Budapest Reference Connectome

Budapest Reference Connectome version 3.0 is a parameterizable consensus brain graph. We unified the connectomes of 477 people (computed from MRI datasets of the Human Connectome Project) into a reference brain graph, which can be downloaded and visualized using this site. Please see the manual and terms of use first.

Settings Show options Version 3.0
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Using Budapest Reference Connectome step by step

  1. Wait for the 3D brain model to load. This may take 10—20 seconds or more.
    • The connectome has 1015 nodes, but those corresponding to the same larger cerebral area are drawn at the same spot, for a cleaner view.
  2. Use your mouse to zoom and rotate. Click a node to reveal its neighbors. Click the background to see the whole graph again.
  3. Click Download graph to download the reference connectome as CSV or GraphML.
  4. For advanced options: if you want to create a customized connectome, please
    1. Click Show options (located above the model view) and set the values to customize the reference connectome.
    2. Set Minimum edge confidence to some percentage. Only those edges are displayed which are contained by at least the given percent of the source connectomes.
    3. Set Minimum edge weight and Weight calculation mode. Only those edges are displayed whose median (or mean) weight is at least the specified value. Edges are colored according to their weight: an edge with low weight is blue and an edges with high weight is red.
    4. Click Download graph to download your custom connectome.

CSV graph format

  • The first line of the CSV is a header line containing the field names.
  • Each of the following lines contains an edge.
  • The first four fields contain the indexes and names of the two connected regions of interest.
  • The next four fields contain the indexes and names of the parent regions in the 83-region atlas.
  • The last fields contain the number of containing graphs, then the mean and the median edge weight among those graphs which contain the specific edge.
  • The weight of an edge is calculated by the formula \( \frac{n}{L} \), where \( n \) is the number of tracks between the two regions, and \( L \) is the average length of those tracks.

Troubleshooting

  • Problem: The 3D brain model does not display, or the browser shows an error message.
    • Solution: Your browser does not support WebGL. If you have Chrome on Ubuntu, you may enable WebGL following these instructions.

More details and help

Terms of use

You can use this service only if you accept the following terms: We do not guarantee anything about this service: We do not state anything about the usability of this service, and we do not state that the results that we may return can be used for any purpose. We cannot guarantee that this service will be available in the future, and we cannot guarantee that your query would generate any output at all.

Privacy: We will not give out your data to anyone.

How to cite: If you publish anything using the output of Budapest Reference Connectome webserver, you are asked to cite the following publications, and you are also suggested to refer to the web address of our webservice:

Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz, The Budapest Reference Connectome Server v2.0, Neuroscience Letters, Vol. 595 (2015), Pages 60-62, http://dx.doi.org/10.1016/j.neulet.2015.03.071.

Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz, Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0, , Cognitive Neurodynamics, (2016), http://dx.doi.org/10.1007/s11571-016-9407-z.