10.24475/bma.4520 Atlas Alexander Woodward 0000-0003-3068-1401 Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science JPN 2020 2021-06-17 Rui Gong Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science Ken Nakae Integrated Systems Biology Laboratory (Ishii Laboratory), Division of Systems Informatics, Department of Systems Science, Graduate School of Informatics, Kyoto University Junichi Hata Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Division of Regenerative Medicine, Jikei University School of Medicine Hideyuki Okano 0000-0001-7482-5935 Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine Shin Ishii Integrated Systems Biology Laboratory (Ishii Laboratory), Division of Systems Informatics, Department of Systems Science, Graduate School of Informatics, Kyoto University Yoko Yamaguchi Applied Electronics Laboratory, Kanazawa Institute of Technology Graduate School of Information Science and Technology, The University Tokyo Laboratory for Cognitive Brain Mapping, RIKEN Center for Brain Science 1 NIfTI-1 en 580.52 MB Creative Commons Attribution 4.0 International (CC BY 4.0) This atlas is composed of a population average ex-vivo MRI T2WI contrast mapped with the [BMA 2017 Ex Vivo](https://dataportal.brainminds.jp/reference-atlas-data/) (published by Woodward et al. _[The Brain/MINDS 3D digital marmoset brain atlas](https://www.nature.com/articles/sdata20189)_). <br/>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. <br/>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](https://www.humanconnectome.org/software/connectome-workbench) (version 1.5.0 and higher) and a Scene file is also provided for easy viewing of the data. Japan Agency for Medical Research and Development (AMED) https://doi.org/10.13039/100009619