Computational neuroanatomy

Modeling and Visualization of Computational Neuroanatomy - Part II

Rapid and convenient access to digital image archives, as well as archive-based computational tools, are fundamental to many hypothesis-driven investigations of brain anatomy and function in health and disease. The complexity and density of brain image data requires the design of intelligent tools which allow scientific and clinical data, collected at numerous research centers, to be compared, ...

Multi-level neuron and network modeling in computational neuroanatomy

Rolf Kötter1,2, Pernille Nielsen3, Jonas Dyhrfjeld-Johnsen1,4, Friedrich T. Sommer5, Georg Northoff6 C. & O. Vogt Brain Research Institute; Institute of Anatomy II; Institute of Neurophysiology, Heinrich Heine University, Düsseldorf, Germany. Niels Bohr Institute of Astrophysics, Physics & Geophysics, University of Copenhagen, Denmark. Dept. of Neural Information Processing, University of Ulm, ...

Correlative Neuroanatomy

Computational neuroanatomy: mapping cell-type densities in the mouse brain, simulations from the Allen Brain Atlas

The Allen Brain Atlas (ABA) of the adult mouse consists of digitized expression profiles of thousands of genes in the mouse brain, co-registered to a common three-dimensional template (the Allen Reference Atlas). This brain-wide, genome-wide data set has triggered a renaissance in neuroanatomy. Its voxelized version (with cubic voxels of side 200 microns) can be analyzed on a desktop computer u...

Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy.

Alzheimer's disease (AD) is characterized by a heterogeneous distribution of pathological changes throughout the brain. Magnetic resonance imaging can be used to investigate the regional distribution of cortical atrophy in AD in vivo. One marker for the disease-specific atrophy is the thickness of the cortical mantle across the brain, obtained with automated 3-D image processing. Here, we prese...