Evidence map›Paper›PMID 25011468›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2015

Neural signatures of autism spectrum disorders: insights into brain network dynamics.

Leanna M Hernandez, Jeffrey D Rudie, Shulamite A Green, Susan Bookheimer, Mirella Dapretto

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 5% 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

72 citing papers in PubMed, 4 syntheses or guidelines pooled it, 144 citations in OpenAlex.

  1. Pooled it
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  12. Connectome-based symptom mapping andmedRxiv : the preprint server for health sciences · 2024
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  18. Anandamide and 2-arachidonoylglycerol differentially modulate autistic-like traits in a genetic model of autism based on FMR1 deletion in rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  19. Article
  20. Review

12 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Leanna M Hernandez1] Interdepartmental Neuroscience Program, University of California, Los Angeles, Los Angeles, CA, USA [2] Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA [3] Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.
Jeffrey D Rudie1] Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA [2] David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Shulamite A Green1] Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA [2] Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA [3] Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
Susan Bookheimer1] Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA [2] David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA [3] Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
Mirella Dapretto1] Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA [2] Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, USA.
University of California, Los Angeles · USNeurobehavioral Systems · US

Funding

Understanding Repetitive Behavior in AutismP50HD055784 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOOKHEIMER, SUSAN Y · 2007 to 2021
$32.0M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA Center for Translational Research in Neurodevelopment: UC-TRaNU54HD087101 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCCRACKEN, JAMES T. · 2016 to 2020
$6.5M
Training Grant in Neurobehavioral GeneticsT32MH073526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GESCHWIND, DANIEL H · 2006 to 2020
$2.4M
HORMONAL REGULATION OF MYOMETRIUM ION CHANNELSR01HD038983 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI STEFANI, ENRICO · 2001 to 2003
$824k
Sensory Over Responsivity & Anxiety in Youth with AutismF31MH093999 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, SHULAMITE ABRA · 2011 to 2014
$59k
NICHD NIH HHS 1R01 HD073983-01 NIH/NICHDNICHD NIH HHS 2P50 HD055784 NIH- NICHDNICHD NIH HHS P50 HD055784NICHD NIH HHS R01 HD038983NICHD NIH HHS U54 HD087101NIGMS NIH HHS T32 GM008042NIMH NIH HHS 5T32 MH073526-08 NIHNIMH NIH HHS F31 MH093999NIMH NIH HHS F31 MH093999-01A1NIMH NIH HHS T32 MH073526
6 · The paper itself

Abstract

Neuroimaging investigations of autism spectrum disorders (ASDs) have advanced our understanding of atypical brain function and structure, and have recently converged on a model of altered network-level connectivity. Traditional task-based functional magnetic resonance imaging (MRI) and volume-based structural MRI studies have identified widespread atypicalities in brain regions involved in social behavior and other core ASD-related behavioral deficits. More recent advances in MR-neuroimaging methods allow for quantification of brain connectivity using diffusion tensor imaging, functional connectivity, and graph theoretic methods. These newer techniques have moved the field toward a systems-level understanding of ASD etiology, integrating functional and structural measures across distal brain regions. Neuroimaging findings in ASD as a whole have been mixed and at times contradictory, likely due to the vast genetic and phenotypic heterogeneity characteristic of the disorder. Future longitudinal studies of brain development will be crucial to yield insights into mechanisms of disease etiology in ASD sub-populations. Advances in neuroimaging methods and large-scale collaborations will also allow for an integrated approach linking neuroimaging, genetics, and phenotypic data.

Indexed as

BrainBrain MappingChild Development Disorders, PervasiveDiffusion Tensor ImagingHumansNerve Net

Identifiers

PMID25011468
PMCPMC4262896
OpenAlexW1985486578

What OpenQuestion holds

Textmetadata
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.