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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Published on: September 12, 2011

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

João Pinheiro1, Beatriz Afonso2, Emanuel Cortesão de Seiça3

  • 1Imaging Department, University of Algarve-Centre for Health Studies, 8005-139 Faro, Portugal.

Diagnostics (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

Autistic individuals exhibit greater head motion in neuroimaging studies, while signal quality differences are minimal and site-dependent. Standard quality control disproportionately excludes autistic participants, necessitating better motion management and balanced QC in multi-site research.

Keywords:
ABIDE-IIautism spectrum disordermri data qualitymulti-site neuroimagingquality control bias

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Area of Science:

  • Neuroimaging
  • Autism Spectrum Disorder Research
  • Data Quality Assessment

Background:

  • Head motion and scan quality variability are significant challenges in autism neuroimaging.
  • Large multi-site datasets like ABIDE-II enable systematic analysis of MRI data quality and site heterogeneity.
  • Understanding these factors is crucial for accurate diagnostic differences in autism research.

Purpose of the Study:

  • To quantify diagnostic differences in MRI data quality between autistic (ASD) and typically developing (TD) individuals.
  • To assess the influence of site-level heterogeneity on neuroimaging data quality.
  • To evaluate the impact of quality-control thresholds on sample composition in multi-site autism studies.

Main Methods:

  • Utilized Functional MRI Quality Assessment Protocol (QAP) metrics and phenotypic data from the ABIDE-II dataset.
  • Analyzed key quality metrics including mean framewise displacement (mFD), signal-to-noise ratio (SNR), and entropy focus criterion (EFC).
  • Employed non-parametric tests and linear mixed-effects models, accounting for site as a random factor, to compare ASD and TD groups.

Main Results:

  • ASD participants showed significantly greater head motion (mFD) compared to TD individuals across most sites.
  • Signal quality differences (SNR, EFC) were modest and largely attributable to site effects.
  • Simulated quality-control procedures disproportionately excluded ASD participants (up to 31%) versus TD participants (18%).

Conclusions:

  • Autistic individuals consistently exhibit higher head motion in neuroimaging studies.
  • Signal quality variations are minimal and primarily driven by site-specific factors.
  • Current quality-control methods unfairly exclude ASD individuals, underscoring the need for improved motion handling and balanced QC strategies in multi-site research.