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The SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualization

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  • D. A. Barrière

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay
    Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM)

  • R. Magalhães

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay
    Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • A. Novais

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • P. Marques

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • E. Selingue

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay)

  • F. Geffroy

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay)

  • F. Marques

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • J. Cerqueira

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • J. C. Sousa

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • F. Boumezbeur

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay)

  • M. Bottlaender

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay)

  • T. M. Jay

    (Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM)

  • A. Cachia

    (Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM
    Université de Paris, Laboratoire de Psychologie du Développement et de l’Éducation de l’Enfant, CNRS
    Institut Universitaire de France)

  • N. Sousa

    (Life And Health Sciences Research Institute (ICVS), School of Medicine, University of Minho
    ICVS/3B’s, PT Government Associate Laboratory)

  • S. Mériaux

    (NeuroSpin, Institut des Sciences du Vivant Frédéric Joliot, Commissariat à l’Énergie Atomique et aux Énergies Alternatives
    Université Paris-Saclay)

Abstract

Preclinical imaging studies offer a unique access to the rat brain, allowing investigations that go beyond what is possible in human studies. Unfortunately, these techniques still suffer from a lack of dedicated and standardized neuroimaging tools, namely brain templates and descriptive atlases. Here, we present two rat brain MRI templates and their associated gray matter, white matter and cerebrospinal fluid probability maps, generated from ex vivo $${\mathrm{T}}_2^ \ast$$T2*-weighted images (90 µm isotropic resolution) and in vivo T2-weighted images (150 µm isotropic resolution). In association with these templates, we also provide both anatomical and functional 3D brain atlases, respectively derived from the merging of the Waxholm and Tohoku atlases, and analysis of resting-state functional MRI data. Finally, we propose a complete set of preclinical MRI reference resources, compatible with common neuroimaging software, for the investigation of rat brain structures and functions.

Suggested Citation

  • D. A. Barrière & R. Magalhães & A. Novais & P. Marques & E. Selingue & F. Geffroy & F. Marques & J. Cerqueira & J. C. Sousa & F. Boumezbeur & M. Bottlaender & T. M. Jay & A. Cachia & N. Sousa & S. Mér, 2019. "The SIGMA rat brain templates and atlases for multimodal MRI data analysis and visualization," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13575-7
    DOI: 10.1038/s41467-019-13575-7
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