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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach.

Gokul Manoj, Pranay Saini, Ravi Ratnaik

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    Summary
    This summary is machine-generated.

    Early autism spectrum disorder (ASD) detection is challenging. This study found age-specific morphological connectivity in children aged 6-11 years shows promise for improved ASD diagnosis using sMRI data.

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    Area of Science:

    • Neuroscience
    • Medical Imaging
    • Developmental Disorders

    Background:

    • Autism spectrum disorder (ASD) is a common neurological disorder with challenging early detection.
    • Current diagnostic approaches rely on various physiological and medical imaging signals, often considering patient age and symptom severity.

    Purpose of the Study:

    • To investigate the influence of age on the diagnosis of autism spectrum disorders (ASD).
    • To evaluate the effectiveness of morphological features (MF) and morphological connectivity features (MCF) in age-specific ASD diagnosis.

    Main Methods:

    • Utilized structural magnetic resonance imaging (sMRI) data from the ABIDE-I and ABIDE-II databases.
    • Analyzed data from three age groups: 6-11, 11-18, and 6-18 years.
    • Employed a random forest (RF) classifier on preprocessed MF (592 per subject) and MCF (10,878 per subject).

    Main Results:

    • The 6-11 age group demonstrated superior performance in ASD diagnosis compared to other age groups for both MF and MCF.
    • Morphological connectivity features (MCF) showed particularly strong diagnostic potential in the youngest age group.
    • The RF classifier achieved 75.8% accuracy, 83.1% F1 score, 86% recall, and 80.4% precision in the 6-11 age group.

    Conclusions:

    • Age-specific analysis, particularly focusing on morphological connectivity, is a promising avenue for enhancing ASD diagnosis.
    • The findings suggest that distinct developmental stages may influence the manifestation of brain morphology relevant to ASD.