Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning

Understand

Autism Spectrum Disorder(ASD) is a set of neurodevelopmental conditions that affect patients' social abilities.

• In recent years, many studies have employed deep learning to diagnose this brain dysfunction through functional MRI (fMRI).
• However, existing approaches solely focused on the abnormal brain functional connections but ignored the impact of regional activities.
• Due to this biased prior knowledge, previous diagnosis models suffered from inter-site measurement heterogeneity and inter-individual phenotypic differences.