Evidence map›Paper›PMID 36109700›Full record

ArticleJournal of neurodevelopmental disorders2022

Default mode and fronto-parietal network associations with IQ development across childhood in autism.

Joshua K Lee, An Chuen Billy Cho, Derek S Andrews, Sally Ozonoff, Sally J Rogers, David G Amaral, Marjorie Solomon, Christine Wu Nordahl

Open access · goldAbstract read
In one paragraph

Article in Journal of neurodevelopmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Joshua K Lee *MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA. jkilee@ucdavis.edu.ORCID 0000-0002-0479-0156
An Chuen Billy Cho *MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Derek S AndrewsMIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Sally OzonoffMIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Sally J RogersMIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
David G AmaralMIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Marjorie Solomon *MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
Christine Wu Nordahl *MIND Institute, University of California Davis School of Medicine, Sacramento, CA, USA.
University of California, Davis · USUniversity of California System · US

Funding

Specifying and Treating the Anxiety Phenotype in Autism Spectrum DisorderP50HD093079 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AMARAL, DAVID G · 2017 to 2021
$11.4M
Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEONARD J. ABBEDUTO, Melissa Dawn Bauman · 2020 to 2026
$9.7M
Predictors of Cognitive Development in Autism Spectrum DisorderR01MH103284 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SOLOMON, MARJORIE · 2014 to 2024
$6.3M
Neural Phenotypes of Females with Autism Spectrum DisorderR01MH104438 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NORDAHL, CHRISTINE WU · 2014 to 2018
$3.5M
Neurophenotypic Trajectories and Behavioral Outcomes in Autism Spectrum DisorderR01MH103371 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AMARAL, DAVID G · 2015 to 2019
$3.4M
HRSA HHS UT2MC39440NICHD NIH HHS P50 HD093079NICHD NIH HHS P50 HD103526NIMH NIH HHS R01 MH103284NIMH NIH HHS R01MH103284NIMH NIH HHS R01 MH103371NIMH NIH HHS R01 MH104438NIMH NIH HHS R01MH104438
6 · The paper itself

Abstract

backgroundIntellectual disability affects approximately one third of individuals with autism spectrum disorder (autism). Yet, a major unresolved neurobiological question is what differentiates autistic individuals with and without intellectual disability. Intelligence quotients (IQs) are highly variable during childhood. We previously identified three subgroups of autistic children with different trajectories of intellectual development from early (2-3½ years) to middle childhood (9-12 years): (a) persistently high: individuals whose IQs remained in the normal range; (b) persistently low: individuals whose IQs remained in the range of intellectual disability (IQ < 70); and (c) changers: individuals whose IQs began in the range of intellectual disability but increased to the normal IQ range. The frontoparietal (FPN) and default mode (DMN) networks have established links to intellectual functioning. Here, we tested whether brain regions within the FPN and DMN differed volumetrically between these IQ trajectory groups in early childhood.

methodsWe conducted multivariate distance matrix regression to examine the brain regions within the FPN (11 regions x 2 hemispheres) and the DMN (12 regions x 2 hemispheres) in 48 persistently high (18 female), 108 persistently low (32 female), and 109 changers (39 female) using structural MRI acquired at baseline. FPN and DMN regions were defined using networks identified in Smith et al. (Proc Natl Acad Sci U S A 106:13040-5, 2009). IQ trajectory groups were defined by IQ measurements from up to three time points spanning early to middle childhood (mean age time 1: 3.2 years; time 2: 5.4 years; time 3: 11.3 years).

resultsThe changers group exhibited volumetric differences in the DMN compared to both the persistently low and persistently high groups at time 1. However, the persistently high group did not differ from the persistently low group, suggesting that DMN structure may be an early predictor for change in IQ trajectory. In contrast, the persistently high group exhibited differences in the FPN compared to both the persistently low and changers groups, suggesting differences related more to concurrent IQ and the absence of intellectual disability.

conclusionsWithin autism, volumetric differences of brain regions within the DMN in early childhood may differentiate individuals with persistently low IQ from those with low IQ that improves through childhood. Structural differences in brain networks between these three IQ-based subgroups highlight distinct neural underpinnings of these autism sub-phenotypes.

Indexed as

Autism Spectrum DisorderAutistic DisorderIntellectual DisabilityBrainBrain MappingFemaleHumansAutism spectrum disorderDefault modeFronto-parietalIntellectual disabilityIQLongitudinalMRI

Identifiers

PMID36109700
PMCPMC9479280
OpenAlexW4295950989

What OpenQuestion holds

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LicenceCC BY
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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.