Humans are endowed with a natural sense of fairness that permeates social perceptions and
interactions. This moral stance is so ubiquitous that we may not notice it as a fundamental …

A emoção pode ser funcionalmente considerada como uma disposição à ação que prepara
o organismo para comportamentos relacionados à aproximação e esquiva. Para preparar …

Autism spectrum disorder (ASD) is a neurodevelopmental condition with multiple causes,
comorbid conditions, and a wide range in the type and severity of symptoms expressed by …

Fully automated classification algorithms have been successfully applied to diagnose a wide
range of neurological and psychiatric diseases. They are sufficiently robust to handle data …

Supervised machine learning (ML) algorithms are increasingly popular tools for fMRI
decoding due to their predictive capability and their ability to capture information encoded by …

This paper introduces a multivariate Bayesian (MVB) scheme to decode or recognise brain
states from neuroimages. It resolves the ill-posed many-to-one mapping, from voxel values or …

In the present study, we applied the Support Vector Machine (SVM) algorithm to perform
multivariate classification of brain states from whole functional magnetic resonance imaging (…

Pattern recognition approaches, such as the Support Vector Machine (SVM), have been
successfully used to classify groups of individuals based on their patterns of brain activity or …

Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …

In the past years, mass univariate statistical analyses of neuroimaging data have been
complemented by the use of multivariate pattern analyses, especially based on machine learning …