Large-scale data collection efforts to map the brain are underway at multiple spatial and temporal scales, but all face fundamental problems posed by high-dimensional data and intersubject variability. Even seemingly simple problems, such as identifying a neuron/brain region across animals/subjects, become exponentially more difficult in high dimensions, such as recognizing dozens of neurons/br...

It is not self-evident to most of us that an atlas is not just a collection of maps bound together or left unbound in a portfolio. As the authors of the present work set forth emphatically on their very first page, an atlas " is a collection of printed maps in book form or bound similarly to a book with a printed title page. " Further, there must be " a rough uniformity of map format , design, ...

In this paper, we introduce a new geometric description of the manifolds matrices fixed rank. The starting point is Grassmann manifold Gr(Rk) linear subspaces dimension r<k in Rk, which avoids use equivalence classes. set equipped with an atlas, provides it structure analytic modeled on R(k?r)×r. Then, define atlas for Mr(Rk×r) full rank and prove that resulting principal bundle base typical...

In this paper, we propose a novel approach for cortical mapping that computes a direct map between two cortical surfaces while satisfying constraints on sulcal landmark curves. By computing the map directly, we can avoid conventional intermediate parameterizations and help simplify the cortical mapping process. The direct map in our method is formulated as the minimizer of a flexible variationa...

We present two interactive, online maps of the University of 15 Wisconsin-Madison campus: The University of Wisconsin-Madison Interactive Campus Map (http://map.wisc.edu) and the Lakeshore Nature Preserve Interactive Map (http://www.lakeshorepreserve.wisc.edu). Although these two projects represent the same university campus, the former follows a wayfinding-based model of campus mapping while t...

Feature Open access, freely available online A rmed with billions of cells, elaborate circuitry, and a seemingly animate anatomy, capable of growing as it learns, the brain is a marvelously enigmatic organ. Much to the chagrin of those that study it, the brain remains perhaps too mysterious. Although genetic information exploded out of the Human Genome Project, it has been of little consequence...

The tissue microarray (TMA) technology provides the means for high-throughput analysis of multiple tissues and cells. The technique is used within the Human Protein Atlas project for global analysis of protein expression patterns in normal human tissues, cancer and cell lines. Here we present the assembly of 1 mm cores, retrieved from microscopically selected representative tissues, into ...

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insi...

The segmentation from MRI of macroscopically ill-defined and highly variable structures, such as the hippocampus (Hc) and the amygdala (Am), requires the use of specific constraints. Here, we describe and evaluate a fast fully automatic hybrid segmentation that uses knowledge derived from probabilistic atlases and anatomical landmarks, adapted from a semi-automatic method. The algorithm was des...