OSCR

Autistic vs. Control Differences in MRI Scan Quality Across ABIDE-II Sites.

Overview

Authors: João Pinheiro1, Beatriz Afonso2, Emanuel Cortesão de Seiça3, Rita Gonçalves4, Luís Ribeiro1, Joana Reis5
  1. Imaging Department, University of Algarve-Centre for Health Studies, 8005-139 Faro, Portugal
  2. Faculty of Psychology, University of Aveiro, 3800-193 Aveiro, Portugal
  3. Algarve Private Hospital Group, 8005-226 Faro, Portugal
  4. Faculty of Biomedical Sciences and Medicine, University of Algarve, 8005-139 Faro, Portugal
  5. Psychiatry Department, Hospital of Viana do Castelo, 4900-408 Viana do Castelo, Portugal
Institutions: University of Algarve (Portugal); University of Aveiro (Portugal)
Journal: Diagnostics (Basel, Switzerland), volume 16, issue 10, article 1478
Dates: received 2 March 2026; accepted 7 May 2026; published online 13 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/diagnostics16101478 · PMID 42196844 · PMCID PMC13205925 · OpenAlex W7161056312
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), autism (population), methods / tools (subfield)
Methods: Statistics, Preprocessing, fMRI & imaging
Keywords: autism spectrum disorder, mri data quality, multi-site neuroimaging, quality control bias, ABIDE-II
Topic: Autism Spectrum Disorder Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: National Institute of Mental Health (R21 MH107045)
Citations: not cited yet (Europe PMC); 25 references in the paper

Abstract

Background: Head motion and variability in scan quality remain major methodological challenges in autism neuroimaging. Large multi-site datasets such as ABIDE-II provide a unique opportunity to systematically quantify diagnostic differences in MRI data quality and assess the influence of site-level heterogeneity. Methods: Functional MRI Quality Assessment Protocol (QAP) metrics were combined with phenotypic data from ABIDE-II. Participants were classified as autistic (ASD) or typically developing (TD). Key quality metrics—including mean framewise displacement (mFD), proportion of volumes exceeding 0.20 mm (FD > 0.20), signal-to-noise ratio (SNR), and entropy focus criterion (EFC)—were analyzed alongside age, sex, IQ, and site. Group differences were evaluated using non-parametric tests and linear mixed-effects models with site as a random factor. Additional analyses examined site-level heterogeneity and the impact of quality-control (QC) thresholds on sample composition. Results: The final sample included 1277 participants (579 ASD; 698 TD) across 14 sites. ASD participants exhibited significantly greater head motion (median mFD = 0.101 vs. 0.081 mm; p < 1 × 10−10) and modest reductions in signal quality (lower SNR, higher EFC). Elevated motion in ASD was observed in 12 of 14 sites, although effect sizes varied substantially. Mixed-effects models confirmed that diagnosis remained a significant predictor of motion after adjusting for covariates. In contrast, signal-quality differences were small and largely explained by site effects. Simulated QC procedures disproportionately excluded ASD participants, with exclusion rates up to 31% compared to 18% in TD. Conclusions: ASD participants show consistently higher head motion, while signal-quality differences are minimal and largely site-driven. Standard QC procedures disproportionately exclude ASD individuals, highlighting the need for improved motion handling and more balanced quality-control strategies in multi-site studies.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data Availability Statement

The data analyzed in this study are publicly available through the Autism Brain Imaging Data Exchange II (ABIDE-II) initiative. fMRI quality metrics (Quality Assessment Protocol; QAP) and phenotypic datasets were obtained from the ABIDE-II repository, accessible via the International Neuroimaging Data-sharing Initiative (INDI) platform (http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html, accessed on 27 January 2026). Access to ABIDE-II data requires registration and agreement to the data usage terms established by the data contributors. No new raw imaging data were generated as part of this study. All analyses were conducted using previously released, de-identified datasets. Derived analysis code and statistical scripts used to generate the results reported in this manuscript are available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Funding: added National Institute of Mental Health: R21 MH107045

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 5 keywords, 24 references.

Cite

This paper

Pinheiro, J., Afonso, B., de Seiça, E. C., Gonçalves, R., Ribeiro, L., & Reis, J. (2026). Autistic vs. Control Differences in MRI Scan Quality Across ABIDE-II Sites. Diagnostics (Basel, Switzerland), 16(10), 1478. https://doi.org/10.3390/diagnostics16101478

BibTeX

@article{pinheiro2026autistic,
author = {Pinheiro, João and Afonso, Beatriz and de Seiça, Emanuel Cortesão and Gonçalves, Rita and Ribeiro, Luís and Reis, Joana},
title = {{Autistic vs. Control Differences in MRI Scan Quality Across ABIDE-II Sites}},
journal = {Diagnostics (Basel, Switzerland)},
year = {2026},
month = may,
volume = {16},
number = {10},
pages = {1478},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2075-4418},
doi = {10.3390/diagnostics16101478},
url = {https://doi.org/10.3390/diagnostics16101478},
pmid = {42196844},
pmcid = {PMC13205925}
}

RIS

TY - JOUR
AU - Pinheiro, João
AU - Afonso, Beatriz
AU - de Seiça, Emanuel Cortesão
AU - Gonçalves, Rita
AU - Ribeiro, Luís
AU - Reis, Joana
TI - Autistic vs. Control Differences in MRI Scan Quality Across ABIDE-II Sites
T2 - Diagnostics (Basel, Switzerland)
J2 - Diagnostics (Basel)
PY - 2026
DA - 2026/05/13
VL - 16
IS - 10
SP - 1478
SN - 2075-4418
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/diagnostics16101478
UR - https://doi.org/10.3390/diagnostics16101478
LA - en
ER -

CSL-JSON

{
"id": "10.3390/diagnostics16101478",
"type": "article-journal",
"title": "Autistic vs. Control Differences in MRI Scan Quality Across ABIDE-II Sites",
"container-title": "Diagnostics (Basel, Switzerland)",
"author": [
{
"family": "Pinheiro",
"given": "João"
},
{
"family": "Afonso",
"given": "Beatriz"
},
{
"family": "de Seiça",
"given": "Emanuel Cortesão"
},
{
"family": "Gonçalves",
"given": "Rita"
},
{
"family": "Ribeiro",
"given": "Luís"
},
{
"family": "Reis",
"given": "Joana"
}
],
"container-title-short": "Diagnostics (Basel)",
"volume": "16",
"issue": "10",
"page": "1478",
"DOI": "10.3390/diagnostics16101478",
"PMID": "42196844",
"PMCID": "PMC13205925",
"ISSN": "2075-4418",
"publisher": "Multidisciplinary Digital Publishing Institute (MDPI)",
"URL": "https://doi.org/10.3390/diagnostics16101478",
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
13
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1002/hbm.70561
Benchmarking fMRI Denoising Pipelines.
Journal: Human brain mapping
In common: methods / tools, 5 references
[2] doi:10.1038/s41593-026-02287-z [code]
Autism subtypes identified using cross-species functional connectivity analyses.
Journal: Nature neuroscience
In common: autism, 4 references
[3] doi:10.1162/imag.a.1209
Naturalistic movie viewing is an effective functional localizer of the fusiform face area in adolescents with and without autism.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: autism, 4 references
[4] doi:10.1002/aur.70243
Autism and Cortical Thickness Deviation From Neurotypical Controls: Evidence for a Spatial Association With Serotonin Receptors.
Journal: Autism research : official journal of the International Society for Autism Research
In common: autism, structural MRI / diffusion, 3 references
[5] doi:10.1016/j.patter.2026.101560 [code]
Automating region selection with genetic algorithms for energy landscape analyses of brain dynamics.
Journal: Patterns (New York, N.Y.)
In common: autism, methods / tools, 3 references
[6] doi:10.1038/s44220-026-00623-7 [code]
Optimizing functional connectivity scanning conditions for predicting autistic traits.
Journal: Nature. Mental health
In common: autism, 3 references
[7] doi:10.1016/j.bpsgos.2026.100787 [code]
Dynamic Functional Synchronization Profiles in Autism Differ by Spatial Scale and Along Hierarchical Cortical Gradients.
Journal: Biological psychiatry global open science
In common: autism, 3 references
[8] doi:10.1162/netn.a.547 [code]
An evaluation of the efficacy of single-echo and multi-echo fMRI denoising strategies.
Journal: Network neuroscience (Cambridge, Mass.)
In common: 4 references
[9] doi:10.1002/hbm.70496 [code]
Transdiagnostic Profiles of BOLD Signal Variability in Autism and Schizophrenia Spectrum Disorders: Associations With Cognition and Functioning.
Journal: Human brain mapping
In common: autism, 3 references
[10] doi:10.1162/imag.a.1337 [code]
Data quality biases normative models derived from fetal brain MRI.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: structural MRI / diffusion, 3 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.