Bayesian whole-brain functional magnetic resonance imaging (fMRI) analysis with three-dimensional spatial smoothing priors has been shown to produce state-of-the-art activity maps without pre-smoothing the data. The proposed inference algorithms are computationally demanding however, and used have several less appealing properties, such as being improper having infinite range. We propose a stat...

Background: Recent cross-sectional studies highlighted the loss of dopaminergic neurons in ventral tegmental area (VTA) as an early pathophysiological event Alzheimer’s disease (AD). Objective: In this study, we longitudinally investigated by resting-state fMRI (rs-fMRI) a cohort patients with mild cognitive impairment (MCI) due to AD evaluate impact VTA disconnection predicting conversion AD. ...

Background: Migraine manifests as recurrent headaches associated with nausea, vomiting, and sensory hypersensitivity. Functional magnetic resonance imaging (fMRI) images activation in different parts of brain either on stimulation or at rest. Aims Objectives: The aim the study was to fMRI changes response visual migraine patients without aura compared healthy volunteers. Materials Methods: A pr...

Introduction:  Image  distortion  is  one  of  the  major  problems  of  magnetic  resonance  imaging  (MRI) for use in 3DMRI, velocity MRI, FMRI and radiotherapy treatment planning (RTTP). It is  widely known that the most obvious effect of the inhomogenity of the magnetic fields and the  nonlinearity  of  the  gradient  is  the  Geometric  Distortion  of  MR  tomograms.  In  this  study,  the...

• Applications of fMRI, EEG, fNIRS and MEG in road safety driving behaviour research analysed. (Dis)advantages each neuroimaging method various experiments discussed. EEG found to be the most popular experiments, followed by fMRI. fMRI studies mostly experimented neural effects recreational drugs distractive stimuli. predominantly focused on driver fatigue detection sleepiness. methods have sub...