Computing Brain Activity Maps from fMRI Time-Series Images 通过功能性核磁共振时序造影计算大脑活动图谱

书籍目录

Preface1 Introduction  1.1  Overview of fMRI technique  1.2  Overview of fMRI time-series data processing  1.3 Mathematical conventions  1.4  Note on software availability2 Image preprocessing　2.1  EPI ghost artifact reduction　2.2  Geometric distortion correction　2.3  Image alignment and head motion　2.4  Physiological artifact and noise removal　2.5  Anatomical transformations to standard brain spaces　2.6  Attitudes towards preprocessing3 Experimental designs　3.1  Blocked designs　3.2  Event-related designs　3.3  The influence of MRI physics on fMRI experiment design4 Univariate approaches: activation maps　4.1  The GLM - univariate approaches　4.2  Modeling the physiology of the hemodynamic response　4.3  Other parametric methods　4.4  Bayesian methods　4.5  Nonparametric methods　4.6  Fourier methods　4.7  Repeatability and comparisons of methods　4.8  Real time fMRI and complementary methods5 Multivariate approaches: connectivity maps　5.1  The GLM - multivariate approaches　5.2  Principal and independent component methods　5.3  Wavelet methods　5.4  Clustering methods　5.5  Functional connectivity　5.6  Effective connectivity6 ConclusionReferencesIndexThe color plates are situated between pages 38 and 39

作者简介

fMRI is a very popular method for researchers and clinicians to image human brain activity in response to given mental tasks. This book presents a comprehensive review of the methods for computing activity maps, while providing an intuitive and mathematical outline of how each method works. The approaches include statistical parametric maps (SPM), hemodynamic response modeling and deconvolution, Bayesian, Fourier and nonparametric methods. The newest activity maps provide information on regional connectivity and include principal and independent component analysis, crisp and fuzzy clustering, structural equation modeling, and dynamic causal modeling. Preprocessing and experimental design issues are discussed with references made to the software available for implementing the various methods. Aimed at graduate students and researchers, it will appeal to anyone with an interest in fMRI and who is looking to expand their perspectives of this technique.

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