Autistic Spectrum Disorders Diagnose with Graph Neural Networks

What is it about?

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects socialization and is characterized by abnormal, restricted, or repetitive language behaviors. Our experiments on 138 real-world samples demonstrate the superior performance of our proposed model for diagnosis.

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Photo by Caleb Woods on Unsplash

Photo by Caleb Woods on Unsplash

Why is it important?

Current diagnostic process requires highly experienced physicians, making questionnaire-based screening less effective. Recently, imaging-based diagnosis has emerged as a more objective option. In this paper, we propose a graph neural network-based model for ASD diagnosis using Diffusion Tensor Imaging (DTI) and functional Magnetic Resonance Imaging (fMRI) data.