BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Dementia is a frequent problem encountered in advanced stages of Parkinson disease (PD).
In recent years, research has focused on the pre-dementia stages of cognitive impairment in …

Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a develo** synergy between emerging analysis techniques and …

Two decades of cross-species neuroscience research on rapid action-stop** in the
laboratory has provided motivation for an underlying prefrontal–basal ganglia circuit. Here …

Many aspects of cognition and behaviour are regulated by noradrenergic projections to the
forebrain originating from the locus coeruleus, acting through alpha and beta …

Noradrenergic and cholinergic systems are among the most vulnerable brain systems in
neuropsychiatric diseases of ageing, including Alzheimer's disease, Parkinson's disease …

Parkinson's disease causes a characteristic combination of motor symptoms due to
progressive neurodegeneration of dopaminergic neurons in the substantia nigra pars …

Altered inhibitory control (response inhibition, reward-based inhibition, cognitive inhibition,
reversal learning) has been implicated in eating disorders (EDs) and obesity. It is unclear …

Stop** an inappropriate response requires the involvement of the prefrontal-subthalamic
hyperdirect pathway. However, how the prefrontal-striatal indirect pathway contributes to …

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 …