Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

The ability to discriminate signal from noise plays a key role in the analysis and
interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity …

In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

Despite its great potential in studying brain anatomy and structure, diffusion magnetic
resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI …

Metacognition is the capacity to evaluate the success of one's own cognitive processes in
various domains; for example, memory and perception. It remains controversial whether …

This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …

The mesostriatal dopamine system is prominently implicated in model-free reinforcement
learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free …

The techniques available for the interrogation and analysis of neuroimaging data have a
large influence in determining the flexibility, sensitivity, and scope of neuroimaging …

Diffusion tensor imaging is often performed by acquiring a series of diffusion-weighted spin-
echo echo-planar images with different direction diffusion gradients. A problem of echo …

Searching for food, friends, and mates often begins with an airborne scent. Importantly, odor
concentration rises with physical proximity to an odorous source, suggesting a framework for …