4.7 Article

Waxholm Space atlas of the Sprague Dawley rat brain

Journal

NEUROIMAGE
Volume 97, Issue -, Pages 374-386

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2014.04.001

Keywords

Digital brain atlas; Waxholm Space; Sprague Dawley; Rat brain template; Segmentation; Magnetic resonance imaging; Diffusion tensor imaging; Neuroinformatics

Funding

  1. Research Council of Norway
  2. EC Human Brain Project
  3. NIH/NCRR National Biomedical Technology Research Center [P41 EB015897]
  4. Small Animal Imaging Resource Program [U24 CA092656]
  5. Division Of Integrative Organismal Systems
  6. Direct For Biological Sciences [1120912] Funding Source: National Science Foundation

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Three-dimensional digital brain atlases represent an important new generation of neuroinformatics tools for understanding complex brain anatomy, assigning location to experimental data, and planning of experiments. We have acquired a microscopic resolution isotropic MRI and DTI atlasing template for the Sprague Dawley rat brain with 39 mu m isotropic voxels for the MRI volume and 78 mu m isotropic voxels for the DTI. Building on this template, we have delineated 76 major anatomical structures in the brain. Delineation criteria are provided for each structure. We have applied a spatial reference system based on internal brain landmarks according to the Waxholm Space standard, previously developed for the mouse brain, and furthermore connected this spatial reference system to the widely used stereotaxic coordinate system by identifying cranial sutures and related stereotaxic landmarks in the template using contrast given by the active staining technique applied to the tissue. With the release of the present atlasing template and anatomical delineations, we provide a new tool for spatial orientationanalysis of neuroanatomical location, and planning and guidance of experimental procedures in the rat brain. The use of Waxholm Space and related infrastructures will connect the atlas to interoperable resources and services for multi-level data integration and analysis across reference spaces. (C) 2014 Elsevier Inc. All rights reserved.

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