Title | ||
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Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities |
Abstract | ||
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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 |
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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 Chan | 1 | 17 | 2.22 |
Yong-Sheng Chen | 2 | 314 | 30.12 |
Li-Fen Chen | 3 | 39 | 7.16 |
Tzu-Hua Chen | 4 | 1 | 0.36 |
I-Tzu Chen | 5 | 5 | 1.17 |