The default mode network (DMN) in humans has been suggested to support a variety of
cognitive functions and has been implicated in an array of neuropsychological disorders …

We evaluate the impact of template choice on template-based segmentation of the
hippocampus in epilepsy. Four dataset-specific strategies are quantitatively contrasted: the …

A general-purpose deformable registration algorithm referred to as “DRAMMS” is presented
in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and …

The main task of medical image registration is to match different modal images or the same
modal images of different periods to provide the doctor with richer diagnostic information …

Importance Interactions of large-scale brain networks may underlie cognitive dysfunctions in
psychiatric and addictive disorders. Objectives To test the hypothesis that the strength of …

Preclinical models have consistently demonstrated the importance of the mesocorticolimbic
(MCL) brain reward system in drug dependence, with critical molecular and cellular …

Although resting‐state brain activity has been demonstrated to correspond with task‐evoked
brain activation, the relationship between intrinsic and evoked brain activity has not been …

We present a novel method for the joint segmentation of anatomical and functional images.
Our proposed methodology unifies the domains of anatomical and functional images …

Deactivation of the human brain's default mode network (DMN) is regarded as suppression
of endogenous activity to support exogenous task-related processes. This phenomenon has …

This article presents a generic probabilistic framework for estimating the statistical
dependency and finding the anatomical correspondences among an arbitrary number of …