This literature review presents a comprehensive overview of machine learning (ML)
applications in proton MR spectroscopy (MRS). As the use of ML techniques in MRS …

The role of functional magnetic resonance imaging (fMRI) is assuming an increasingly
central role in autism diagnosis. The integration of Artificial Intelligence (AI) into the realm of …

Autism spectrum is a brain development condition that impairs an individual's capacity to
communicate socially and manifests through strict routines and obsessive–compulsive …

Autism spectrum disorder (ASD) is a pervasive developmental disorder with severe
cognitive impairment in social communication and interaction. Previous studies have …

Quantitative traits are measurable characteristics distributed along a continuous scale
thought to relate to underlying biology. There is growing interest in the use of quantitative …

In recent years, deep learning models have shown their advantages in neuroimage
analysis, such as brain disease diagnosis. Unfortunately, it is usually difficult to acquire …

Purpose Disorders on the autism spectrum have characteristics that can manifest as
difficulties with communication, executive functioning, daily living, and more. These …

Background Social rewards (eg, social feedback, praise, and social interactions) are
fundamental to social learning and relationships across the life span. Exposure to social …

Large amounts of fMRI data are essential to building generalized predictive models for brain
disease diagnosis. In order to conduct extensive data analysis, it is often necessary to gather …

Social difficulties during interactions with others are central to autism spectrum disorder
(ASD). Understanding the links between these social difficulties and their underlying neural …