Analysis for functional MRI data based on improved convolution power spectrum - Details

Author：

Yang, Xiaojing (Yang, Xiaojing.) | Yang, Yang (Yang, Yang.) | Zhong, Ning (Zhong, Ning.)

Indexed by：

EI Scopus

Abstract：

According　to　the　Matched　Filtering　Principle,　propose　a　new　method　of　convolution　power　spectrum　(CPS)　to　detect　the　activity　of　brain　function.　Firstly,　calculate　the　fMRI　time　series　and　the　convolution　of　fMRI　image　signal　of　experimental　model.　Then　PSD　of　convolution　signal　is　used　to　quantitative　analysis　the　energy　changes　of　blood-oxygen-level　dependent　(BOLD)　signal.　To　compare　the　SPM　PS　SVM,　experimental　results　show　that　CPS　algorithm　is　effective　to　analysis　the　brain　active　information　about　fMRI　time　series.　©　Copyright　2016　American　Scientific　Publishers　All　rights　reserved.

Keyword：

Brain Support vector machines Power spectrum Time series analysis Time series Convolution Spectrum analysis Blood

Author Community：

[ 1 ] [Yang, Xiaojing]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Yang, Xiaojing]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
[ 3 ] [Yang, Xiaojing]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
[ 4 ] [Yang, Xiaojing]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan
[ 5 ] [Yang, Yang]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Yang, Yang]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
[ 7 ] [Yang, Yang]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
[ 8 ] [Yang, Yang]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan
[ 9 ] [Zhong, Ning]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
[ 10 ] [Zhong, Ning]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
[ 11 ] [Zhong, Ning]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
[ 12 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan

Reprint Author's Address：

[yang, xiaojing]institute of international wic, beijing university of technology, beijing; 100124, china;;[yang, xiaojing]beijing international collaboration base on brain informatics and wisdom, beijing; 100124, china;;[yang, xiaojing]department of life science and informatics, maebashi institution of technology, maebashi; 371-0816, japan;;[yang, xiaojing]beijing key laboratory of magnetic resonance imaging and brain informatics, beijing; 100124, china

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Source ：

Journal of Computational and Theoretical Nanoscience

ISSN： 1546-1955

Year： 2016

Issue： 8

Volume： 13

Page： 5524-5529

ESI Discipline： MATERIALS SCIENCE;

ESI HC Threshold：305

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 6

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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