brainconn Python library is a fork of
bctpy, which in turn is a Python implementation of the
BCT MATLAB toolbox.
bctpy was written by Roan LaPlante and is a wonderful tool. However, there were certain elements of the implementation that we wanted to change, so we chose to develop independently on a fork, which we renamed to
brainconn to allow separate releases on PyPi and the like.
brainconn implements graph theoretic measures in Python.
because it's coOoOoOoOol ;)
We eventually plan to publish
brainconn releases on Zenodo, which will make specific versions citable. Moreover, the algorithms employed in
brainconn (as well as the
BCT MATLAB toolbox) should also be cited when used. We use duecredit to make compiling and annotating these citations easier. If you use
brainconn, please make sure to run your code with
duecredit before publication to make sure you have a comprehensive list of the software and papers that should be cited. You can do this by running your Python script (e.g.,
run_brainconn.py) from the command line like so:
python -m duecredit run_brainconn.py.
bctpy has limited dependencies to these three packages,
brainconn is open to additional dependencies, as long as they are relatively stable and well-tested.
pytest is used for the test suite. The test suite is not complete.
bctpyand other authors
BCT is a matlab toolbox with many graph theoretical measures off of which
is based. I did not write BCT (apart from small bugfixes I have submitted)
and a quality of life improvements that I have taken liberties to add.
With few exceptions,
bctpy is a direct translation of matlab code to python.
bctpy should be considered beta software, with BCT being the gold standard by
comparison. I did my best to test all functionality in
bctpy, but much of it is
arcane math that flies over the head of this humble programmer. There are
bugs lurking in
bctpy, the question is not whether but how many. If you locate
bugs, please submit them to me at [email protected].
Many thanks to Stefan Fuertinger for his assistance tracking down a number of bugs. Stefan Fuertinger has a similar software package dealing with brain network functionality at http://research.mssm.edu/simonyanlab/analytical-tools/
Many thanks to Chris Barnes for his assistance in documenting a number of issues and facilitating a number of test cases.
Credit for writing BCT (the matlab version) goes to the following list of authors, especially Olaf Sporns and Mika Rubinov.
In order to be a bit more compact I have removed the accreditations from the docstrings each functions. This does not in any way mean that I wish to take credit from the individual contributions. I have moved these accreditations to the credits file.