Exploratory Analysis and Data Modeling in Functional Neuroimaging

✍ Scribed by Friedrich T. Sommer, Andrzej Wichert (eds.)

• Publisher: A Bradford Book, The MIT Press
• Year: 2003
• Tongue: English
• Leaves: 312
• Category: Library

✦ Table of Contents

Exploratory Analysis and Data Modeling in Functional Neuroimaging
Contents
Series Foreword
Foreword
Preface
1 Theories, Data Analysis, and Simulation Models in Neuroimaging-An Overview
I fMRI Data Analysis and Experimental Designs
2 Exploratory Analysis of fMRI Data by Fuzzy Clustering-Philosophy, Strategy, Tactics, Implementation
3 Testing Competing Hypotheses about Single Trial fMRI
4 Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging
5 Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study
6 Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks
II EGM/MEG Data Analysis
7 Independent Components of Magneto-encephalography: Localization
8 Blind Decomposition of Multimodal Evoked Responses and DC Fields
III Combination EEG/MEG and fMRI
9 Having Your Voxels and Timing Them Too?
10 Recording of Evoked Potentials during Functional MRI
IV Models Integrating Neurophysiology and Functional Imaging
11 Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
12 The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments
13 Large-Scale Networks in Learning Analyzed with Partial Least Squares
Index