A three-dimensional thalamocortical dataset for characterizing brain heterogeneity.

Autor: Prasad JA; Department of Neurobiology, University of Chicago, Chicago, IL, USA., Balwani AH; School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA., Johnson EC; Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA., Miano JD; College of Computing, Georgia Institute of Technology, Atlanta, GA, USA., Sampathkumar V; Department of Neurobiology, University of Chicago, Chicago, IL, USA., De Andrade V; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA., Fezzaa K; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA., Du M; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA., Vescovi R; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA., Jacobsen C; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA.; Department of Physics & Astronomy, Northwestern University, Evanston, IL, USA., Kording KP; Department of Biomedical Engineering, University of Pennsylvania, Philadelpha, PA, USA., Gürsoy D; Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA., Gray Roncal W; Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA., Kasthuri N; Department of Neurobiology, University of Chicago, Chicago, IL, USA., Dyer EL; School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. evadyer@gatech.edu.; Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. evadyer@gatech.edu.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2020 Oct 20; Vol. 7 (1), pp. 358. Date of Electronic Publication: 2020 Oct 20.
DOI: 10.1038/s41597-020-00692-y
Abstrakt: 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.
Databáze: MEDLINE