Biology:eConnectome
eConnectome (Electrophysiological Connectome) is an open-source MATLAB toolbox with graphical user interfaces for mapping and imaging brain functional connectivity at both the scalp and cortical levels from electrophysiological signals including electroencephalogram (EEG) and electrocorticogram (ECoG).[1] Major functions of the eConnectome include EEG/ECoG preprocessing, scalp/cortical potential mapping, cortical source estimation, connectivity analysis and visualization. Granger causality measures including Directed Transfer Function (DTF) and Adaptive Directed Transfer Function (ADTF) can be used to estimate the directional interactions of brain functional networks. The toolbox package is freely available at http://econnectome.umn.edu under the GNU general public license for noncommercial and academic uses.
History
eConnectome is developed by the Biomedical Functional Imaging and Neuroengineering Laboratory at the University of Minnesota, directed by Dr. Bin He. The visualization module is jointly developed with Drs. Fabio Babiloni and Laura Astolfi at the University of Rome "La Sapienza". The first beta version of the eConnectome was released on March 12, 2010, and the first full version (V 1.0) of the eConnectome was released on August 19, 2010.[2] There have been more than 500 downloads till now.
References
- ↑ B. He, Y. Dai, L. Astolfi, F. Babiloni, L. Yang, H. Yuan. eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity. Journal of Neuroscience Methods. 195(2):261-269, 2011.
- ↑ http://econnectome.umn.edu/