Journal
NATURE METHODS
Volume 19, Issue 12, Pages 1568-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41592-022-01681-2
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Funding
- Laura and John Arnold Foundation
- National Institute of Biomedical Imaging and Bioengineering [R01EB020740, P41EB019936]
- National Institute of Mental Health [RF1MH121867, R24MH114705, R24MH117179, 1RF1MH121885]
- National Institute of Neurological Disorders and Stroke [U01NS103780]
- National Science Foundation [CRCNS 1912266]
- Wellcome Trust [209139/Z/17/Z]
- UK Medical Research Council [MR/N013700/1]
- King's College London
- Swiss National Science Foundation Ambizione project Uncovering the interplay of structure, function, and dynamics of brain connectivity using MRI [185872]
- Wellcome Trust [209139/Z/17/Z] Funding Source: Wellcome Trust
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This article introduces TemplateFlow as a publicly available framework for human and non-human brain models. It combines an open database with software to enable scientists to share their resources under FAIR principles, allowing multifaceted brain analyses.
Reference anatomies of the brain ('templates') and corresponding atlases are the foundation for reporting standardized neuroimaging results. Currently, there is no registry of templates and atlases; therefore, the redistribution of these resources occurs either bundled within existing software or in ad hoc ways such as downloads from institutional sites and general-purpose data repositories. We introduce TemplateFlow as a publicly available framework for human and non-human brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to share their resources under FAIR-findable, accessible, interoperable, and reusable-principles. TemplateFlow enables multifaceted insights into brains across species, and supports multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species.
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