Evidence map›Paper›PMID 34455432›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Small Nucleus Accumbens and Large Cerebral Ventricles in Infants and Toddlers Prior to Receiving Diagnoses of Autism Spectrum Disorder.

Tadashi Shiohama, Alpen Ortug, Jose Luis Alatorre Warren, Briana Valli, Jacob Levman, Susan K Faja, Keita Tsujimura, Alika K Maunakea, Emi Takahashi

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.7field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  20. Elucidation of Brain Morphogenesis Using Quantitative Brain Magnetic Resonance Imaging in Children.Pediatrics international : official journal of the Japan Pediatric Society
    Review
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

9 authors at 4 institutions in 3 countries.

Tadashi ShiohamaDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-0076-5882
Alpen OrtugDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Jose Luis Alatorre WarrenDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-3638-9957
Briana ValliDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Jacob LevmanDepartment of Mathematics, Statistics and Computer Science, St. Francis Xavier University, Antigonish, Nova Scotia B2G 2W5, Canada.
Susan K FajaDivision of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Keita TsujimuraGroup of Brain Function and Development, Nagoya University Neuroscience Institute of the Graduate School of Science, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan.
Alika K MaunakeaDepartment of Anatomy, Biochemistry and Physiology, 651 Ilalo Street, John A. Burns School of Medicine, University of Hawaii, Manoa, HI 96813, USA.
Emi TakahashiDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Boston Children's Hospital · USNagoya University · JPSt. Francis Xavier University · CAUniversity of Hawaiʻi at Mānoa · US

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Translational Pilot Project ProgramP30GM131944 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI WARD, WILLIAM S · 2019 to 2023
$5.9M
Socioecological Determinants of Immunoepigenetic Signatures of Diabetes Risk in Indigenous CommunitiesR01MD016593 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MAUNAKEA, ALIKA KEOLAOKALANI · 2021 to 2025
$3.3M
Atypical Formation of Fiber Pathways and Cortical Folding in the BrainR01NS109475 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI TAKAHASHI (OKI), EMI · 2019 to 2023
$2.3M
Development of Brain Connectivity in Human Fetus, Newborn, and Toddler AgesR01HD078561 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI TAKAHASHI (OKI), EMI · 2014 to 2018
$1.7M
MRI-based biomarkers for regional brain abnormalities in autism spectrum disorder: From newborns to young adultsR21MH118739 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI TAKAHASHI (OKI), EMI · 2018 to 2019
$487k
Brain Development in Down Syndrome during Fetal, Newborn, and Infant StagesR21HD098606 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TAKAHASHI (OKI), EMI · 2019 to 2020
$484k
Epigenomic Dysregulation of Neurodevelopmental Genes Underlies Autism Spectrum DisordersR21MH114005 · NIMH · UNIVERSITY OF HAWAII AT MANOA · PI MAUNAKEA, ALIKA KEOLAOKALANI · 2017 to 2018
$424k
NICHD NIH HHS P50 HD105351NICHD NIH HHS R01 HD078561NICHD NIH HHS R21 HD098606NIGMS NIH HHS P30 GM131944NIH HHS R01HD078561NIMHD NIH HHS R01 MD016593NIMH NIH HHS R21 MH114005NIMH NIH HHS R21 MH118739NINDS NIH HHS R01 NS109475
6 · The paper itself

Abstract

Early interventions for autism spectrum disorder (ASD) are increasingly available, while only 42-50% of ASD children are diagnosed before 3 years old (YO). To identify neuroimaging biomarkers for early ASD diagnosis, we evaluated surface- and voxel-based brain morphometry in participants under 3YO who were later diagnosed with ASD. Magnetic resonance imaging data were retrospectively obtained from patients later diagnosed with ASD at Boston Children's Hospital. The ASD participants with comorbidities such as congenital disorder, epilepsy, and global developmental delay/intellectual disability were excluded from statistical analyses. Eighty-five structural brain magnetic resonance imaging images were collected from 81 participants under 3YO and compared with 45 images from 45 gender- and age-matched nonautistic controls (non-ASD). Using an Infant FreeSurfer pipeline, 236 regionally distributed measurements were extracted from each scan. By t-tests and linear mixed models, the smaller nucleus accumbens and larger bilateral lateral, third, and fourth ventricles were identified in the ASD group. Vertex-wise t-statistical maps showed decreased thickness in the caudal anterior cingulate cortex and increased thickness in the right medial orbitofrontal cortex in ASD. The smaller bilateral accumbens nuclei and larger cerebral ventricles were independent of age, gender, or gestational age at birth, suggesting that there are MRI-based biomarkers in prospective ASD patients before they receive the diagnosis and that the volume of the nucleus accumbens and cerebral ventricles can be key MRI-based early biomarkers to predict the emergence of ASD.

Indexed as

Autism Spectrum DisorderBiomarkersCerebral VentriclesChild, PreschoolHumansInfantInfant, NewbornMagnetic Resonance ImagingNucleus AccumbensProspective StudiesRetrospective StudiesBiomarkersautism spectrum disordercerebral ventriclesmagnetic resonance imagingmedial orbitofrontal cortexnucleus accumbens

Identifiers

PMID34455432
PMCPMC8924432
OpenAlexW3198787748

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.