Exploratory Analysis and Data Modeling in Functional Neuroimaging,9780262194815

Exploratory Analysis and Data Modeling in Functional Neuroimaging

by
ISBN13: 9780262194815
ISBN10: 0262194813
Format: Hardcover
Pub. Date: 2002-12-02
Publisher(s): Mit Pr
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Summary

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.

Author Biography

Friedrich T. Sommer is Assistant Professor and Andrzej Wichert is Research Scientist in the Department of Neural Information Processing, Faculty of Computer Science, University of Ulm

Table of Contents

Series Foreword vii
Foreword ix
Manfred Spitzer
Preface xiii
Theories, Data Analysis, and Simulation Models in Neuroimaging---An Overview
1(14)
Friedrich T. Sommer
Judith A. Hirsch
Andrzej Wichert
I fMRI Data Analysis and Experimental Designs 15(112)
Exploratory Analysis of fMRI Data by Fuzzy Clustering---Philosophy, Strategy, Tactics, Implementation
17(32)
Ray L. Somorjai
Mark Jarmasz
Testing Competing Hypotheses about Single Trial fMRI
49(14)
Lars Kai Hansen
Archana Purushotham
Seong-Gi Kim
Deterministic and Stochastic Features of fMRI Data: Implications for Data Averaging
63(14)
Martin J. McKeown
Exploratory Analysis of Event-Related fMRI Demonstrated in a Working Memory Study
77(32)
Andrzej Wichert
Henrik Walter
Jo Grothe
Birgit Abler
Friedrich T. Sommer
Functional Magnetic Resonance Imaging Adaptation: A Technique for Studying the Properties of Neuronal Networks
109(18)
Andreas S. Tolias
Zoe Kourtzi
Nikos K. Logothetis
II EGM/MEG Data Analysis 127(66)
Independent Components of Magnetoencephalography: Localization
129(34)
Akaysha C. Tang
Barak A. Pearlmutter
Blind Decomposition of Multimodal Evoked Responses and DC Fields
163(30)
Ricardo Vigario
Andreas Ziehe
Klaus-Robert Muller
Gerd Wubbeler
Lutz Trahms
Bruno-Marcel Mackert
Gabriel Curio
Veikko Jousmaki
Jaakko Sarela
Erkki Oja
III Combination EEG/MEG and fMRI 193(36)
Having Your Voxels and Timing Them Too?
195(14)
Scott Makeig
Tzyy-Ping Jung
Terrence J. Sejnowski
Recording of Evoked Potentials during Functional MRI
209(20)
Frithjof Kruggel
Christoph S. Herrmann
IV Models Integrating Neurophysiology and Functional Imaging 229(66)
Synthetic PET Imaging for Grasping: From Primate Neurophysiology to Human Behavior
231(20)
Michael A. Arbib
Andrew H. Fagg
Scott T. Grafton
The Use of Large-Scale Modeling for Interpreting Human Brain Imaging Experiments
251(22)
M-A. Tagamets
Barry Horwitz
Large-Scale Networks in Learning Analyzed with Partial Least Squares
273(22)
Hemanth P. Nair
Francisco Gonzalez-Lima
Index 295

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