Introduction
The brain connectivity toolbox provides access to a large selection of complex network measures in Matlab. Such measures aim to characterize brain connectivity by neurobiologically meaningful statistics, and are increasingly used in the description of structural and functional connectivity datasets. Several people have made
contributions to the toolbox and if you wish to contribute yourself
with a new function or set of functions, please contact Olaf Sporns.
All efforts have been made to avoid errors, but users are strongly
urged to independently verify the accuracy of these functions, and to
ascertain that their use is appropriate for the chosen application.
Please report bugs or substantial improvements to Olaf Sporns or to
Mika Rubinov.
Contributors
Citing the toolbox Rubinov M, Sporns O (2010) NeuroImage 52:1059-69. Complex network measures of brain connectivity: Uses and interpretations. Web address: http://www.brain-connectivity-toolbox.net Do you wish to apply network measures to time series data? Before using our toolbox, you should convert these data into networks. For details, see the Matlab toolbox for functional connectivity. Download all functions: BCT.zip The toolbox is continually updated -- see the All functions page for date of last update. |