Evidence map›Paper›PMID 33713843›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2021

Quantitative and Qualitative Sex Modulations in the Brain Anatomy of Autism.

Christopher Hammill, Jason P Lerch, Margot J Taylor, Stephanie H Ameis, M Mallar Chakravarty, Peter Szatmari, Evdokia Anagnostou, Meng-Chuan Lai

Open access · hybridAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Sex and gender in neurodevelopmental conditions.Nature reviews. Neurology · 2023
    Review
  7. Unique dynamic profiles of social attention in autistic females.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Article
  8. Article
  9. Altered Development of Amygdala-Connected Brain Regions in Males and Females with Autism.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  10. Article
  11. Differences in Degree and Form.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Christopher HammillMouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada.
Jason P LerchMouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health Program, SickKids Research Institute, Toronto, Ontario, Canada; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom.
Margot J TaylorDepartment of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health Program, SickKids Research Institute, Toronto, Ontario, Canada.
Stephanie H AmeisDepartment of Psychiatry, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health Program, SickKids Research Institute, Toronto, Ontario, Canada; Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
M Mallar ChakravartyCerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
Peter SzatmariDepartment of Psychiatry, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health Program, SickKids Research Institute, Toronto, Ontario, Canada; Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Evdokia AnagnostouHolland Bloorview Kids Rehabilitation Hospital and Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Meng-Chuan LaiDepartment of Psychiatry, Hospital for Sick Children, Toronto, Ontario, Canada; Neurosciences and Mental Health Program, SickKids Research Institute, Toronto, Ontario, Canada; Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan. Electronic address: mengchuan.lai@utoronto.ca.
Centre for Addiction and Mental Health · CAHospital for Sick Children · CADouglas Mental Health University Institute · CAUniversity of Toronto · CA

Funding

CIHR MOP-106582CIHR MOP-119541CIHR MOP-137115CIHR MOP-142379
6 · The paper itself

Abstract

backgroundSex-based neurobiological heterogeneity in autism is poorly understood. Research is disproportionately biased to males, leading to an unwarranted presumption that autism neurobiology is the same across sexes. Previous neuroimaging studies using amalgamated multicenter datasets to increase autistic female samples are characterized by large statistical noise.

methodsWe used a better-powered dataset of 1183 scans of 839 individuals-299 (467 scans) autistic males, 74 (102 scans) autistic females, 240 (334 scans) control males, and 226 (280 scans) control females-to test two whole-brain models of overall/global sex modulations on autism neuroanatomy, by summary measures computed across the brain: the local magnitude model, in which the same brain regions/circuitries are involved across sexes but effect sizes are larger in females, indicating quantitative sex modulation; and spatial dissimilarity model, in which the neuroanatomy differs spatially between sexes, indicating qualitative sex modulation. The male and female autism groups were matched on age, IQ, and autism symptoms. Autism brain features were defined by comparisons with same-sex control individuals.

resultsAcross five metrics (cortical thickness, surface area, volume, mean absolute curvature, and subcortical volume), we found no evidence supporting the local magnitude model. We found indicators supporting the spatial dissimilarity model on cortical mean absolute curvature and subcortical volume, but not on other metrics.

conclusionsThe overall/global autism neuroanatomy in females and males does not simply differ quantitatively in the same brain regions/circuitries. They may differ qualitatively in spatial involvement in cortical curvature and subcortical volume. The neuroanatomy of autism may be partly sex specific. Sex stratification to inform autism preclinical/clinical research is needed to identify sex-informed neurodevelopmental targets.

Indexed as

Autistic DisorderBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingAutismBrainCortical curvatureHeterogeneityNeuroanatomySex

Identifiers

PMID33713843
OpenAlexW3135854379

What OpenQuestion holds

Textmetadata
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.