Source-space Waveform Reconstruction for Coherent Brain Signals
In electro- or magneto-encephalographic muliti-channel measurements, signal-source space analysis is inevitable for brain functional-connectivity studies since the detector-space signals are mixed up with signal sources and they give fake correlation. However, many methods for the reconstruction of the source waveform such as beamforming techniques and MUSIC suffer from inaccurate source separation caused by power leaking between correlated sources. Such power leaking can be circumvented by suppressing correlated sources with linear constraints. In this study, I demonstrate such correlated source suppression can be used to preserve local phase information and the reconstructed source waveforms provide more accurate phase information for brain functional coherence and directivity analysis.
Kiwoong Kim
Korea Research Institute of Standards and Science (KRISS), Daejeon 305-340, Republic of KOREA
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-4
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）