Group inference and reporting of neuroimaging studies require that individual's features are spatially aligned into a common frame where their location can be called standard (Brett et al., 2002). To that end, a multiplicity of brain templates with anatomical annotations (i.e. atlases) have been published (Dickie et al., 2017). However, a centralized resource that allows programmatic access to templates is lacking. TemplateFlow is a modular, version-controlled resource that allows researchers to use templates "off-the-shelf" and share new ones.
|The 7 templates highlighted in blue are constituents of the Montreal Neurological Institute (MNI) portfolio. The Waxholm space (
Please head over to our TemplateFlow Archive browser.
Bird's view over TemplateFlow¶
|TemplateFlow implements the FAIR guiding principles. The TemplateFlow Archive can be accessed at a “low” level with DataLad, or at a “high” level with a Python client. New resources can be added through the TemplateFlow Manager Command Line Interface, which initiates a peer-review process before acceptance in the Archive.|