A three-dimensional thalamocortical dataset for characterizing brain heterogeneity
Neural cytoarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to c...
Saved in:
Published in | bioRxiv |
---|---|
Main Authors | , , , , , , , , , , , , , , |
Format | Paper |
Language | English |
Published |
Cold Spring Harbor
Cold Spring Harbor Laboratory Press
25.05.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Neural cytoarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures. In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure. Competing Interest Statement The authors have declared no competing interest. Footnotes * http://bossdb.org/project/prasad2020 * http://nerdslab.github.io/xray-thc * https://figshare.com/articles/A_three-dimensional_thalamocortical_dataset_for_characterizing_brain_heterogeneity_X-ray_microCT_images_Tiff_/12153573 * https://figshare.com/articles/A_three-dimensional_thalamocortical_dataset_for_characterizing_brain_heterogeneity_Microstructure_Annotations_NumPy_/12153516 * https://figshare.com/articles/A_three-dimensional_thalamocortical_dataset_for_characterizing_brain_heterogeneity_Region_of_Interest_Annotations_Nrrd_/12153549 |
---|---|
DOI: | 10.1101/2020.05.22.111617 |