Simultaneous EEG and fMRI Recording Analysis and Application 1st editon by Markus Ullsperger, Stefan Debener ISBN 0190451777 9780190451776

Part 1: Physiological Basics of EEG and fMRI

1.1: The Sources and Temporal Dynamics of Scalp Electric Fields (Christoph M. Michel and Daniel Brandeis)

Introduction

Neuronal Generators

Sources and Spatial Scales of EEG and ERP Activity

Spatial Field Distributions

Oscillations in Brain Networks

Functional Microstates of the Brain

EEG Source Imaging

REFERENCES

1.2: Physiological Basis of the BOLD Signal (Jozien Goense and Nikos K. Logothetis)

Introduction

BOLD Contrast Mechanism

The Neural Signals

Single- and Multi-Unit Activity

Combined MRI and Physiology

Conclusion

ACKNOWLEDGMENTS

REFERENCES

1.3: Studies of the Human Brain Combining Functional Neuroimaging and Electrophysiological Methods (Abraham Z. Snyder and Marcus E. Raichle)

Introduction

A Brief Physiological Review

Analysis of Combined FNI-Electrophysiology Data

A Brief Introduction to Event-Related Potential Paradigms

Reasons for Combining Electrophysiology and Functional Neuroimaging

Discussion

Concluding Opinions and Recommendations

ACKNOWLEDGMENTS

REFERENCES

Part 2: Technical Basics of Recording Simultaneous EEG-fMRI

2.1: Recording EEG Signals Inside the MRI (Ingmar Gutberlet)

Introduction

Parallel Versus Concurrent Acquisition

Challenges in Recording EEG in the MR

Types of MR Compatible Equipment

Patient Safety During Combined Recordings

Data Acquisition Considerations

Clock Synchronization

Subject Considerations

Conclusion

REFERENCES

2.2: Scanning Strategies for Simultaneous EEGfMRI Recordings (Andrew P. Bagshaw and Christian-G. Bénar)

Introduction

Sparse fMRI Acquisition

Continuous fMRI Acquisition

Advanced Recording Strategies

Applications of Continuous Scanning

Conclusions

REFERENCES

2.3: Removal of MRI Artifacts from EEG Recordings (Tom Eichele, Matthias Moosmann, Lei Wu, Ingmar Gutberlet, and Stefan Debener)

Introduction

Prominent MRI Artifacts in EEG Recordings

Removal of the GA

Challenges in GA Removal

Properties and Removal of the BCG

Challenges in BCG Removal

Removing the BCG Using Spatial Pattern Removal Approaches

Combining and Comparing Different BCG Removal Approaches

Conclusion

REFERENCES

2.4: Influence of EEG Equipment on MR Image Quality (Karen Mullinger and Richard Bowtell)

Introduction

Magnetic Susceptibility Effects (B0-Inhomogeneity)

B1-inhomogeneity

Signal-to-noise Ratio

Effect on fMRI Data

Safety of Simultaneous EEG-fMRI

Limiting the Reduction of MRI Data Quality During Simultaneous EEG-fMRI

REFERENCES

Part 3: Multimodal Data Integration

3.1: Using ICA for the Analysis of Multi-Channel EEG Data (Stefan Debener, Jeremy Thorne, Till R. Schneider, and Filipa Campos Viola)

Introduction

Basic ICA Model

ICA Assumptions

Spatial Stationarity (Fixed Sources-Sensor Configuration)

ICA Outcome

ICA Reliability

Conclusion

NOTE

REFERENCES

3.2: Using ICA for the Analysis of fMRI Data (Giancarlo Valente, Fabrizio Esposito, Federico de Martino, Rainer Goebel, and Elia Formisano)

Introduction

Problem Formulation and Application to fMRI

Algorithms and Performance

Component Characterization and Classification: The IC–fingerprint

REFERENCES

3.3: EEG-Informed fMRI Analysis (Markus Ullsperger)

Introduction

The Relationship of EEG and fMRI Measures

EEG-fMRI Covariation Across Subjects and in Parametric Designs

Simultaneous EEG and fMRI of Ongoing Activity

Event-Related Simultaneous EEG and fMRI

Future Directions and Alternative Approaches

REFERENCES

3.4: Fusion of EEG and fMRI by Parallel Group ICA (Vince D. Calhoun and Tom Eichele)

Introduction and Background

Theory

Examples

Summary

ACKNOWLEDGMENTS

REFERENCES

3.5: Parallel EEG-fMRI ICA Decomposition (Tom Eichele and Vince D. Calhoun)

Introduction

Methods

Results

Discussion

ACKNOWLEDGMENT

REFERENCES

3.6: The Hemodynamic Response of EEG Features (JC deMunck, SI Gonçalves, PJ van Houdt, RMammoliti, P Ossenblok, and FH Lopes da Silva)

Introduction

Methods

Application

Discussion

REFERENCES

3.7: Integration of Separately Recorded EEG/MEG and fMRI Data (Michael Wibral, Christoph Bledowski, and Georg Turi)

Overview

Aims of Combining EEG/MEG and fMRI

When to Use Concurrent EEG-fMRI and When to Use Separate Recordings

Neuroelectromagnetic Source Analysis

Comparing BOLD fMRI and Independently Localized Electrophysiological Signals

Conclusion

NOTES

REFERENCES

3.8: Analyzing Effective Connectivity with EEG and MEG (Stefan J. Kiebel, Marta I. Garrido, and Karl J. Friston)

Introduction

Dynamic Causal Modeling: Theory

Illustrative Examples

Evidence for Feedback Loops

Discussion

SOFTWARE NOTE

ACKNOWLEDGMENTS

NOTE

REFERENCES

3.9: Analyzing Functional and Effective Connectivity with fMRI (Klaas Enno Stephan and Karl J. Friston)

Introduction

Functional Connectivity

Effective Connectivity

Future Applications and Extensions of DCM

ACKNOWLEDGMENTS

NOTES

REFERENCES

Part 4: Applications

4.1: Linking Band-Limited Cortical Activity to fMRI and Behavior (Markus Siegel and Tobias H. Donner)

Introduction

A Brief Primer on Band-Limited Neural Activity

Linking Band-Limited Neural Activity to Behavior

Why Do Frequency Bands Exhibit Specific Functional Properties?

Linking Band-Limited Neural Activity to fMRI

Questions for Future Research

Conclusion

ACKNOWLEDGMENTS

NOTES

REFERENCES

4.2: Clinical Applications: Epilepsy (Helmut Laufs and Rachel Thornton)

Introduction

A Brief History of Simultaneous EEG and fMRI

The Motivation: EEG/fMRI in the Presurgical Evaluation of Adult Epilepsy

EEG/fMRI Studies of Specific Pathologies in Adults

EEG/fMRI in the Pediatric Population

Lessons from Early Studies: EEG/fMRI Beyond the Irritative Zone

Methodological Refinement

The Hemodynamic Response to IED

Ictal Studies in Focal Epilepsy

Limitations

Potential Solutions

What Should Be Done Next

Conclusion

ACKNOWLEDGMENTS