TY - JOUR

T1 - Mathematical principles of SPM and its applications to the functional neuroimages

AU - Tang, Huanwen

AU - Pan, Lili

AU - Tang, Yiyuan

N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.

PY - 2005/9

Y1 - 2005/9

N2 - SPM (Statistical Parametric Mapping) method refers to the construction and assessment of spatially extended statistical process used to test hypotheses about specific cerebral area effects. SPM, which is the software for analysis of neruoimage data, is generally used to identify functional specialized brain responses and is the most prevalent approach to characterizing functional anatomy and disease-related changes. In this essay, the mathematical principles of SPM are discussed and the method that constructed statistical parametric maps using general linear model is given. To accommodate fMRI (functional Magnetic Resonance Imaging) data analysis, we extend GLM and induce the test statistics and degree of freedom. At last, the extended GLM is applied to a real fMRI experiment, which shows that the method is effective.

AB - SPM (Statistical Parametric Mapping) method refers to the construction and assessment of spatially extended statistical process used to test hypotheses about specific cerebral area effects. SPM, which is the software for analysis of neruoimage data, is generally used to identify functional specialized brain responses and is the most prevalent approach to characterizing functional anatomy and disease-related changes. In this essay, the mathematical principles of SPM are discussed and the method that constructed statistical parametric maps using general linear model is given. To accommodate fMRI (functional Magnetic Resonance Imaging) data analysis, we extend GLM and induce the test statistics and degree of freedom. At last, the extended GLM is applied to a real fMRI experiment, which shows that the method is effective.

KW - Functional magnetic resonance imaging (fMRI)

KW - General linear models

KW - Regression analysis

KW - SPM

UR - http://www.scopus.com/inward/record.url?scp=27744596716&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:27744596716

VL - 13

SP - 223

EP - 231

JO - Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering

JF - Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering

SN - 1005-0930

IS - 3

ER -