A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

• Published in: Scientific data Vol. 7; no. 1; p. 358
• Main Authors: Prasad, Judy A., Balwani, Aishwarya H., Johnson, Erik C., Miano, Joseph D., Sampathkumar, Vandana, De Andrade, Vincent, Fezzaa, Kamel, Du, Ming, Vescovi, Rafael, Jacobsen, Chris, Kording, Konrad P., Gürsoy, Doga, Gray Roncal, William, Kasthuri, Narayanan, Dyer, Eva L.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.10.2020; Nature Publishing Group
• Subjects: 60 APPLIED LIFE SCIENCES; 631/378/116/2394; 631/378/3920; Animals; Brain - anatomy & histology; Brain - diagnostic imaging; brain imaging; Brain Mapping; Computed tomography; Data Descriptor; Datasets; Humanities and Social Sciences; Imaging, Three-Dimensional; Mice; multidisciplinary; neural circuits; neural decoding; neurobiology; Neuroimaging; Science; Science (multidisciplinary); Thalamus; X-Ray Microtomography
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-020-00692-y

Neural microarchitecture 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 from the mouse brain . In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure. Measurement(s) brain measurement Technology Type(s) micro-computed tomography Factor Type(s) brain region Sample Characteristic - Organism Mus musculus Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13005527