Evidence map›Paper›PMID 38075286›Full record

ArticleFrontiers in neuroscience2023

Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes.

Clara F Weber, Evelyn M R Lake, Stefan P Haider, Ali Mozayan, Pratheek S Bobba, Pratik Mukherjee, Dustin Scheinost, Robert T Constable, Laura Ment, Seyedmehdi Payabvash

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. 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
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  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

10 authors at 4 institutions in 2 countries.

Clara F WeberYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Evelyn M R LakeYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Stefan P HaiderYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Ali MozayanYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Pratheek S BobbaYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Pratik MukherjeeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Dustin ScheinostYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Robert T ConstableYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Laura MentYale University School of Medicine, Department of Pediatrics and Neurology, New Haven, CT, United States.
Seyedmehdi PayabvashYale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, CT, United States.
Yale University · USLudwig-Maximilians-Universität München · DEUniversity of California, San Francisco · USUniversity of Lübeck · DE

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Radiomics Signatures and Patient Outcomes in Intracerebral HemorrhageK23NS118056 · NINDS · YALE UNIVERSITY · PI Seyedmehdi Payabvash · 2021 to 2026
$780k
NCATS NIH HHS UL1 TR001863NINDS NIH HHS K23 NS118056
6 · The paper itself

Abstract

Introduction: Autism spectrum disorder (ASD) is associated with both functional and microstructural connectome disruptions. We deployed a novel methodology using functionally defined nodes to guide white matter (WM) tractography and identify ASD-related microstructural connectome changes across the lifespan. Methods: We used diffusion tensor imaging and clinical data from four studies in the national database for autism research (NDAR) including 155 infants, 102 toddlers, 230 adolescents, and 96 young adults - of whom 264 (45%) were diagnosed with ASD. We applied cortical nodes from a prior fMRI study identifying regions related to symptom severity scores and used these seeds to construct WM fiber tracts as connectome Edge Density (ED) maps. Resulting ED maps were assessed for between-group differences using voxel-wise and tract-based analysis. We then examined the association of ASD diagnosis with ED driven from functional nodes generated from different sensitivity thresholds. Results: In ED derived from functionally guided tractography, we identified ASD-related changes in infants ( Discussion: We detected early changes of aberrant WM development in infants developing ASD when generating microstructural connectome ED map with cortical nodes defined by functional imaging. These were not evident when applying structurally defined nodes, suggesting that functionally guided DTI-based tractography can help identify early ASD-related WM disruptions between cortical regions exhibiting abnormal connectivity patterns later in life. Furthermore, our results suggest a benefit of involving functionally informed nodes in diffusion imaging-based probabilistic tractography, and underline that different age cohorts can benefit from age- and brain development-adapted image processing protocols.

Indexed as

autism spectrum disorderconnectomeDTImicrostructureneurodevelopment

Identifiers

PMID38075286
PMCPMC10702224
OpenAlexW4388945719

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.