(A) neighborhood method for statistical analysis of fMRI data = fMRI 데이터의 통계적 분석을 위한 이웃방법론

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In an effort to cope with the fact that functional magnetic resonance imaging (fMRI) data are spatio-temporally correlated, we propose a novel statistical method with a view to improve the detection of brain regions with increased neuronal activity in fMRI. In this method, we make use of information from neighboring voxels of a voxel, for estimation at the voxel. We examined performance of the method against the statistical parametric mapping(SPM) method using both simulated and real data. The proposed method is shown to be considerably better than the SPM in the context of Receiver Operating Characteristics (ROC) curves.
Advisors
Kim, Sung-Horesearcher김성호researcher
Description
한국과학기술원 : 수리과학과,
Publisher
한국과학기술원
Issue Date
2010
Identifier
455389/325007  / 020044516
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2010.08, [ vii, 63 p. ]

Keywords

Neighborhood Method; fMRI data; general linear model; probability and statistics; Statistical Analysis; 통계적 분석; 이웃방법론; 통계; 일반선형모형; 확률

URI
http://hdl.handle.net/10203/197749
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=455389&flag=dissertation
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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