Evidence map›Paper›PMID 34195789›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing.

Alisa R Zoltowski, Ilwoo Lyu, Michelle Failla, Lisa E Mash, Kacie Dunham, Jacob I Feldman, Tiffany G Woynaroski, Mark T Wallace, Laura A Barquero, Tin Q Nguyen and 4 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Cortical Thickness and Curvature in Autism and ADHD: A Mega-Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  9. Article
  10. Review
  11. Cholinergic basal forebrain atrophy in Parkinson's disease with freezing of gait.Annals of clinical and translational neurology · 2023
    Article
  12. Article
  13. 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

14 authors.

Alisa R ZoltowskiVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Ilwoo LyuDepartment of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.
Michelle FaillaDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
Lisa E MashSan Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA 92120, USA.
Kacie DunhamVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Jacob I FeldmanDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Tiffany G WoynaroskiVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Mark T WallaceVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Laura A BarqueroDepartment of Psychology and Human Development, Vanderbilt University, Nashville, TN 37203, USA.
Tin Q NguyenVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Laurie E CuttingVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Hakmook KangVanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
Bennett A LandmanVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.
Carissa J CascioVanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Cognitive and Neural Processes in Reading ComprehensionR01HD044073 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2004 to 2019
$8.1M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
LIFE-SPAN DEVELOPMENT OF NORMAL AND ABNORMAL BEHAVIORT32MH018921 · NIMH · VANDERBILT UNIVERSITY · PI HUMPHREYS, KATHRYN LEIGH · 1989 to 2024
$6.7M
Early Academic Achievement and Intervention Response: Role of Executive FunctionR37HD095519 · NICHD · VANDERBILT UNIVERSITY · PI Laurie E Cutting · 2018 to 2026
$5.1M
NRSA Training CoreTL1TR002244 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Julie A. Bastarache · 2017 to 2026
$4.6M
Sensorimotor integration governing facial expression production in autism.R01MH102272 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CASCIO, CARISSA J · 2014 to 2023
$4.3M
Neurobiology and Treatment of Reading Disability in NF1R01HD089474 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2016 to 2022
$3.4M
Predicting Late-Emerging RD: Neurobiological and Cognitive FactorsR01HD067254 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2010 to 2014
$2.9M
Neurobehavioral Investigation of Tactile Features in Autism Spectrum DisordersK01MH090232 · NIMH · VANDERBILT UNIVERSITY · PI CASCIO, CARISSA J · 2011 to 2014
$646k
A novel use of web-based software to efficiently triage pre-surgical patients basR44TR000045 · NCATS · MEDSLEUTH, INC. · PI KALAMAS, ALICIA GRUBER · 2012 to 2012
$546k
The neurocognition of procedural and declarative memory in dyslexia and S-RCDR21HD087088 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2016 to 2017
$434k
NCATS NIH HHS R44 TR000045NCATS NIH HHS TL1 TR002244NICHD NIH HHS P50 HD103537NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD067254NICHD NIH HHS R01 HD089474NICHD NIH HHS R21 HD087088NICHD NIH HHS R21 HD101321NICHD NIH HHS R37 HD095519NICHD NIH HHS U54 HD083211NIH HHS R01 MH102272NIMH NIH HHS K01 MH090232NIMH NIH HHS R01 MH102272NIMH NIH HHS R21 MH101321NIMH NIH HHS T32 MH018921
6 · The paper itself

Abstract

It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5-54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.

Indexed as

Autism Spectrum DisorderAutistic DisorderAdolescentAdultBrainCerebral CortexChildChild, PreschoolHumansMagnetic Resonance ImagingMiddle AgedYoung Adultautismbrain structurecortical morphologylocal gyrification indexing

Identifiers

PMID34195789
PMCPMC8491691

What OpenQuestion holds

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Registered trials

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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.