The goal of this subproject is to generate strategic multi-level data on human brains that parallels the data collected for mouse, and facilitates the use of mouse data to predict human data.


The human data to be generated complements data that already exists and amounts to a small fraction of the data required to model the human brain. However, it will be sufficient to derive general principles describing the structural organisation of the human brain—allowing predictive reconstruction of human brain models.

During the Ramp-Up Phase, SP2 focused on providing a spatial reference system of the human brain incorporating regionally specific cellular numbers, major connectivity constraints, distributions of transmitter receptors, and on establishing the key pathways between brain regions. The data, which is contributed to the HBP Human Brain Atlas, will make it possible to construct simplified brain models and lay the foundations for age-dependent models of the human brain.

In SGA1, SP2 will work on the following areas:

  • Establishing protocols for post mortem connectomics and multi-level architecture;
  • Recruiting participants and receiving ethical approval for in vivo connectomics and functional neuroimaging;
  • Generating initial dataset for neuronal and glial cell compositions and genetic architecture;
  • Uploading initial data to the Human Brain Atlas on the Neuroinformatics Platform.

What People are Saying

  • It is harder to obtain data for the human brain than any other animal and therefore the aim of the Strategic Human Brain Data Subproject is to data from the human brain, to combine it with existing data from the scientific community and to link it to data obtained in other subprojects.

    Prof. Katrin Amunts, Institute of Neuroscience and Medicine, Forschungszentrum Jülich,
    leader of the Strategic Human Brain Data subproject