Measuresmentioning

confidence: 99%

Evaluating Social Interactions Using the Autism Screening Instrument for Education Planning-3rd Edition (ASIEP-3): Interaction Assessment in Children and Adults with Fragile X Syndrome

et al. 2020

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An efficient and direct measure of social interactions and autism symptoms is needed for fragile X syndrome (FXS) research and clinical care. The Autism Screening Instrument for Educational Planning-Third Edition (ASIEP-3) Interaction assessment is a brief standardized measure that quantifies social responses under different conditions. The feasibility and validity of the ASIEP-3 was evaluated in 26 males and 13 females with FXS, along with cognitive testing and behavior questionnaires. The videos were scored at 10-second intervals, and the observed behaviors were scored as an interaction, independent play, no response, or aggression. In total, 39/41 participants successfully completed the ASIEP-3 (age M = 14.4 ± 10.2), with a range of cognitive abilities (abbreviated IQ (ABIQ) M = 58.9 ± 17.3, median = 50), behaviors (Aberrant Behavior Checklist (ABC) Total M = 37.00 ± 27.3), and autism diagnoses (N = 22/39). Reliable administration was demonstrated by all team members. The mean coded behaviors included interaction (40.6%), independent play (36.8%), no response (21.1%), and aggressive behavior (<10%). The interaction score was negatively correlated with the Social Communication Questionnaire (SCQ) score (p = 0.037), and the profiles differed by autism spectrum disorder (ASD) diagnosis. The intraclass correlation coefficients (ICCs) ranged from 0.79 to 0.93 for master’s level and above. Administration of the ASIEP-3 was feasible for FXS across sex, age, ability, and behavior ratings by a trained research team. Reliable scoring required advanced training in the assessment of social development and FXS experience. The scores correlated to ratings and diagnoses of ASD. The ASIEP-3 shows promise to reliably index social interactions in FXS.

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Validation of the NIH Toolbox Cognitive Battery in intellectual disability

Cited by 51 publications

References 31 publications

Executive function in down syndrome children in Bogotá, Colombia

Executive function in down syndrome children in Bogotá, Colombia

Systematic Review of N-of-1 Studies in Rare Genetic Neurodevelopmental Disorders

Evaluating Social Interactions Using the Autism Screening Instrument for Education Planning-3rd Edition (ASIEP-3): Interaction Assessment in Children and Adults with Fragile X Syndrome

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