Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Mindboggling morphometry of human brains
Mindboggle (http://mindboggle. info) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder that seriously
affects communication and sociality of patients. It is crucial to accurately identify patients with …
affects communication and sociality of patients. It is crucial to accurately identify patients with …
The structural basis of inter-individual differences in human behaviour and cognition
Inter-individual variability in perception, thought and action is frequently treated as a source
of'noise'in scientific investigations of the neural mechanisms that underlie these processes …
of'noise'in scientific investigations of the neural mechanisms that underlie these processes …
[HTML][HTML] Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …
symptoms that appear in early childhood. ASD is also associated with communication …
Longitudinal changes in cortical thickness in autism and typical development
BA Zielinski, MBD Prigge, JA Nielsen, AL Froehlich… - Brain, 2014 - academic.oup.com
The natural history of brain growth in autism spectrum disorders remains unclear. Cross-
sectional studies have identified regional abnormalities in brain volume and cortical …
sectional studies have identified regional abnormalities in brain volume and cortical …
Anatomical abnormalities in autism?
Substantial controversy exists regarding the presence and significance of anatomical
abnormalities in autism spectrum disorders (ASD). The release of the Autism Brain Imaging …
abnormalities in autism spectrum disorders (ASD). The release of the Autism Brain Imaging …