The imprecise nature of psychiatric nosology restricts progress towards characterizing and
treating mental health disorders. One issue is the 'heterogeneity problem': different causal …

Autism spectrum disorder is a construct used to describe individuals with a specific
combination of impairments in social communication and repetitive behaviours, highly …

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …

Despite over two decades of neuroimaging research, a unanimous definition of the pattern
of structural variation associated with autism spectrum disorder (ASD) has yet to be found …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Functional magnetic resonance imaging (fMRI) has been widely used to examine the
relationships between brain function and phenotypic features in neurodevelopmental …

Abstract In the recent 5 years (2014–2018), there has been growing interest in the use of
machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic …

Cognitive flexibility enables appropriate responses to a changing environment and is
associated with positive life outcomes. Adolescence, with its increased focus on transitioning …

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …

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 …