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      A three-dimensional stereotaxic atlas of the gray short-tailed opossum ( Monodelphis domestica) brain

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          Abstract

          The gray short-tailed opossum ( Monodelphis domestica) is a small marsupial gaining recognition as a laboratory animal in biomedical research. Despite numerous studies on opossum neuroanatomy, a consistent and comprehensive neuroanatomical reference for this species is still missing. Here we present the first three-dimensional, multimodal atlas of the Monodelphis opossum brain. It is based on four complementary imaging modalities: high resolution ex vivo magnetic resonance images, micro-computed tomography scans of the cranium, images of the face of the cutting block, and series of sections stained with the Nissl method and for myelinated fibers. Individual imaging modalities were reconstructed into a three-dimensional form and then registered to the MR image by means of affine and deformable registration routines. Based on a superimposition of the 3D images, 113 anatomical structures were demarcated and the volumes of individual regions were measured. The stereotaxic coordinate system was defined using a set of cranial landmarks: interaural line, bregma, and lambda, which allows for easy expression of any location within the brain with respect to the skull. The atlas is released under the Creative Commons license and available through various digital atlasing web services.

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          The online version of this article (10.1007/s00429-017-1540-x) contains supplementary material, which is available to authorized users.

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          A mesoscale connectome of the mouse brain.

          Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease.
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            Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system

            The Allen Brain Atlas (http://www.brain-map.org) provides a unique online public resource integrating extensive gene expression data, connectivity data and neuroanatomical information with powerful search and viewing tools for the adult and developing brain in mouse, human and non-human primate. Here, we review the resources available at the Allen Brain Atlas, describing each product and data type [such as in situ hybridization (ISH) and supporting histology, microarray, RNA sequencing, reference atlases, projection mapping and magnetic resonance imaging]. In addition, standardized and unique features in the web applications are described that enable users to search and mine the various data sets. Features include both simple and sophisticated methods for gene searches, colorimetric and fluorescent ISH image viewers, graphical displays of ISH, microarray and RNA sequencing data, Brain Explorer software for 3D navigation of anatomy and gene expression, and an interactive reference atlas viewer. In addition, cross data set searches enable users to query multiple Allen Brain Atlas data sets simultaneously. All of the Allen Brain Atlas resources can be accessed through the Allen Brain Atlas data portal.
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              Waxholm Space atlas of the Sprague Dawley rat brain.

              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 μm isotropic voxels for the MRI volume and 78 μm 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 orientation analysis 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.
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                Author and article information

                Contributors
                p.majka@nencki.gov.pl
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                6 December 2017
                6 December 2017
                2018
                : 223
                : 4
                : 1779-1795
                Affiliations
                [1 ]ISNI 0000 0001 1943 2944, GRID grid.419305.a, Laboratory of Neuroinformatics, Department of Neurophysiology, , Nencki Institute of Experimental Biology of Polish Academy of Sciences, ; 3 Pasteur Street, 02-093 Warsaw, Poland
                [2 ]ISNI 0000 0001 1943 2944, GRID grid.419305.a, Laboratory of Neurobiology of Development and Evolution, , Nencki Institute of Experimental Biology of Polish Academy of Sciences, ; 3 Pasteur Street, 02-093 Warsaw, Poland
                [3 ]ISNI 0000 0001 2301 5211, GRID grid.440603.5, Department of Biology and Environmental Science, , Cardinal Stefan Wyszynski University, ; 1/3 Woycicki Street, 01-938 Warsaw, Poland
                [4 ]H. Niewodniczański Institute of Nuclear Physics of Polish Academy of Sciences, Radzikowskiego 152, 31-342 Kraków, Poland
                [5 ]ISNI 0000 0001 1943 2944, GRID grid.419305.a, Department of Molecular and Cellular Neurobiology, , Nencki Institute of Experimental Biology of Polish Academy of Sciences, ; 3 Pasteur Street, 02-093 Warsaw, Poland
                Author information
                http://orcid.org/0000-0002-9055-8686
                http://orcid.org/0000-0003-0812-9872
                Article
                1540
                10.1007/s00429-017-1540-x
                5884921
                29214509
                11410a0f-810b-4861-b770-010f60625d81
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 25 November 2016
                : 15 October 2017
                Funding
                Funded by: European Regional Development Fund under the Operational Programme Innovative Economy
                Award ID: POIG.02.03.00-00-003/09
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2018

                Neurology
                monodelphis opossum,brain atlas,mri,neuroanatomy,digital atlas,image registration,nissl staining,brain template,3d visualization

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