BookStephan Ulmer, Olav Jansen, editors.
Summary: This book provides a state of the art overview of fMRI and its use in clinical practice. It covers technical issues, anatomical landmarks, the full range of clinical applications, methods of statistical analysis, and special issues.
Contents:
Intro
Contents
Part I: Basics
1: Introduction
2: Neuroanatomy and Cortical Landmarks
2.1 Neuroanatomy and Cortical Landmarks of Functional Areas
2.1.1 Sensorimotor Cortex
2.1.1.1 Transverse Sections
2.1.1.2 Sagittal Sections
2.1.2 The Insula
2.1.2.1 Sagittal Sections
2.1.2.2 Transverse Sections
2.1.3 Speech-Associated Frontal Areas
2.1.3.1 Transverse Sections
2.1.3.2 Sagittal Sections
2.1.4 Auditory Cortex and Speech-Associated Temporoparietal Areas
2.1.4.1 Transverse Sections
2.1.4.2 Sagittal Sections 2.1.4.3 Coronal Sections
2.1.5 Visual Cortex
2.1.5.1 Sagittal Sections
References
3: The Electrophysiological Background of the fMRI Signal
3.1 Introduction
3.2 The Compound Neural Signal
3.3 The Passive Electric Properties of the Brain
3.4 The Neural Correlate of the BOLD Signal
3.5 The Coupling of Synaptic Activity and CBF
3.6 Conclusions
References
4: High-Field fMRI
4.1 Introduction
4.2 Benefits and Limitations of High- and Ultra-High-Field MRI
4.3 Special Aspects of High-Field fMRI
4.3.1 7 T and Beyond 4.4 Ultra-High-Field fMRI: Recent Neurocognitive Studies
4.5 Ultra-High-Field fMRI and Possible Clinical Applications
References
5: Resting-State fMRI: Preclinical Foundations
5.1 Introduction
5.2 Conceptual Overview
5.3 Basic Facts about Resting-State fMRI Scans
5.4 Basic Properties of RSFC Scans: The Bad News
5.5 Basic Properties of RSFC Scans: The Good News
5.6 Basic Properties of RSFC Scans: Links between Artifacts and Variables of Interest
5.7 Basic Properties of RSFC Scans: Signal Denoising
5.8 Clinical Uses of RSFC Data
5.9 Conclusions 8.2.3 Interface
8.2.4 File Formats
8.3 Spatial Transformations
8.3.1 Data Preparation
8.3.2 Realignment
8.3.3 Coregistration
8.3.4 Spatial Normalisation
8.3.5 Spatial Smoothing
8.4 Modelling and Statistical Inference
8.4.1 The General Linear Model
8.4.2 Contrasts
8.4.3 Topological Inference
8.4.4 Population-Level Inference
8.5 Conclusions
References
9: Meta-Analyses in Basic and Clinical Neuroscience: State of the Art and Perspective
9.1 An Introduction to Quantitative Meta-Analysis in Neuroimaging Science