Evidence map›Paper›PMID 34911200›Full record

ArticleNeuroImage. Clinical2021

Brain structural correlates of autistic traits across the diagnostic divide: A grey matter and white matter microstructure study.

Varun Arunachalam Chandran, Christos Pliatsikas, Janina Neufeld, Garret O'Connell, Anthony Haffey, Vincent DeLuca, Bhismadev Chakrabarti

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. IcoConv : Explainable brain cortical surface analysis for ASD classification.Shape in medical imaging : International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ShapeMI (Workshop) (2023 : Vancouver, B.C.) · 2023
    Article
  12. Article
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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

7 authors.

Varun Arunachalam ChandranCentre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Center for Mind and Brain, University of California Davis, Davis, CA, USA. Electronic address: v.arunachalamchandran@pgr.reading.ac.uk.
Christos PliatsikasSchool of Psychology and Clinical Language Sciences, University of Reading, Harry Pitt Building, Earley Gate, Whiteknights Road, Reading RG6 6AL, UK; Centro de Ciencia Cognitiva, Facultad de Lenguas y Educación, Universidad Antonio de Nebrija, Calle de Sta. Cruz de Marcenado, 27, 28015 Madrid, Spain.
Janina NeufeldCenter of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.
Garret O'ConnellSchool of Mind and Brain, Humboldt University, Berlin, Germany.
Anthony HaffeyCentre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK.
Vincent DeLucaDepartment of Language and Culture, UiT- The Arctic University of Norway, Hansine Hansens veg 18, 9019 Tromsø, Norway.
Bhismadev ChakrabartiCentre for Autism, School of Psychology and Clinical Language Sciences (SPCLS), University of Reading, UK; Department of Psychology, Ashoka University, Sonipat, India; India Autism Center, Kolkata, India.

Funding

Medical Research Council G1100359/1
6 · The paper itself

Abstract

Autism Spectrum Disorders (ASD) are a set of neurodevelopmental conditions characterised by difficulties in social interaction and communication as well as stereotyped and restricted patterns of interest. Autistic traits exist in a continuum across the general population, whilst the extreme end of this distribution is diagnosed as clinical ASD. While many studies have investigated brain structure in autism using a case-control design, few have used a dimensional approach. To add to this growing body of literature, we investigated the structural brain correlates of autistic traits in a mixed sample of adult participants (25 ASD and 66 neurotypicals; age: 18-60 years). We examined the relationship between regional brain volumes (using voxel-based morphometry and surface-based morphometry) and white matter microstructure properties (using Diffusion Tensor Imaging) and autistic traits (using Autism Spectrum Quotient). Our findings show grey matter differences in regions including the orbitofrontal cortex and lingual gyrus, and suggestive evidence for white matter microstructure differences in tracts including the superior longitudinal fasciculus being related to higher autistic traits. These grey matter and white matter microstructure findings from our study are consistent with previous reports and support the brain structural differences in ASD. These findings provide further support for shared aetiology for autistic traits across the diagnostic divide.

Indexed as

Autistic DisorderWhite MatterAdolescentAdultBrainDiffusion Tensor ImagingGray MatterHumansMiddle AgedYoung AdultAutism spectrum disordersAutistic traitsDiffusion Tensor ImagingGrey matterStructural MRIWhite matter microstructure

Identifiers

PMID34911200
PMCPMC8641248

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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.