Evidence map›Paper›PMID 34762311›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2022

Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.

Bradley S Peterson, Jiaqi Liu, Louis Dantec, Courtney Newman, Siddhant Sawardekar, Suzanne Goh, Ravi Bansal

Open access · greenAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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 at 5 institutions in 2 countries.

Bradley S PetersonInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Jiaqi LiuInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Louis DantecÉcole Polytechnique Universitaire de Marseille, Marseille, France.
Courtney NewmanTennessee State University, Nashville, TN, USA.
Siddhant SawardekarInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Suzanne GohCortica Healthcare, San Diego, CA, USA.
Ravi BansalInstitute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Children's Hospital of Los Angeles · USUniversity of Southern California · USÉcole Polytechnique · FRTennessee State University · USVA San Diego Healthcare System · US

Funding

Brain-Imaging Markers of Neurotoxicity and Long-Term Outcomes after CAR-T Cell TherapyR01CA274137 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Ravi Bansal, Deepa Bhojwani · 2023 to 2026
$2.8M
Identifying Brain-Based Biomarkers for ASD & their Biological SubtypesR01MH089582 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI PETERSON, BRADLEY S · 2009 to 2010
$2.4M
NCI NIH HHS R01 CA274137NIMH NIH HHS R01 MH089582
6 · The paper itself

Abstract

backgroundIdentifying the brain bases for phenotypic heterogeneity in Autism Spectrum Disorder (ASD) will advance understanding of its pathogenesis and improve its clinical management.

methodsWe compared Diffusion Tensor Imaging (DTI) indices and connectome measures between 77 ASD and 88 Typically Developing (TD) control participants. We also assessed voxel-wise associations of DTI indices with measures of regional cerebral blood flow (rCBF) and N-acetylaspartate (NAA) to understand how tissue microstructure associates with cellular metabolism and neuronal density, respectively.

resultsAutism Spectrum Disorder participants had significantly lower fractional anisotropy (FA) and higher diffusivity values in deep white matter tracts, likely representing ether reduced myelination by oligodendrocytes or a reduced density of myelinated axons. Greater abnormalities in these measures and regions were associated with higher ASD symptom scores. Participant age, sex and IQ significantly moderated these group differences. Path analyses showed that reduced NAA levels accounted significantly for higher diffusivity and higher rCBF values in ASD compared with TD participants.

conclusionsReduced neuronal density (reduced NAA) likely underlies abnormalities in DTI indices of white matter microstructure in ASD, which in turn are major determinants of elevated blood flow. Together, these findings suggest the presence of reduced axonal density and axonal pathology in ASD white matter. Greater pathology in turn accounts for more severe symptoms, lower intellectual ability, and reduced global efficiency for measures of white matter connectivity in ASD.

Indexed as

Autism Spectrum DisorderWhite MatterBrainDiffusion Tensor ImagingHumansMagnetic Resonance ImagingAutismdiffusion tensor imagingmagnetic resonance imagingwhite matter

Identifiers

PMID34762311
PMCPMC9091058
OpenAlexW3211532393

What OpenQuestion holds

Textmetadata
LicenceTDM
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.