標題: Beamformer-based Imaging of Phase-Amplitude Coupling using Electromagnetic Brain Activity
作者: Chan, Hui-Ling
Chen, Yong-Sheng
Chen, Li-Fen
Baillet, Sylvain
資訊工程學系
Department of Computer Science
公開日期: 2015
摘要: 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.
URI: http://hdl.handle.net/11536/134346
ISBN: 978-1-4244-9270-1
ISSN: 1557-170X
期刊: 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 7558
結束頁: 7561
Appears in Collections:Conferences Paper