Lead field space projection for spatiotemporal imaging of independent brain activities

Huiling Chan, Yong-Sheng Chen, Li Fen Chen*, Tzu Hua Chen, I. Tzu Chen

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
頁面512-519
頁數8
版本PART 3
DOIs
出版狀態Published - 10 9月 2009
事件6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
持續時間: 26 5月 200929 5月 2009

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 3
5553 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference6th International Symposium on Neural Networks, ISNN 2009
國家/地區China
城市Wuhan
期間26/05/0929/05/09

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