Evidence map›Paper›PMID 28460842›Full record

ArticleBiological psychiatry2017

The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder.

John D Lewis, Alan C Evans, John R Pruett, Kelly N Botteron, Robert C McKinstry, Lonnie Zwaigenbaum, Annette M Estes, D Louis Collins, Penelope Kostopoulos, Guido Gerig and 7 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Biological psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 3 countries.

John D LewisMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada. Electronic address: jlewis@bic.mni.mcgill.ca.
Alan C EvansMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
John R PruettDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
Kelly N BotteronDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
Robert C McKinstryDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
Lonnie ZwaigenbaumDepartment of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Annette M EstesDepartment of Speech and Hearing Sciences, University of Washington, Seattle, Washington.
D Louis CollinsMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Penelope KostopoulosMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Guido GerigTandon School of Engineering, New York University, Brooklyn, New York.
Stephen R DagerDepartment of Radiology, University of Washington, Seattle, Washington.
Sarah PatersonCenter for Autism Research, University of Pennsylvania, Philadelphia, Pennsylvania.
Robert T SchultzCenter for Autism Research, University of Pennsylvania, Philadelphia, Pennsylvania.
Martin A StynerDepartment of Computer Science, University of North Carolina, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina.
Heather C HazlettCarolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina.
Joseph PivenCarolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, North Carolina.
Infant Brain Imaging Study Network
University of North Carolina at Chapel Hill · USWashington University in St. Louis · USMontreal Neurological Institute and Hospital · CAUniversity of Pennsylvania · USUniversity of Washington · USNew York University · USImagerie et Cerveau · FRMcGill University · CAUniversity of Alberta · CA

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Intellectual and Developmental Disabilities Research CenterU54HD083091 · NICHD · UNIVERSITY OF WASHINGTON · PI DOHERTY, DANIEL · 2014 to 2019
$7.9M
Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI MOLEY, KELLE H · 2015 to 2019
$7.1M
The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI SCHULTZ, ROBERT THOMAS · 2016 to 2020
$6.3M
fcMRI in Infants at High Risk for AutismR01MH093510 · NIMH · WASHINGTON UNIVERSITY · PI PRUETT, JOHN R · 2012 to 2016
$2.4M
NICHD NIH HHS R01 HD055741NICHD NIH HHS U54 HD083091NICHD NIH HHS U54 HD086984NICHD NIH HHS U54 HD087011NIEHS NIH HHS P30 ES010126NIMH NIH HHS R01 MH093510
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a developmental disorder defined by behavioral features that emerge during the first years of life. Research indicates that abnormalities in brain connectivity are associated with these behavioral features. However, the inclusion of individuals past the age of onset of the defining behaviors complicates interpretation of the observed abnormalities: they may be cascade effects of earlier neuropathology and behavioral abnormalities. Our recent study of network efficiency in a cohort of 24-month-olds at high and low familial risk for ASD reduced this confound; we reported reduced network efficiencies in toddlers classified with ASD. The current study maps the emergence of these inefficiencies in the first year of life.

methodsThis study uses data from 260 infants at 6 and 12 months of age, including 116 infants with longitudinal data. As in our earlier study, we use diffusion data to obtain measures of the length and strength of connections between brain regions to compute network efficiency. We assess group differences in efficiency within linear mixed-effects models determined by the Akaike information criterion.

resultsInefficiencies in high-risk infants later classified with ASD were detected from 6 months onward in regions involved in low-level sensory processing. In addition, within the high-risk infants, these inefficiencies predicted 24-month symptom severity.

conclusionsThese results suggest that infants with ASD, even before 6 months of age, have deficits in connectivity related to low-level processing, which contribute to a developmental cascade affecting brain organization and eventually higher-level cognitive processes and social behavior.

Indexed as

Genetic Predisposition to DiseaseAutism Spectrum DisorderBrainChild, PreschoolDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedInfantLinear ModelsLongitudinal StudiesMaleNeural PathwaysSeverity of Illness IndexSiblingsSleepAutismConnectivityDevelopmentEfficiencyInfant siblingsNetwork analysis

Identifiers

PMID28460842
PMCPMC5524449
OpenAlexW2596180203

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.