Nature CommunicationsNeurosciencePeer-reviewed journal article
The ANTsX Ecosystem for Mapping the Mouse Brain
Nicholas James TustisoniD, Min CheniD, Fae N. KronmaniD, Jeffrey DudaiD, Clare Ruth GamliniD, Mia G. Tustison, Michael KunstiD, Rachel A. DalleyiD, Staci A. SorenseniD, Quanxin WangiD, Lydia NgiD, Yongsoo KimiD, James C. GeeiD
Abstract
Precision mapping techniques coupled with high resolution image acquisition of the mouse brain permit the study of the spatial organization of gene expression and their mutual interaction for a comprehensive view of salient structural/functional relationships. Such research is facilitated by standardized anatomical coordinate systems, such as the well-known Allen Common Coordinate Framework (AllenCCFv3), and the ability to spatially map to such standardized spaces. The Advanced Normalization Tools Ecosystem is a comprehensive open-source software toolkit for generalized quantitative imaging with applicability to multiple organ systems, modalities, and animal species. Herein, we illustrate the utility of ANTsX for generating precision spatial mappings of the mouse brain and potential subsequent quantitation. We describe ANTsX-based workflows for mapping domain-specific image data to AllenCCFv3 accounting for common artefacts and other confounds. Novel contributions include ANTsX functionality for velocity flow-based mapping spanning the spatiotemporal domain of a longitudinal trajectory which we apply to the Developmental Common Coordinate Framework. Additionally, we present an automated structural morphological pipeline for determining volumetric and cortical thickness measurements analogous to the well-utilized ANTsX pipeline for human neuroanatomical structural morphology which illustrates a general open-source framework for tailored brain parcellations.
- organism: mouse
- assay: imaging
- research focus: spatial domain detection
- research focus: dimensionality reduction
- approach: statistical model
- approach: experimental assay
- Citations
- 7
- FWCI
- 2.11
- Field percentile
- top 12%
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