DocumentCode :
527532
Title :
PP-PCA eigenvalues analysis of cerebral cortex local field potentials
Author :
Li, Shuangyan ; Xu, Xinyu ; Tian, Xin
Author_Institution :
Res. Centre of Basic Med., Tianjin Med. Univ. Tianjin Inst. of Neurology, Tianjin, China
Volume :
1
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
490
Lastpage :
494
Abstract :
In this article, the main eigenvalues of the non-linear method of principle component analysis based on projection pursuit (PP-PCA) are used to analyze the multi-channels local field potentials (LFPs) in rat prefrontal cortex under the different states during Propofol anesthesia, and the results of PP-PCA and linear principal component analysis (PCA) are compared. The principles of 16-channels LFPs data are calculated with 100-ms window sliding and 40% overlap. Meanwhile, the changes of the PP-PCA eigenvalues during the states of wake and anesthesia are applied to analyzing. The result shows that, the first eigenvalues of PP-PCA are much larger than the others both during the periods of wake and anesthesia, whereas during anesthesia, the eigenvalues´ values decrease rapidly, by contrast, they are characterized by a slower reducing during waking time. These prove that the method of PP-PCA effectively represents the characterization of better synchronization in LFPs during anesthesia.
Keywords :
bioelectric potentials; biomedical electrodes; brain; eigenvalues and eigenfunctions; medical signal processing; microelectrodes; principal component analysis; PP-PCA eigenvalues analysis; cerebral cortex; microelectrode arrays; multichannel local field potentials; nonlinear method; principle component analysis based on projection pursuit; rat prefrontal cortex; synchronization; Anesthesia; Biomedical imaging; Eigenvalues and eigenfunctions; Indexes; Oscillators; Principal component analysis; Synchronization; Anesthesia; Eigenvalues; LFPs; PP-PCA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583147
Filename :
5583147
Link To Document :
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