Several properties of the cerebral cortex, including its columnar and laminar organization,
as well as the topographic organization of cortical areas, can only be properly understood in …

We present a technique for automatically assigning a neuroanatomical label to each voxel in
an MRI volume based on probabilistic information automatically estimated from a manually …

In this study, we have assessed the validity and reliability of an automated labeling system
that we have developed for subdividing the human cerebral cortex on magnetic resonance …

Accurate and automated methods for measuring the thickness of human cerebral cortex
could provide powerful tools for diagnosing and studying a variety of neurodegenerative and …

The surface of the human cerebral cortex is a highly folded sheet with the majority of its
surface area buried within folds. As such, it is a difficult domain for computational as well as …

We present a technique for automatically assigning a neuroanatomical label to each location
on a cortical surface model based on probabilistic information estimated from a manually …

The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a longitudinal multisite observational
study of healthy elders, mild cognitive impairment (MCI), and Alzheimer's disease. …

The neurons of the human cerebral cortex are arranged in a highly folded sheet, with the
majority of the cortical surface area buried in folds. Cortical maps are typically arranged with a …

We describe a comprehensive linear approach to the problem of imaging brain activity with
high temporal as well as spatial resolution based on combining EEG and MEG data with …

We present a novel skull-stripping algorithm based on a hybrid approach that combines
watershed algorithms and deformable surface models. Our method takes advantage of the …