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The Chronnectome
Mapping the Dynamics of Brain Function
- 1st Edition - December 1, 2028
- Editors: Vince Calhoun, Robyn Miller, Armin Iraji
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 5 6 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 5 5 7 - 6
Dynamic spontaneous functional interactions across the brain can provide insights into the inherent functional organization principles of the human brain and expand our un… Read more
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Request a sales quoteDynamic spontaneous functional interactions across the brain can provide insights into the inherent functional organization principles of the human brain and expand our understanding of brain disorders and mental illnesses. Characterizing and evaluating these properties of the brain may lead to identifying biomarkers and tools for prognosis, diagnosis, and treatment. Among the various brain imaging techniques, functional magnetic resonance imaging (fMRI), a non-invasive technique, has been used to collect data from the whole brain, and arguably provides the best trade-off between spatial and temporal resolutions. The Chronnectome: Mapping the Dynamics of Brain Function focuses on whole-brain dynamic functional interactions calculated from fMRI. It introduces the concepts of dynamic functional connectivity and presents a wide range of existing approaches and their methods, while discussing their cognitive, clinical, and neurological relevance. It assumes no previous knowledge, making the book an accessible introduction to readers from a broad range of backgrounds.
- Gives an understanding of the concepts of the chronnectome and dynamic connectivity
- Provides a broad understanding of various approaches for dynamic functional connectivity
- Presents an overview of the many important applications of the field to studying health and disorder
- Shows how to use various existing tools to perform analysis
- Discusses the various challenges in the field and points toward future research directions
New and experienced researchers in the field of neuroimaging from the disciplines of physics, computer science, engineering, math, psychology and neuroscience
1. Introduction (the chronnectome) 2. Biological, physiology and psychology basis: Relationship with brain function, neural activity, physiology, and Interpretation 3. Window-based approaches (including instantaneous approaches) 4. Time-Frequency approaches 5. Graph-based approaches 6. Event-based approaches (CAP, iCAP, Change point detection) 7. Spatial dynamics [Evolving Networks/statelets/exemplars/QPPs] 8. Linking moments (derivative, activity/connectivity, edge-based, multi-moment) 9. Challenges, stability, replicability, reproducibility, sampling variability, null models 10. Dynamic modeling (dynamical systems?) 11. Tasked-based dynamics 12. Deep learning-based approaches 13. Multimodal (especially dynamic and structural connectivity) 14. Cognitive, clinical and behavioral relevance Possible further chapter division of chapter 9. Awaiting Editors’ response to the reviewer’s comment on this.
- No. of pages: 315
- Language: English
- Edition: 1
- Published: December 1, 2028
- Imprint: Academic Press
- Paperback ISBN: 9780443135569
- eBook ISBN: 9780443135576
VC
Vince Calhoun
Dr. Calhoun received a bachelor’s degree in electrical engineering (EE) from the University of Kansas, Lawrence, Kansas in 1991, master’s degrees in biomedical engineering and information systems from Johns Hopkins University, Baltimore in 1993 and 1996, and the Ph.D. degree in EE from the University of Maryland Baltimore County, Baltimore in 2002. He worked as a research engineer in the psychiatric neuroimaging laboratory at Johns Hopkins from 1993 until 2002. He then served as the director of medical image analysis at the Olin Neuropsychiatry Research Center and as an associate professor at Yale University. Most recently, he was a Distinguished Professor at the University of New Mexico and the President of the Mind Research Network. Dr. Calhoun is the founding director of the tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS; http://www.trendscenter.org), a joint effort between Georgia State, Georgia Tech, and Emory University, which is focused on improving our understanding of the human brain using advanced analytic approaches with an emphasis on translational research such as the development of predictive biomarkers for mental and neurological disorders. The use of big data approaches and neuroinformatics tools to capture, manage, analyze, and share data is also a major emphasis. Dr. Calhoun also enjoys playing tennis and playing clarinet with his children
Affiliations and expertise
TReNDS, Georgia State University, Georgia Institute of Technology and Emory UniversityRM
Robyn Miller
Dr. Miller’s interests are in image analysis, signal processing, machine learning, explainable deep learning and, more generally in developing methods for mining useful predictive patterns from complex high-dimensional data. Her recent work with the TReNDS center has focused on spatiotemporally and graphically dynamic data from the functional neuroimaging domain. She has also applied graph theory and machine learning to problems in 2D fracture dynamics as part of a larger institutional effort at Los Alamos National Laboratory to reduce the prohibitive computational expense of continuous time/space fracture models.
Affiliations and expertise
Assistant Professor of Computer Science
TReNDS , Georgia State University, Georgia Institute of Technology and Emory UniversityAI
Armin Iraji
Dr. Iraji’s background is in data science and signal processing including machine learning, data mining, image processing, and time-series analysis. With over 10 years of experience in medical imaging analyses such as MRI, CT, EEG, and photoacoustic imaging, he has devoted most of his research to developing analytical techniques to interpret brain signals with the goal of improving patient care and directly translating brain signals into actions.
Affiliations and expertise
TReNDS , Georgia State University, Georgia Institute of Technology and Emory University