• Corpus ID: 246276080

Automated brain parcellation rendering and visualization in R with coldcuts

@inproceedings{DAgostino2022AutomatedBP,
  title={Automated brain parcellation rendering and visualization in R with coldcuts},
  author={Giuseppe D’Agostino and Sarah Raye Langley},
  year={2022}
}
Parcellations are fundamental tools in neuroanatomy, allowing researchers to place functional imaging and molecular data within a structural context in the brain. Visualizing these parcellations is critical to guide biological understanding of clinical and experimental datasets in humans and model organisms. However, software used to visualize parcellations is different from the one used to analyze these datasets, greatly limiting the visualization of experimental data within parcellations. We… 

References

SHOWING 1-10 OF 21 REFERENCES

fsbrain: an R package for the visualization of structural neuroimaging data

Summary We introduce fsbrain, an R package for the visualization of neuroimaging data. The package can be used to visualize vertex-wise and region-wise morphometry data, parcellations, labels and

Imaging-based parcellations of the human brain

Various imaging-based strategies to parcellate the human brain are described, including those based on local properties, such as cytoarchitecture, and global properties,such as connectivity, which provide new opportunities for understanding brain organization and function.

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

The natverse is an easy-to-use environment for neuroscientists to solve complex, large-scale analysis challenges as well as an open platform to create new code and packages to share with the community.

Chimpanzee Brain Morphometry Utilizing Standardized MRI Preprocessing and Macroanatomical Annotations

This study uses structural MRI data from the National Chimpanzee Brain Resource to develop the chimpanzee brain reference template Juna, and introduces a ready-to-use image processing pipeline built upon the CAT12 toolbox in SPM12, implementing a standard human image preprocessing framework in chimpanzees.

Visualization of Brain Statistics With R Packages ggseg and ggseg3d

Two packages for the statistical software R that integrate the spatial dimension that is inherent in neuroimaging data are presented and facilitate parcellation-based visualizations in R, improve and facilitate the dissemination of results, and increase the efficiency of workflows.

A multi-modal parcellation of human cerebral cortex

Using multi-modal magnetic resonance images from the Human Connectome Project and an objective semi-automated neuroanatomical approach, 180 areas per hemisphere are delineated bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults.

cerebroViz: an R package for anatomical visualization of spatiotemporal brain data

Summary: Spatiotemporal transcriptomic profiling has provided valuable insight into the patterning of gene expression throughout the human brain from early fetal development to adulthood. When

Comprehensive cellular‐resolution atlas of the adult human brain

This is the first digital human brain atlas to incorporate neuroimaging, high‐resolution histology, and chemoarchitecture across a complete adult female brain, consisting of magnetic resonance imaging (MRI), diffusion‐weighted imaging (DWI), and 1,356 large‐format cellular resolution (1 µm/pixel) Nissl and immunohistochemistry anatomical plates.

Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

This work has expanded and refined existing algorithms for the subdivision of MRI datasets into anatomical structures, and used the normalized superimposed atlases to create a maximum probability map in stereotaxic space, which retains quantitative information regarding inter‐subject variability.