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bigbrain.json 41.22 KiB
{
  "name": "Big Brain (Histology)",
  "@id": "minds/core/referencespace/v1.0.0/a1655b99-82f1-420f-a3c2-fe80fd4c8588",
  "fullId": "minds/core/referencespace/v1.0.0/a1655b99-82f1-420f-a3c2-fe80fd4c8588",
  "type": "template",
  "species": "Human",
  "useTheme": "light",
  "ngId": " grey value: ",
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  "nehubaConfigURL": "nehubaConfig/bigbrainNehubaConfig",
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      "name": "Cytoarchitectonic Maps - v2.4",
      "displayName": "Cytoarchitectonic Maps",
      "properties": {
        "name": "Cytoarchitectonic Maps",
        "description": "This dataset contains cytoarchitectonic maps of brain regions in the BigBrain space [Amunts et al. 2013]. The mappings were created using the semi-automatic method presented in Schleicher et al. 1999, based on coronal histological sections on 1 micron resolution. Mappings are available on approximately every 100th section for each region. They were then transformed to the sections of the 3D reconstructed BigBrain space using the transformations used in Amunts et al. 2013, which were provided by Claude Lepage (McGill). Only a few cytoarchitectonic maps in the Big Brain are currently **fully mapped**, based on a workflow that automatically fills in missing sections based on expert annotations. Other 3D maps are available in a preliminary version, in which the expert annotations in the Big Brain space were simply **interpolated**."
      },
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          "name": "telencephalon",
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              "name": "cerebral cortex",
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                      "name": "superior frontal sulcus",
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                      "name": "inferior frontal sulcus",
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                {
                  "name": "limbic lobe",
                  "children": [
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                      "name": "hippocampal formation",
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                          "name": "Entorhinal Cortex",
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                {
                  "name": "parietal lobe",
                  "children": [
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                          "name": "dorsal occipital cortex",
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                          "name": "lateral occipital cortex",
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                {
                  "name": "diencephalon",
                  "children": [
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                          "name": "thalamus",
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                              "name": "metathalamus",
                              "children": [
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                                      "name": "LGB-lam1 (CGL, Metathalamus)",
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                            {
                              "name": "metathalamus",
                              "children": [
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                                  "name": "lateral geniculate body",
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                            {
                              "name": "metathalamus",
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                            {
                              "name": "metathalamus",
                              "children": [
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                                  "name": "lateral geniculate body",
                                  "children": [
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                                      "name": "LGB-lam4 (CGL, Metathalamus)",
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                                      "status": "fully mapped",
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                            {
                              "name": "metathalamus",
                              "children": [
                                {
                                  "name": "lateral geniculate body",
                                  "children": [
                                    {
                                      "name": "LGB-lam5 (CGL, Metathalamus)",
                                      "ngId": "LGB-lam5",
                                      "status": "fully mapped",
                                      "labelIndex": 1,
                                      "position": [],
                                      "children": [],
                                      "fullId": {
                                        "kg": {
                                          "kgSchema": "minds/core/parcellationregion/v1.0.0",
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                            {
                              "name": "metathalamus",
                              "children": [
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                                  "name": "lateral geniculate body",
                                  "children": [
                                    {
                                      "name": "LGB-lam6 (CGL, Metathalamus)",
                                      "ngId": "LGB-lam6",
                                      "status": "fully mapped",
                                      "labelIndex": 1,
                                      "position": [],
                                      "children": [],
                                      "fullId": {
                                        "kg": {
                                          "kgSchema": "minds/core/parcellationregion/v1.0.0",
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                      ]
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                  ]
                }
              ]
            }
          ]
        }
      ]
    },
    {
      "@id": "juelich/iav/atlas/v1.0.0/3",
      "name": "Cortical Layers Segmentation",
      "displayName": "Cortical layers",
      "ngId": "cortical layers",
      "originDatasets": [
        {
          "kgSchema": "minds/core/dataset/v1.0.0",
          "kgId": "13e6ec48-4fec-4e9a-9bcf-45036d3c8ef9"
        }
      ],
      "properties": {
        "name": "Cortical Layers Segmentation",
        "description": "The cerebral isocortex has six cytoarchitectonic layers that vary depending on cortical area and local morphology. This datasets provides a 3D segmentation of all cortical and laminar surfaces in the BigBrain, a high-resolution, 3D histological model of the human brain. The segmentation has been computed automatically based on histological intensities along 3D cortical profiles which were sampled between the pial and white matter throughout the dataset. These cortical profiles were segmented into layers using a convolutional neural network. Training profiles were generated from examples of manually segmented layers on cortical regions from 2D histological sections of the BigBrain. From the segmented intensity profiles, surface meshes and voxel masks of all six cortical layers in the space of the Big Brain have been computed.",
        "publications": [
          {
            "doi": "https://doi.org/10.1101/580597",
            "cite": "Konrad Wagstyl, Stéphanie Larocque, Guillem Cucurull, Claude Lepage, Joseph Paul Cohen, Sebastian Bludau, Nicola Palomero-Gallagher, Thomas Funck, Hannah Spitzer, Timo Dicksheid, Paul C Fletcher, Adriana Romero, Karl Zilles, Katrin Amunts, Yoshua Bengio, Alan C. Evans (2019) Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients in sensory and motor cortices. bioRxiv 580597; doi: https://doi.org/10.1101/580597"
          }
        ]
      },
      "regions": [
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          "name": "telencephalon",
          "children": [
            {
              "name": "cortical layer 1",
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              "rgb": [
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              "children": []
            },
            {
              "name": "cortical layer 2",
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              "rgb": [
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              ],
              "children": []
            },
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              "rgb": [
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              ],
              "children": []
            },
            {
              "name": "cortical layer 4",
              "labelIndex": 4,
              "rgb": [
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              "children": []
            },
            {
              "name": "cortical layer 5",
              "labelIndex": 5,
              "rgb": [
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              ],
              "children": []
            },
            {
              "name": "cortical layer 6",
              "labelIndex": 6,
              "rgb": [
                230,
                190,
                255
              ],
              "children": []
            },
            {
              "name": "Non-isocortical structures",
              "labelIndex": 7,
              "rgb": [
                255,
                255,
                255
              ],
              "children": []
            }
          ]
        }
      ]
    },
    {
      "@id": "juelich/iav/atlas/v1.0.0/4",
      "name": "Grey/White matter",
      "displayName": "Isocortex",
      "type": "parcellation",
      "ngData": null,
      "ngId": " tissue type: ",
      "regions": [
        {
          "name": "Isocortex",
          "labelIndex": 100,
          "rgb": [
            200,
            200,
            200
          ],
          "children": []
        },
        {
          "name": "Non-isocortical structures",
          "labelIndex": 200,
          "rgb": [
            255,
            255,
            255
          ],
          "children": []
        }
      ]
    }
  ],
  "properties": {
    "name": "Big Brain (Histology)",
    "description": "A microscopic resolution 3D model of a complete human brain, based on a 3D reconstruction from 7404 digitized histological brain sections (Amunts, Evans et al., Science 2013). The BigBrain model provides a highly detailed anatomical reference space which resolves individual cortical layers and large cell bodies. Maps of cytoarchitectonic areas (Amunts et al.) and cortical layers (Wagstyl et al.) are available.",
    "publications": [
      {
        "doi": "10.1126/science.1235381",
        "cite": "K. Amunts, A. Evans et al.: BigBrain: An Ultrahigh-Resolution 3D Human Brain Model. Science 2013"
      },
      {
        "doi": "http://bigbrain.loris.ca",
        "cite": "http://bigbrain.loris.ca"
      }
    ]
  }
}