Paper Info
Title
Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities
Abstract
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.
Year
DOI
Venue
2009
10.1007/978-3-642-01513-7_56
ISNN (3)
Keywords
Field
DocType
whole brain,cortical source distribution,lead field space projection,independent component analysis,cortical surface,source space,independent brain activities,separated component,independent brain activity,specified component,simulated brain activity,spatiotemporal imaging,magnetic field,neuronal activity,magnetoencephalography,electroencephalography
Vertex (geometry),Pattern recognition,Computer science,Independent component analysis,Artificial intelligence,Blind signal separation,Electroencephalography,Magnetoencephalography
Conference
Volume
ISSN
Citations 
5553
0302-9743
1
PageRank 
References 
Authors
0.36
7
5
Name
Order
Citations
PageRank
Hui-Ling Chan1172.22
Yong-Sheng Chen231430.12
Li-Fen Chen3397.16
Tzu-Hua Chen410.36
I-Tzu Chen551.17