Evidence map›Paper›PMID 33006263›Full record

ArticleAutism research : official journal of the International Society for Autism Research2021

Using the NIH Toolbox to Assess Cognition in Adolescents and Young Adults with Autism Spectrum Disorders.

Marjorie Solomon, Andrew Gordon, Ana-Maria Iosif, Raphael Geddert, Marie K Krug, Peter Mundy, David Hessl

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Distinct neurocognitive profiles and clinical phenotypes associated with copy number variation at the 22q11.2 locus.Autism research : official journal of the International Society for Autism Research · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marjorie SolomonDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.ORCID 0000-0002-9610-1855
Andrew GordonDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.
Ana-Maria IosifDepartment of Public Health Sciences, University of California-Davis, Davis, California, USA.ORCID 0000-0001-7283-2015
Raphael GeddertDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.
Marie K KrugDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.
Peter MundyDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.
David HesslDepartment of Psychiatry and Behavioral Sciences, University of California-Davis, Sacramento, California, USA.ORCID 0000-0002-3460-9805

Funding

Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JUDY A. VAN DE WATER · 2020 to 2026
$9.7M
A Cognitive Test Battery for Intellectual DisabilitiesR01HD076189 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVID R HESSL · 2014 to 2026
$8.6M
Predictors of Cognitive Development in Autism Spectrum DisorderR01MH103284 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SOLOMON, MARJORIE · 2014 to 2024
$6.3M
Neurodevelopment of cognitive control in autism: adolescence to young adulthoodR01MH106518 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SOLOMON, MARJORIE · 2016 to 2020
$3.1M
NICHD NIH HHS P50 HD103526NICHD NIH HHS R01 HD076189NIMH NIH HHS R01 MH103284NIMH NIH HHS R01 MH106518
6 · The paper itself

Abstract

Despite the clinically significant impact of executive dysfunction on the outcomes of adolescents and young adults with autism spectrum disorders (ASD), we lack a clear understanding of its prevalence, profile, and development. To address this gap, we administered the NIH Toolbox Cognition Battery to a cross-sectional Intelligence Quotient (IQ) case-matched cohort with ASD (n = 66) and typical development (TD; n = 66) ages 12-22. We used a general linear model framework to examine group differences in task performance and their associations with age. Latent profile analysis (LPA) was used to identify subgroups of individuals with similar cognitive profiles. Compared to IQ case-matched controls, ASD demonstrated poorer performance on inhibitory control (P < 0.001), cognitive flexibility (P < 0.001), episodic memory (P < 0.02), and processing speed (P < 0.001) (components of Fluid Cognition), but not on vocabulary or word reading (components of Crystallized Cognition). There was a significant positive association between age and Crystallized and Fluid Cognition in both groups. For Fluid (but not Crystallized) Cognition, ASD performed more poorly than TD at all ages. A four-group LPA model based on subtest scores best fit the data. Eighty percent of ASD belonged to two groups that exhibited relatively stronger Crystallized versus Fluid Cognition. Attention deficits were not associated with Toolbox subtest scores, but were lowest in the group with the lowest proportion of autistic participants. Adaptive functioning was poorer in the groups with the greatest proportion of autistic participants. Autistic persons are especially impaired on Fluid Cognition, and this more flexible form of thinking remains poorer in the ASD group through adolescence. LAY SUMMARY: A set of brief tests of cognitive functioning called the NIH Toolbox Cognition Battery was administered to adolescents and young adults with autism spectrum disorders (ASD; n = 66) and typical development (TD; n = 66) ages 12-22 years. Compared to TD, ASD showed poorer performance in inhibiting responses, acting flexibly, memorizing events, and processing information quickly (Fluid Cognition). Groups did not differ on vocabulary or word reading (Crystallized Cognition). Crystallized and Fluid Cognition increased with age in both groups, but the ASD group showed lower Fluid, but not Crystallized, Cognition than TD at all ages. A categorization analysis including all participants showed that most participants with ASD fell into one of two categories: a group characterized by poor performance across all tasks, or a group characterized by relatively stronger Crystallized compared to Fluid Cognition. Adaptive functioning was poorer for participants in these groups, which consisted of mostly individuals with ASD, while ADHD symptoms were lowest in the group with the greatest proportion of TD participants.

Indexed as

CognitionAdolescentAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderChildCross-Sectional StudiesFemaleHumansIntelligence TestsMaleNeuropsychological TestsYoung Adultadolescentsadultscognitive controlexecutive controlexecutive functionslatent profile analysisNIH Toolboxphenotypessubtypes of ASDyoung adults

Identifiers

PMID33006263
PMCPMC8106946

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.