SCARPAZZA , Cristina

Background: Brain magnetic resonance imaging (MRI) is the most effective surveillance tool for the detection of asymptomatic progressive multifocal leukoencephalopathy (PML). However, the optimal frequency for routine MRI surveillance is under-investigated. Objective: To understand whether, upon their first MRI appearance, PML lesions present a...

Background. Neuroanatomical abnormalities in first-episode psychosis (FEP) tend to be sub tle and widespread. The vast majority of previous studies have used small samples, and there fore may have been underpowered. In addition, most studies have examined participants at a single research site, and therefore the results may be specific to the...

Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect psychosis at the individual level, the reliability of the findings is unclear due to potential methodological issues that may have inflated the existing literature. This study aimed to elucidate the extent to which the application of ML to...

The increasing availability of magnetic resonance imaging (MRI) datasets is boosting the interest in the application of machine learning in neuroimaging. A key challenge to the development of reliable machine learning models, and their translational implementation in real-word clinical practice, is the integration of datasets collected using...