@inproceedings{40d5e2e90f764c8a8ba7d4803a4649c5,
title = "Beamformer-based imaging of phase-amplitude coupling using electromagnetic brain activity",
abstract = "Phase-amplitude coupling (PAC) between neural oscillations of different frequencies plays a crucial role in cognitive processing. Assessing the PAC at both sensor and source levels may encounter the problem of spurious coupling because of the volume conduction, field spread, and source leakage. This paper presents a novel method, beamformer-based imaging of PAC (BIPAC), to estimate PAC between sources from electromagnetic signals. For each targeted brain region, this method can extract the source component with the maximum PAC to the reference signal. The results from two simulated MEG data sets demonstrated that the proposed method can achieve high localization accuracy and low spurious coupling.",
author = "Chan, {Hui Ling} and Chen, {Yong Sheng} and Chen, {Li Fen} and Sylvain Baillet",
year = "2015",
month = nov,
day = "4",
doi = "10.1109/EMBC.2015.7320141",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7558--7561",
booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015",
address = "United States",
note = "null ; Conference date: 25-08-2015 Through 29-08-2015",
}