ArticleHuman brain mapping2017
On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance-weighted principal component analysis.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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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.
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.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predicting alcohol dependence from multi-site brain structural measures.Human brain mapping · 2022Pooled it
- Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate-based meta-analytic study.Human brain mapping · 2021Pooled it
- Disrupted focal white matter integrity in autism spectrum disorder: A voxel-based meta-analysis of diffusion tensor imaging studies.Progress in neuro-psychopharmacology & biological psychiatry · 2018Pooled it
- Using eye tracking to explore the relationship between autism traits, joint attention, cognition and adaptive functioning in preschool children.Journal of neurodevelopmental disorders · 2026Article
- Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults.Systematic reviews · 2024Article
- Heterogeneity and convergence across seven neuroimaging modalities: a review of the autism spectrum disorder literature.Frontiers in psychiatry · 2024Review
- Oromotor skills in autism spectrum disorder: A scoping review.Autism research : official journal of the International Society for Autism Research · 2023Article
- Cortical Source Analysis of the Face Sensitive N290 ERP Component in Infants at High Risk for Autism.Brain sciences · 2022Article
- Are Autistic and Alexithymic Traits Distinct? A Factor-Analytic and Network Approach.Journal of autism and developmental disorders · 2022Article
- ASD with ADHD vs. ASD and ADHD alone: a study of the QbTest performance and single-dose methylphenidate responding in children and adolescents.BMC psychiatry · 2022Article
- Distinct neurocognitive bases for social trait judgments of faces in autism spectrum disorder.Translational psychiatry · 2022Article
- Autistic Adults May Be Erroneously Perceived as Deceptive and Lacking Credibility.Journal of autism and developmental disorders · 2022Article
- Heterogeneity thwarts autism explanatory power: A proposal for endophenotypes.Frontiers in psychiatry · 2022Review
- Social Deficits or Interactional Differences? Interrogating Perspectives on Social Functioning in Autism.Frontiers in psychiatry · 2022Article
- The degeneration changes of basal forebrain are associated with prospective memory impairment in patients with Wilson's disease.Brain and behavior · 2021Article
- Article
- Core-Symptom-Defined Cortical Gyrification Differences in Autism Spectrum Disorder.Frontiers in psychiatry · 2021Article
- Autism spectrum heterogeneity: fact or artifact?Molecular psychiatry · 2020Review
- Developmental changes of cortical white-gray contrast as predictors of autism diagnosis and severity.Translational psychiatry · 2018Article
- Understanding the role of steroids in typical and atypical brain development: Advantages of using a "brain in a dish" approach.Journal of neuroendocrinology · 2018Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Neuroimaging studies have reported structural and physiological differences that could help understand the causes and development of Autism Spectrum Disorder (ASD). Many of them rely on multisite designs, with the recruitment of larger samples increasing statistical power. However, recent large-scale studies have put some findings into question, considering the results to be strongly dependent on the database used, and demonstrating the substantial heterogeneity within this clinically defined category. One major source of variance may be the acquisition of the data in multiple centres. In this work we analysed the differences found in the multisite, multi-modal neuroimaging database from the UK Medical Research Council Autism Imaging Multicentre Study (MRC AIMS) in terms of both diagnosis and acquisition sites. Since the dissimilarities between sites were higher than between diagnostic groups, we developed a technique called Significance Weighted Principal Component Analysis (SWPCA) to reduce the undesired intensity variance due to acquisition site and to increase the statistical power in detecting group differences. After eliminating site-related variance, statistically significant group differences were found, including Broca's area and the temporo-parietal junction. However, discriminative power was not sufficient to classify diagnostic groups, yielding accuracies results close to random. Our work supports recent claims that ASD is a highly heterogeneous condition that is difficult to globally characterize by neuroimaging, and therefore different (and more homogenous) subgroups should be defined to obtain a deeper understanding of ASD. Hum Brain Mapp 38:1208-1223, 2017. © 2016 Wiley Periodicals, Inc.
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Registered trials
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.