> NMT v1.3 (NIMH Macaque Template - version 1.3) <
Authors
> Adam Messinger, Benjamin Jung, Jakob Seidlitz, Paul Taylor, Daniel Glen <
Description
> A volumetric template of the rhesus macaque created by nonlinear averaging of T1-weighted anatomical MRIs from multiple adult monkeys. Surface files are included. Version 1.3 updates include: an improved mapping of the D99 atlas, improved brain masking and normalization, and files that are defined in a common template space (NMT space), using the short data type for improved storage efficiency. <
> Volumetric files are in NIFTI (.nii) format, while surface files are in GIFTI (.gii) format. Scripts for processing single subjects rely on bash shell and AFNI. Some scripts also require ANTs. <
Publication
> Seidlitz, J., Sponheim, C., Glen, D., Ye, F.Q., Saleem, K.S., Leopold, D.A., Ungerleider, L., Messinger, A. A population MRI brain template and analysis tools for the macaque. NeuroImage 170:121-131 (2018). https://doi.org/10.1016/j.neuroimage.2017.04.063 <
Communication
> Through the GitHub repo or via email to Dr. Adam Messinger: Adam.Messinger@nih.gov <
[ ] Do NOT include this resource in periodic mailings about new resources on PRIME-RE
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pcklink
commented
4 years ago
Resource info table
Instructions
Please fill out the table above as completely as possible, i.e. replace the complete str
> .... <with your information. Then submit it as a new issue and tag the issue with all applicable (yellow) categorical tags to specify what type of resource you are contributing. We will use this table and these tags to add your resource to the main list.Name
Provide a name for your resource. Try to make it a bit descriptive, but as long as it as not incredibly offensive, we will allow it.
Authors
Who wrote the resource or deserves to be credited? This would be a good place to list them.
Description
Tell the community what it is that your resource does. Keep it concise (a few lines).
Documentation
Does your resource include instructions on how to use it, and if so, where? This can be a hyperlink, or you can simply state that it can be found through the main link (e.g., because it's in a GitHub ReadMe.md). Jupyter Notebooks or richly annotated scripts would be great, but any documentation would be great.
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