The BigBrain Layer Segmentation dataset contains all layer segmentation files derived from the BigBrain dataset, a digitized reconstruction of high-resolution histological sections of the brain of a 65 years old man with no history of neurological or psychiatric diseases. The BigBrain dataset is the result of a collaborative effort between the teams of Dr. Katrin Amunts and Dr. Karl Zilles (Forschungszentrum Jülich) and Dr. Alan Evans (Montreal Neurological Institute). For more information please visit the BigBrain Project website [https://bigbrainproject.org] and the paper From Konrad Wagtyl on the layer segmentation [https://www.biorxiv.org/content/10.1101/580597v1] Creators: BigBrain project Licenses: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License Version: 1.0 Modalities: histology Formats: MINC, GIfTI, OBJ, STL, PNG Size: 10.4 GB Number of files: 15002 Number of Subjects: 1 Github Sources: https://bigbrainproject.org Primary Publications: BigBrain: an ultrahigh-resolution 3D human brain model.. . Science. Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients in sensory and...
Access is restricted by the data custodian. The collection's description and structure are public; the data is not available for querying through this network.
BigBrain dataset - Layer Segmentation (derived dataset) is published on Viral AI.