Exploratory Analysis and Data Modeling in Functional Neuroimaging (Hardcover)

Friedrich T. Sommer, Andrzej Wichert

Exploratory Analysis and Data Modeling in Functional Neuroimaging (Hardcover)
  • 出版商: MIT
  • 出版日期: 2002-12-02
  • 售價: $1,500
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover
  • ISBN: 0262194813
  • ISBN-13: 9780262194815
  • 相關分類: Data Science

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Description:

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

商品描述(中文翻譯)

描述：
功能性成像工具如fMRI（功能性磁共振成像）、PET（正子发射断层扫描）、EEG（脑电图）和MEG（脑磁图）允许研究人员记录工作中的大脑活动并推断大脑的功能。本书提供了神经影像学的理论和计算方法的概述，包括推断、探索和因果数据分析方法；大脑功能理论；以及神经网络的生物物理和计算模型。它还强调了不同方法之间的密切关系，例如因果数据分析与生物物理建模之间的关系，以及功能理论与计算模型之间的关系。Friedrich T. Sommer是加利福尼亚州门洛帕克的Redwood Neuroscience Institute的科学家。

目录：
系列前言
前言 - Manfred Spitzer
序言
1. 神经影像学中的理论、数据分析和模拟模型概述 - Friedrich T. Sommer, Judith A. Hirsch和Andrzej Wichert
I. fMRI数据分析和实验设计
2. 模糊聚类对fMRI数据的探索性分析 - 哲学、策略、战术、实施...

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