BMA 2019 Ex Vivo (Brain Space 2)

Authors: Alexander Woodward1*, Rui Gong1, Ken Nakae2, Junichi Hata3,4,5, Hideyuki Okano3,4, Shin Ishii2, Yoko Yamaguchi6,7,8

1. Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science
2. Integrated Systems Biology Laboratory (Ishii Laboratory), Division of Systems Informatics, Department of Systems Science, Graduate School of Informatics, Kyoto University
3. Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science
4. Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine
5. Division of Regenerative Medicine, Jikei University School of Medicine
6. Applied Electronics Laboratory, Kanazawa Institute of Technology
7. Graduate School of Information Science and Technology, The University Tokyo
8. Laboratory for Cognitive Brain Mapping, RIKEN Center for Brain Science

*corresponding author: Alexander Woodward (alexander.woodward@riken.jp)

DATASET DESCRIPTION

This atlas is composed of a population average ex-vivo MRI T2WI contrast mapped with the BMA 2017 Ex Vivo (published by Woodward et al. The Brain/MINDS 3D digital marmoset brain atlas).
The population average MRI was constructed based on scans of 25 individual brains. The 25 brains were aligned with one another by iteratively applying linear and non-linear registration and averaging the transformation files until convergence. Data of individual brains were then resampled with an isotropic spatial resolution of 100×100×100µm3 and averaged across brain. The registration procedure gave a brain shape with a high signal-to-noise ratio compared to an individual MRI scan. The average MRI was then AC-PC aligned within an RAS (Right-Anterior-Superior) coordinate system.
Cortical flat map and mid-thickness surfaces for the left and right hemispheres are now provided in the common GIFTI format (*. gii) for surface data. These are compatible with Connectome Workbench (version 1.5.0 and higher) and a Scene file is also provided for easy viewing of the data.

KEYWORDS : digital atlas, marmoset, Callithrix jacchus, brain, reference atlas, 3D, NIfTI, brain atlas, 3D Slicer, flat map, GIfTI, Connectome Workbench

Click here to preview this Atlas in the 3D viewer

CITATION

Woodward, Alexander; Gong, Rui; Nakae, Ken; Hata, Junichi; Okano, Hideyuki; Ishii, Shin; Yamaguchi, Yoko : Brain/MINDS 3D Marmoset Reference Brain Atlas 2019 (DataID: 4520) https://doi.org/10.24475/bma.4520

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bma_2019_exvivo_v1.0.0.zip Initial package
CHANGES.txt Change log
base_data/ sp2_avg_mri_exvivo_t2wi_v1.0.nii.gz
Population average ex-vivo MRI T2WI N=25
labelmap/ sp2_label_512_3dslicer_v1.0.ctbl Color look-up table
sp2_label_512_v1.0.nii.gz
Atlas region label map
transforms/ sp1_to_sp2_affine_v1.0.txt Linear part of transformation between BMA 2017 (brain space 1) and BMA 2019 (brain space 2). Affine matrix.
sp1_to_sp2_invwarp_v1.0.nii.gz Inverse of non-linear part of transformation between BMA 2017 (brain space 1) and BMA 2019 (brain space 2). Displacement field.
sp1_to_sp2_warp_v1.0.nii.gz Non-linear part of transformation between BMA 2017 (brain space 1) and BMA 2019 (brain space 2). Displacement field.
bma_sp2_cortical_flatmaps_v1.0.1.zip Flat map package
CHANGES.txt Change log
bma_sp2.lh.cortex.label.gii Left hemisphere cortex region label
Atlas region label map
bma_sp2.lh.flatmap.surf.gii
Left hemisphere cortical flat map
bma_sp2.lh.graymid.surf.gii
Left hemisphere cortical mid-thickness surface
bma_sp2.rh.cortex.label.gii Right hemisphere cortex region label
bma_sp2.rh.flatmap.surf.gii
Right hemisphere cortical flat map
bma_sp2.rh.graymid.surf.gii
Right hemisphere cortical mid-thickness surface
bma_sp2_connectome_workbench.scene Connectome workbench scene file
bma_sp2_connectome_workbench.spec Connectome workbench specification file

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USAGE EXAMPLE
  • Perform image registration to Brain/MINDS Atlas using ANTs : Tutorial page.

VERSION HISTORY

  • 13-09-2023: Updated labels color of flat map package.
  • 17-06-2021: Added Flat map package.
  • 04-02-2020: Initial release.