Precision Functional Mapping
From Human Neuroscience to Engineering
- 1st Edition - February 1, 2027
- Latest edition
- Author: Prantik Kundu
- Language: English
Precision Functional Mapping explores next-generation functional neuroimaging techniques, focusing on the pursuit of accuracy and scalability in understanding the human brain,… Read more
Description
Description
Precision Functional Mapping explores next-generation functional neuroimaging techniques, focusing on the pursuit of accuracy and scalability in understanding the human brain, to the extent of enabling individual-subject level insights on brain function. Precision Functional Mapping: From Neuroscience to Engineering provides a clear and practical guide to implementing precision functional mapping. It uniquely balances the theoretical foundations of advanced functional neuroimaging with actionable strategies for implementation. With an emphasis on precision, scalability, and practical relevance, it addresses both current limitations and future possibilities in the field. By focusing on underexplored areas such as sparsity, temporal precision, and regulatory considerations, it offers a fresh perspective. Readers interested in neuroscience research, clinical applications, or technology development will find this book gives them tools and insights to push the boundaries of what is possible with functional neuroimaging.
Key features
Key features
- Underlying Principles: Explains the fundamental biophysical and computational aspects of functional neuroimaging
- Applications: Practical insights for clinicians, researchers, and industry professionals in areas such as diagnostics, drug development, and human-machine interaction.
- Latest Research: Updates on cutting-edge developments in multi-echo fMRI, noise modeling, and temporal precision
- Guidance: Practical tips for experimental design, data analysis, and navigating common challenges in neuroimaging studies
- Code & Methods: Clear descriptions of algorithms and workflows, emphasizing usability and efficiency
- Future Directions: Discussion of emerging technologies, such as high-field MRI and distributed computing, and their implications for the field
- Distinct Value: Introduces fresh perspectives on sparsity, dimensionality, and brain dynamics that are essential for precision imaging
Readership
Readership
Biomedical engineers and technologists working in fMRI, cognitive neuroscientists, psychologists working with neuroimaging, radiologists and clinicians who want to learn about the theories and methodologies underlying Precision Functional Mapping
Table of contents
Table of contents
Part 1: Precision Functional Mapping
1. Precision from a Neuroimaging Perspective: Definitions of precision for fMRI and comparisons to other techniques
2. Myriad Measures of Multi-Echo fMRI: Key measurements enabled by this imaging strategy
3. TE-Dependence Analysis: Understanding what adding the TE-domain to measurement adds to interpretation
4. Understanding Noise: Historical precedents to the definition of noise in fMRI and a modern take
5. Resolving Resolution: Understand imaging resolution for effect size and avoiding hype
6. A Tale of Two Global Signals: A deep dive on physical mechanisms and mitigation strategies related to the global signal
7. A Stable Basis: Using the emergence of stable functional neuroarchitecture to changing experimental strategies and possibilities
8. Surprises in the Subcortex: New insights into cerebellar and subcortical roles
9. Strategic Power Analysis in PFM: Optimizing experimental power
Part 2: Temporal PFM
10. Slow BOLD: An underestimated yet essential measurement capability
11. Free Time: The possibilities of experiments that the temporally multi-scale
12. pace-Time: Modelling spatio-temporal brain dynamics
13. Sparsity Theory: The essence of information in brain data
14. BOLD Rhythms: Under-represented temporal dynamics in BOLD signals in health and disease
Part 3. Scalable PFM
15. What is Scalable?: Defining scalability for functional neuroimaging and its importance in application
16. Neuroengineering principles of PFM: Systematic approaches to bringing engineering discipline to functional neuroimaging
17. PFM for Controlled Endpoints: Regulatory pathways and considerations for bringing PFM strategies to market
18. Scalability Engineering for PFM Systems: Software and hardware innovations
19. Brain Factors Framework: Extending the engineering concept of human factors to neuroengineering strategy based on PFM
20. Future of Field Strength: Realizing PFM at multiple field strengths by combining the strategies discussed throughout the book
1. Precision from a Neuroimaging Perspective: Definitions of precision for fMRI and comparisons to other techniques
2. Myriad Measures of Multi-Echo fMRI: Key measurements enabled by this imaging strategy
3. TE-Dependence Analysis: Understanding what adding the TE-domain to measurement adds to interpretation
4. Understanding Noise: Historical precedents to the definition of noise in fMRI and a modern take
5. Resolving Resolution: Understand imaging resolution for effect size and avoiding hype
6. A Tale of Two Global Signals: A deep dive on physical mechanisms and mitigation strategies related to the global signal
7. A Stable Basis: Using the emergence of stable functional neuroarchitecture to changing experimental strategies and possibilities
8. Surprises in the Subcortex: New insights into cerebellar and subcortical roles
9. Strategic Power Analysis in PFM: Optimizing experimental power
Part 2: Temporal PFM
10. Slow BOLD: An underestimated yet essential measurement capability
11. Free Time: The possibilities of experiments that the temporally multi-scale
12. pace-Time: Modelling spatio-temporal brain dynamics
13. Sparsity Theory: The essence of information in brain data
14. BOLD Rhythms: Under-represented temporal dynamics in BOLD signals in health and disease
Part 3. Scalable PFM
15. What is Scalable?: Defining scalability for functional neuroimaging and its importance in application
16. Neuroengineering principles of PFM: Systematic approaches to bringing engineering discipline to functional neuroimaging
17. PFM for Controlled Endpoints: Regulatory pathways and considerations for bringing PFM strategies to market
18. Scalability Engineering for PFM Systems: Software and hardware innovations
19. Brain Factors Framework: Extending the engineering concept of human factors to neuroengineering strategy based on PFM
20. Future of Field Strength: Realizing PFM at multiple field strengths by combining the strategies discussed throughout the book
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 1, 2027
- Language: English
About the author
About the author
PK
Prantik Kundu
Prantik Kundu, PhD is a neuroscientist and biophysicist with expertise in advanced neuroimaging, and software systems based on AI and cloud architectures. His career has bridged academia and industry. After obtaining his PhD from Cambridge, he joined the faculty of radiology and psychiatry at Mount Sinai School of Medicine, and then served in senior roles in the development of portable MRI, and executive roles in brain-imaging based multi-site clinical trials. His neuroscience and neuroimaging research has led to numerous papers laying the foundational for advanced functional MRI, precision functional mapping, in broad theoretical underpinning and widespread applications in the neuropsychology, neuropsychiatry, and neuroengineering.
Affiliations and expertise
Icahn School of Medicine, Mount Sinai Psychiatry, USA