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Advances in Resting-State Functional MRI
Methods, Interpretation, and Applications
- 1st Edition - June 30, 2023
- Editors: Jean Chen, Catie Chang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 8 8 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 8 5 4 5 - 1
Advances in Resting-State Functional MRI: Methods, Interpretation, and Applications gives readers with basic neuroimaging experience an up-to-date and in-depth understan… Read more
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Request a sales quoteAdvances in Resting-State Functional MRI: Methods, Interpretation, and Applications gives readers with basic neuroimaging experience an up-to-date and in-depth understanding of the methods, opportunities, and challenges in rs-fMRI. The book covers current knowledge gaps in rs-fMRI, including "what are biologically plausible brain networks," "how to tell what part is noise," "how to perform quality assurance on the data," "what are the spatial and temporal limits of our ability to resolve FC," and "how to best identify network features related to individual differences or disease state".
This book is an ideal reference for neuroscientists, computational neuroscientists, psychologists, biomedical engineers, physicists and medical physicists. Both new and more advanced researchers alike will be able to discover new information distilled from the past decade of research to become well-versed in rs-fMRI-related topics.
- Presents the first book to explain the latest methods, opportunities and challenges of Resting-state Functional MRI
- Edited and authored by leading researchers in fMRI
- Includes neuroscientific and clinical applications
Biomedical engineers, neuroscientists, computational neuroscientists, MRI researchers, psychologists- researchers and graduate students
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- 1: Introduction to resting-state fMRI
- Abstract
- Introduction
- First case of resting-state fMRI
- Origin of resting-state fMRI signals
- Applications of resting-state fMRI
- Preprocessing of resting-state fMRI data
- Resting-state fMRI analysis
- Challenges and limitations of rs-fMRI
- Future of rs-fMRI
- Conclusion
- References
- 2: Resting state fMRI connectivity mapping across species: Challenges and opportunities
- Abstract
- Acknowledgments
- The elusive origin of resting-state “fMRI connectivity”
- Bridging the explanatory gap with cross-species rsfMRI
- Convergence and divergence in resting-state network organization across species
- Lost in translation: Challenges in comparing resting-state fMRI connectivity across species
- Conclusions
- References
- 3: Brain networks atlases
- Abstract
- Introduction
- Methods to delineate brain networks
- From evidence of individual networks to brain network atlases
- Applications of brain networks atlases
- Conclusions
- References
- 4: Interoceptive influences on resting-state fMRI
- Abstract
- Introduction
- Neural pathways of interoception
- Autonomic reflexes and resting-state fMRI
- Cortical networks and interoception
- Viscera-brain coupling
- Implications for resting-state networks
- Current challenges and future directions
- References
- 5: Head motion and physiological effects
- Abstract
- Introduction
- The impact of head motion on RS-fMRI
- Addressing the impact of head motion on resting-state fMRI
- The impact of physiological noise on RS-fMRI
- Addressing the impact of physiological noise on resting-state fMRI
- Conclusions
- References
- 6: Physiological brain pulsations
- Abstract
- Historical perspective
- Intracranial hydrodynamic physiology
- Physiological forces driving solute transport
- Cardiovascular brain pulsation
- Respiratory brain pulsation
- Vasomotor waves in awake brain
- Sleep changes all physiological brain pulsations
- Pathological alterations in brain pulsations
- Summary
- References
- 7: Systemic low-frequency oscillations in resting-state fMRI
- Abstract
- Characteristics of low-frequency oscillations (LFOs)
- References
- 8: The role of vigilance in resting-state functional MRI
- Abstract
- Introduction
- Assessing vigilance
- Links between vigilance and the rsfMRI signal
- Dynamics of vigilance effects
- fMRI-based vigilance estimates
- Vigilance and disease
- Challenges and future directions
- Conclusion
- References
- 9: Multimodal methods to help interpret resting-state fMRI
- Abstract
- Introduction
- The significance of animal fMRI to interpret rs-fMRI
- Multimodal neuroimaging to interpret rs-fMRI
- Conclusion
- References
- 10: Quality assurance: Best practices
- Abstract
- Conflict of interest
- Introduction
- Part 1: What is fMRI data quality?
- Part 2: How can data qualities be measured?
- Part 3: How are data qualities visualized?
- Part 4: Properties of fMRI data with quality problems
- Part 5: Deciding how to suppress bad qualities to get sound conclusions
- Conclusion
- References
- 11: Advances in resting-state fMRI acquisition: Highly accelerated fMRI
- Abstract
- Introduction
- Methods in detail
- Summary and conclusions
- References
- 12: Time-varying functional connectivity
- Abstract
- Time-varying vs. time-averaged functional connectivity
- Time-resolved analysis methods
- Summarizing time-resolved analysis methods
- Null models and statistical analysis
- Sources of temporal variation in rs-fMRI
- Time-varying rs-fMRI analysis for basic science
- Time-varying analysis for clinical research
- Future directions
- References
- 13: Individual differences
- Abstract
- Introduction
- Quantitative metrics of individual differences in brain organization
- Precision functional mapping of individual brains
- Using fcMRI to study brain-behavior relationship
- Functional connectivity MRI in clinical populations
- Summary
- References
- 14: Resting-state fMRI and cerebrovascular reactivity
- Abstract
- Introduction
- How CVR influences rs-fMRI measurements?
- CVR mapping using resting-state fMRI
- Clinical application of resting-state CVR
- Conclusion
- References
- 15: Clinical applications of resting-state fMRI
- Abstract
- Introduction
- Current use of rs-fMRI in clinical practice
- Challenges/barriers
- rs-fMRI for presurgical planning
- Other applications
- Summary
- References
- Index
- No. of pages: 425
- Language: English
- Edition: 1
- Published: June 30, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323916882
- eBook ISBN: 9780323985451
JC
Jean Chen
Dr. Jean Chen is a Senior Scientist at the Rotman Research Institute and Tier II Canada Research Chair in Neuroimaging of Aging. She is also faculty in Medical Biophysics at the University of Toronto. She received her PhD (2009) in Biomedical Engineering from McGill University, and completed her postdoctoral work on multimodal MRI of brain aging at the Martinos Center for Biomedical Imaging, Harvard Medical School (2011). She is best known for her work on fMRI measurements of brain physiology and physiology of the aging brain.
Affiliations and expertise
Scientist, Rotman Research Institute. Canada Research Chair in Neuroimaging of Aging. Faculty, Medical Biophysics, University of Toronto, CanadaCC
Catie Chang
Catie Chang received her Ph.D. in Electrical Engineering from Stanford University, in the Radiological Sciences Lab. She was then a Postdoctoral Fellow in the Intramural Research Program of the National Institutes of Health. In 2018, she joined Vanderbilt University as an Assistant Professor. Her lab seeks to advance understanding of human brain function by developing techniques for analyzing and interpreting neuroimaging data.
Affiliations and expertise
Assistant Professor, Vanderbilt University, Nashville, TN, USA