NeuroData's Graph DataBase

Lowering the barrier to entry for scalable neuroscience

Build a fiber tractography streamline graph

Please complete the form below, upload data derivatives files and optionally select any invariants to be computed.

You must supply an Email address for big graph processing so as to receive the job completion email with result url.
The format of the fiber file is MRI Studio and the format of the atlas file must be NIFTI.

Graphs may also be built programmatically

The base url for building graphs is

The example can be used as follows from a terminal session:

python \ \
FIBER.dat -a ATLAS.nii -i cc tri ss1 mad deg eig

The parameter directly after SCAN_ID can either be s or b. The -a atlas is optional. If not selected the Desikan atlas is used by default. Using s or small builds a small graph 70 vertices while b or big builds a big graph on the order of 100 milion vertices.
The particular invocation above would build a small graph and compute all invariants currently available. A list of invariant contractions is available below. The result of is either an error or success message. Simply wait for an email response with the download url. We recommend starting a tmux or screen session in case your upload time is lengthy.

The optional arguments given as -i are simply appended to the final url in The options available must be in a comma separated list and are as follows:

Specifications for graphs built

What's the difference between big and small graphs?

The terms big/small graph are particularly relevant to fiber streamline graphs.
Small graphs have 70 vertices and up to thousands of edges, whereas
Big graphs can be in the millions of vertices and 100s of millions of edges.