標題: Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities
作者: Chan, Huiling
Chen, Yong-Sheng
Chey, Li-Fen
Chen, Tzu-Hua
Chen, I-Tzu
資訊工程學系
Department of Computer Science
公開日期: 2009
摘要: Magnetoencephalography and electroencephalography are non-invasive instruments that can record magnetic fields and scalp potentials, respectively, induced from neuronal activities. The recordings are, superimposed signals contributed from the whole brain. Independent component analysis (ICA) can provide a way of decomposition by maximizing, the mutual independence of separated components. Beyond the temporal profile and topography provided by ICA, this work aims to estimate and map the cortical source distribution for each component. The proposed method first constructs a source space using lead field vectors for vertices on the cortical surface. By projecting the specified components to this source space, our method provides the corresponding spatiotemporal maps for these independent brain activities. Experiments using simulated brain activities clearly demonstrate the effectiveness and accuracy of the proposed method.
URI: http://hdl.handle.net/11536/15885
ISBN: 978-3-642-01512-0
ISSN: 0302-9743
期刊: ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS
Volume: 5553
起始頁: 512
結束頁: 519
顯示於類別:會議論文