Exploratory Analysis and Data Modeling in Functional Neuroimaging (Hardcover)

Friedrich T. Sommer, Andrzej Wichert

  • 出版商: The MIT Press
  • 出版日期: 2002-12-02
  • 定價: $1,500
  • 售價: 2.7$399
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover
  • ISBN: 0262194813
  • ISBN-13: 9780262194815

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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.

Friedrich T. Sommer is Scientist at the Redwood Neuroscience Institute, Menlo Park, CA.

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Table of Contents:

Series Foreword vii
Foreword
Manfred Spitzer
ix
Preface xiii
1. Theories, Data Analysis, and Simulation Models in Neuroimaging--An Overview
Friedrich T. Sommer, Judith A. Hirsch and Andrzej Wichert
1
I. fMRI Data Analysis and Experimental Design 15
2. Exploratory Analysis of fMRI Data by Fuzzy Clustering--Philosophy, Strategy, Tactics, Implementation
Ray Somorjai and Mark Jarmasz
17
3. Testing Competing Hypotheses about Single Trial fMRI
Lars Kai Hansen, Archana Purushotham and Seong-Gi Kim
49
4. Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging
Martin J. McKeown
63
5. Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study
Andrzej Wichert, Henrik Walter, Jo Grothe, Birgit Abler and Friedrich T. Sommer
77
6. Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks
Andreas S. Tolias, Zoe Kourtzi and Nikos K. Logothetis
109
II. EGM/MEG Data Analysis 127
7. Independent Components of Magnetoencephalography: Localization
Akaysha C. Tang and Barak A. Pearlmutter
129
8. Blind Decomposition of Multimodal Evoked Responses and DC Fields
Ricardo Vigário, Andreas Ziehe, Matthias M. Müller, Gerd Wübbeler, Lutz Trahms, Bruno-Marcel Mackert, Gabriel Curio, Veikko Jousmäki, Jaakko Särelä and Erkki Oja
163
III. Combination EEG/MEG and fMRI 193
9. Having Your Voxels and Timing Them Too?
Scott Makeig, Tzyy-Ping Jung and Terrence J. Sejnowski
195
10. Recording of Evoked Potentials during Functional MRI
Frithjof Kruggel and Christoph S. Herrmann
209
IV. Models Integrating Neurophysiology and Functional Imaging 229
11. Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
Michael A. Arbib, Andrew H. Fagg and Scott T. Grafton
231
12. The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments
M-A. Tagamets and Barry Horwitz
251
13. Large-Scale Networks in Learning Analyzed with Partial Least Squares
Hemanth P. Nair and Francisco Gonzalez-Lima
273
Index 295