Evidence map›Paper›PMID 38630783›Full record

ArticlePloS one2024

Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder.

Benjamin T Newman, Zachary Jacokes, Siva Venkadesh, Sara J Webb, Natalia M Kleinhans, James C McPartland, T Jason Druzgal, Kevin A Pelphrey, John Darrell Van Horn, GENDAAR Research Consortium

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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
5.1field-weighted citation impact, top 4% 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, 15 citations in OpenAlex.

  1. Article
  2. Autism Sensory Profiles Predict Stimulus- Evoked Insula Connectivity.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. MyelinASN neuro · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Benjamin T NewmanDepartment of Psychology, University of Virginia, Charlottesville, VA, United States of America.
Zachary JacokesSchool of Data Science, University of Virginia, Elson Building, Charlottesville, VA, United States of America.
Siva VenkadeshDepartment of Psychology, University of Virginia, Charlottesville, VA, United States of America.
Sara J WebbDepartment of Psychiatry and Behavioral Science, University of Washington, Seattle WA, United States of America.
Natalia M KleinhansDepartment of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, WA, United States of America.
James C McPartlandYale Child Study Center, New Haven, CT, United States of America.
T Jason DruzgalUVA School of Medicine, University of Virginia, Charlottesville, VA, United States of America.
Kevin A PelphreyUVA School of Medicine, University of Virginia, Charlottesville, VA, United States of America.
John Darrell Van HornDepartment of Psychology, University of Virginia, Charlottesville, VA, United States of America.ORCID https://orcid.org/0000-0003-1537-0816
GENDAAR Research Consortium
University of Virginia · USUniversity of Washington · US

Funding

Multimodal Developmental Neurogenetics of Females with ASDR01MH100028 · NIMH · YALE UNIVERSITY · PI Allison Elizabeth Jack, LAUREN KENWORTHY · 2012 to 2026
$37.8M
NIMH NIH HHS R01 MH100028
6 · The paper itself

Abstract

The neuronal differences contributing to the etiology of autism spectrum disorder (ASD) are still not well defined. Previous studies have suggested that myelin and axons are disrupted during development in ASD. By combining structural and diffusion MRI techniques, myelin and axons can be assessed using extracellular water, aggregate g-ratio, and a new approach to calculating axonal conduction velocity termed aggregate conduction velocity, which is related to the capacity of the axon to carry information. In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. We then demonstrate the sensitivity of these metrics by characterizing differences between ASD and neurotypical participants, finding widespread increases in extracellular water in the cortex and decreases in aggregate g-ratio and aggregate conduction velocity throughout the cortex, subcortex, and white matter skeleton. We finally provide evidence that these microstructural differences are associated with higher scores on the Social Communication Questionnaire (SCQ) a commonly used diagnostic tool to assess ASD. This study is the first to reveal that ASD involves MRI-measurable in vivo differences of myelin and axonal development with implications for neuronal and behavioral function. We also introduce a novel formulation for calculating aggregate conduction velocity, that is highly sensitive to these changes. We conclude that ASD may be characterized by otherwise intact structural connectivity but that functional connectivity may be attenuated by network properties affecting neural transmission speed. This effect may explain the putative reliance on local connectivity in contrast to more distal connectivity observed in ASD.

Indexed as

Autism Spectrum DisorderWhite MatterAdolescentBrainCerebral CortexDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance Imaging

Identifiers

PMID38630783
PMCPMC11023574
OpenAlexW4394874502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.