Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

Artificial intelligence (AI) has revolutionized numerous industries, including medicine. In
recent years, the integration of AI into medical practices has shown great promise in …

Dynamic functional connectivity, that is, the study of how interactions among brain regions
change dynamically over the course of an fMRI experiment, has recently received wide …

Functional magnetic resonance imaging (fMRI), a noninvasive neuroimaging method that
provides an indirect measure of neuronal activity by detecting blood flow changes, has …

This article develops a Bayesian partitioning prior model from spanning trees of a graph, by
first assigning priors on spanning trees, and then the number and the positions of removed …

A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data Page 1 The Annals
of Applied Statistics 2016, Vol. 10, No. 2, 638–666 DOI: 10.1214/16-AOAS926 © Institute of …

The auditory system comprises multiple subcortical brain structures that process and refine
incoming acoustic signals along the primary auditory pathway. Due to technical limitations of …

The striatum is involved in many different aspects of behaviour, reflected by the variety of
cortical areas that provide input to this structure. This input is topographically organized and …

Spatial whole-brain Bayesian modeling of task-related functional magnetic resonance
imaging (fMRI) is a great computational challenge. Most of the currently proposed methods …

The general linear model (GLM) is a widely popular and convenient tool for estimating the
functional brain response and identifying areas of significant activation during a task or …