Evidence map›Paper›PMID 30603063›Full record

ArticleMolecular autism2018

Functional MRI connectivity of children with autism and low verbal and cognitive performance.

Terisa P Gabrielsen, Jeff S Anderson, Kevin G Stephenson, Jonathan Beck, Jace B King, Ryan Kellems, David N Top, Nicholas C C Russell, Emily Anderberg, Rebecca A Lundwall and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 98 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

12 authors at 2 institutions in 1 country.

Terisa P Gabrielsen1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA.
Jeff S Anderson2Department of Radiology and Imaging Sciences, University of Utah School of Medicine, Salt Lake City, USA.
Kevin G Stephenson3Department of Psychology, Brigham Young University, Provo, USA.
Jonathan Beck3Department of Psychology, Brigham Young University, Provo, USA.
Jace B King4Interdepartmental Program in Neuroscience, University of Utah School of Medicine, Salt Lake City, USA.
Ryan Kellems1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA.
David N Top3Department of Psychology, Brigham Young University, Provo, USA.
Nicholas C C Russell3Department of Psychology, Brigham Young University, Provo, USA.
Emily Anderberg3Department of Psychology, Brigham Young University, Provo, USA.
Rebecca A Lundwall3Department of Psychology, Brigham Young University, Provo, USA.
Blake Hansen1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA.
Mikle South3Department of Psychology, Brigham Young University, Provo, USA.ORCID 0000-0003-0152-1257
Brigham Young University · USUniversity of Utah · US

Funding

Atypical Late Neurodevelopment in Autism: A Longitudinal MRI and DTI StudyR01MH080826 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI LAINHART, JANET ELIZABETH · 2007 to 2020
$6.5M
NIMH NIH HHS R01 MH080826
6 · The paper itself

Abstract

Background: Functional neuroimaging research in autism spectrum disorder has reported patterns of decreased long-range, within-network, and interhemispheric connectivity. Research has also reported increased corticostriatal connectivity and between-network connectivity for default and attentional networks. Past studies have excluded individuals with autism and low verbal and cognitive performance (LVCP), so connectivity in individuals more significantly affected with autism has not yet been studied. This represents a critical gap in our understanding of brain function across the autism spectrum. Methods: Using behavioral support procedures adapted from Nordahl, et al. (J Neurodev Disord 8:20-20, 2016), we completed non-sedated structural and functional MRI scans of 56 children ages 7-17, including LVCP children ( Results: LVCP showed decreased within-network connectivity in default, salience, auditory, and frontoparietal networks (LVCP < HVCP) and decreased interhemispheric connectivity (LVCP < HVCP=NT). Between-network connectivity was higher for LVCP than NT between default and dorsal attention and frontoparietal networks. Lower IQ was associated with decreased connectivity within the default network and increased connectivity between default and dorsal attention networks. Conclusions: This study demonstrates that with moderate levels of support, including readily available techniques, information about brain similarities and differences in LVCP individuals can be further studied. This initial study suggested decreased network segmentation and integration in LVCP individuals. Further imaging studies of LVCP individuals with larger samples will add to understanding of origins and effects of autism on brain function and behavior.

Indexed as

CognitionLanguage DevelopmentAdolescentAutistic DisorderCase-Control StudiesChildFemaleHumansIntelligenceMagnetic Resonance ImagingMaleAutism spectrum disorderFunctional connectivityImaging methodologyIntelligenceLanguage

Identifiers

PMID30603063
PMCPMC6307191
OpenAlexW2906892372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.