Evidence map›Paper›PMID 39175054›Full record

ArticleMolecular autism2024

Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography.

Dalin Yang, Alexandra M Svoboda, Tessa G George, Patricia K Mansfield, Muriah D Wheelock, Mariel L Schroeder, Sean M Rafferty, Arefeh Sherafati, Kalyan Tripathy, Tracy Burns-Yocum and 6 more

Abstract read
In one paragraph

Article in Molecular autism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

16 authors.

Dalin Yang *Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Alexandra M Svoboda *Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Tessa G GeorgeMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Patricia K MansfieldMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Muriah D WheelockMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Mariel L SchroederMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Sean M RaffertyMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Arefeh SherafatiMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Kalyan TripathyMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Tracy Burns-YocumMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
Elizabeth ForsenMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
John R PruettDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Natasha M MarrusDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Joseph P CulverMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
John N ConstantinoDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Adam T EggebrechtMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA. aeggebre@wustl.edu.

Funding

IMAGING BRAIN FUNCTION IN CHILDREN WITH AUTISM SPECTRUM DISORDERS WITH DIFFUSE OPTICAL TOMOGRAPHYK01MH103594 · NIMH · WASHINGTON UNIVERSITY · PI EGGEBRECHT, ADAM THOMAS · 2015 to 2019
$708k
NIH HHS K01MH103594NIMH NIH HHS K01 MH103594
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits.

methodsWe used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models.

resultsWe found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism.

conclusionsThis study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits.

Indexed as

Autism Spectrum DisorderBrain MappingMotion PerceptionTomography, OpticalAdolescentAutistic DisorderBrainChildFemaleHumansMagnetic Resonance ImagingMaleAutism spectrum disorderBiological motionHigh-density diffuse optical tomographyNeuroimagingSocial perception

Identifiers

PMID39175054
PMCPMC11342641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.