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Author: Hui-Ling Chan (Email: hlchan@cs.nctu.edu.tw)
BIPAC has been published in IEEE EMBC 2015 [1] and the paper was awarded as the open finalist of student paper competition. It is a seed-based imaging method to estimate the phase-amplitude coupling (PAC) between seed activity and the activity of other regions. The program of BIPAC from has been written as a plug-in of the Matlab Software Brainstorm. Please download the program of BIPAC from Github: https://github.com/Hui-Ling/BeamformerSourceImaging. The .m files should be placed in the following folder: $HOME\.brainstorm\process.
The MEG data used in this tutorial was acquired by Elekta Neuromag Vector View 306 Channel MEG during a self-paced finger lifting experiment, which has been used to demonstrate the accuracy of maximum contrast beamformer (MCB) [2]. The anatomy data used in this tutorial is the MRI template Colin27, which is built in Brainstorm. To load the example data into Brainstorm, select File > Load from zip file
[1] Chan, H.-L., Y.-S. Chen, L.-F. Chen, and S. Baillet (2015b), 'Beamformer-based imaging of phase-amplitude coupling using electromagnetic brain activity', 37th Conf. Proc. IEEE Eng. Med. Biol. Soc. (Milan, Italy), 7558-61.
[2] Chen, Y.-S., C.-Y. Cheng, J.-C. Hsieh, and L.-F. Chen (2006), 'Maximum contrast beamformer for electromagnetic mapping of brain activity', IEEE Trans. Biomed., 53 (9), 1765-74.