Sommer F.T., Wichert A., Spitzer M. Exploratory Analysis and Data Modeling in Functional Neuroimaging (Neural Information Processing)

Cambridge, MIT Press, 2003. — 299p.Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram), and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book provides a survey of theoretical and computational approaches to neuroimaging, including inferential, exploratory, and causal methods of data analysis; theories of cerebral function; and biophysical and computational models of neural nets. It also emphasizes the close relationships between different approaches, for example, between causal data analysis and biophysical modeling, and between functional theories and computational models.Series Foreword
ForewordTheories, Data Analysis, and Simulation Models in Neuroimaging - An Overview
fMRI Data Analysis and Experimental Designs
Exploratory Analysis of fMRI Data by Fuzzy Clustering - Philosophy, Strategy, Tactics, Implementation
Testing Competing Hypotheses about Single Trial fMRI
Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging
Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study
Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks
EGM/MEG Data Analysis
Independent Components of Magnetoencephalography: Localization
Blind Decomposition of Multimodal Evoked Responses and DC Fields
Combination EEG/MEG and fMRI
Having Your Voxels and Timing Them Too?
Recording of Evoked Potentials during Functional MRI
Models Integrating Neurophysiology and Functional Imaging
Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments
Large-Scale Networks in Learning Analyzed with Partial Least Squares