Connectomic Deep Brain Stimulation
- 1st Edition - September 10, 2021
- Editor: Andreas Horn
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 8 6 1 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 8 6 2 - 4
Connectomic Deep Brain Stimulation (DBS) covers this highly efficacious treatment option for movement disorders such as Parkinson’s Disease, Essential Tremor and Dystonia.… Read more
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Request a sales quoteConnectomic Deep Brain Stimulation (DBS) covers this highly efficacious treatment option for movement disorders such as Parkinson’s Disease, Essential Tremor and Dystonia. The book examines its impact on distributed brain networks that span across the human brain in parallel with modern-day neuroimaging concepts and the connectomics of the brain. It asks several questions, including which cortical areas should DBS electrodes be connected in order to generate the highest possible clinical improvement? Which connections should be avoided? Could these connectomic insights be used to better understand the mechanism of action of DBS? How can they be transferred to individual patients, and more.
This book is suitable for neuroscientists, neurologists and functional surgeons studying DBS. It provides practical advice on processing strategies and theoretical background, highlighting and reviewing the current state-of-the-art in connectomic surgery.
- Written to provide a "hands-on" approach for neuroscience graduate students, as well as medical personnel from the fields of neurology and neurosurgery
- Includes preprocessing strategies (such as co-registration, normalization, lead localization, VTA estimation and fiber-tracking approaches)
- Presents references (key articles, books and protocols) for additional detailed study
- Provides data analysis boxes in each chapter to help with data interpretation
Graduate students in biological and biomedical sciences, neuroscientists, clinicians (especially neurosurgery, neurology and neuroradiology), biomedical scientists, post-doctoral fellows, researchers
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Foreword
- Preface
- Acknowledgments
- Part I: Deep brain stimulation and connectomics: a fruitful marriage?
- Chapter 1: Connectomic DBS: An introduction
- Abstract
- Connectomic deep brain stimulation: Aim of this book
- Surgical modulation of networks: Where do we come from?
- The connectome: A new era of measuring brain connectivity?
- New technologies to measure brain connectivity without opening the skull
- From brain circuitopathies to connectomic surgery
- Modulating brain networks at the level of their integrator-hubs
- Neuromodulation largely disrupts information flow
- Retuning attractor states in brain networks and parallels to chemotherapy
- Conclusion
- Chapter 2: Network neuroscience and the connectomics revolution
- Abstract
- Introduction
- Structural and functional brain networks
- Network measures and analysis
- What have we learned?
- What does the future hold?
- Conclusion
- Chapter 3: Neurophysiological mechanisms of DBS from a connectomic perspective
- Abstract
- Introduction
- Limitations and shortcomings
- Important variables that could determine the effect of DBS
- Introduction to traditional DBS mechanism research in Parkinson’s disease
- Distant anti- and orthodromic axonal activation and inhibition
- A novel generalizable framework to neurotransmitter specific DBS effects
- Modulation of oscillatory local field potential activity
- Modulation of distributed neurophysiological networks
- Synaptic plasticity and temporal immediacy of DBS
- Conclusion
- Part II: DBS imaging methods
- Chapter 4: DBS imaging: An overview
- Abstract
- Why apply neuroimaging for DBS?
- Neuroimaging and DBS
- Strategy one: Augmenting data quality
- Strategy two: Enhancing processing methods and pipelines
- Conclusion
- Chapter 5: DBS imaging methods I: Preprocessing
- Abstract
- Acknowledgments
- Introduction
- Image acquisition
- Coregistration
- Normalization
- Chapter 6: DBS imaging methods II: Electrode localization
- Abstract
- Introduction
- The state-of-the-art
- Methods for lead localization in the era of connectomic DBS
- Lead reconstruction
- Contact detection
- Directionality and detection of individual contacts in segmented leads
- A word on accuracy
- Brain shift and the question of the right timing of postoperative imaging
- Conclusion
- Chapter 7: DBS imaging methods III: Estimating the electric field and volume of tissue activated
- Abstract
- Acknowledgment
- Volume of tissue activated
- Electric field modeling in brain tissue
- Approaches for VTA approximation
- Future prospects of DBS modeling
- Chapter 8: Stereotactic spaces
- Abstract
- Introduction
- Classic stereotactic spaces
- Stereotactic mapping
- Magnetic resonance imaging and stereotactic spaces
- New developments in stereotactic spaces
- Conclusion
- Chapter 9: DBS imaging methods IV: Group analyses
- Abstract
- The introduction of common stereotactic spaces
- DBS efficacy and electrode placement
- Available software for DBS group analyses
- Local studies of optimal stimulation sites
- Connectomic DBS group studies
- Conclusion and outlook
- Part III: Connectomics in DBS
- Chapter 10: Resting-state functional MRI-based connectivity
- Abstract
- Introduction
- Resting-state fMRI collection
- Resting-state fMRI analysis
- Insights from the analysis of resting-state fMRI
- Conclusions
- Chapter 11: Diffusion MRI-based connectivity
- Abstract
- Inferring microstructure from diffusion MRI
- Diffusion modeling and streamline tractography
- Fiber modeling to account for crossing fibers and dispersion
- Whole-brain tractography and false positives
- Targeted tractography
- Targeted tractography for neurosurgery in eloquent brain areas
- Region of interest strategies for targeted tractography
- Limitations of targeted tractography
- Conclusion
- Chapter 12: Normative connectomes and their use in DBS
- Abstract
- Introduction
- The normative connectome
- Applying normative connectomes to DBS: A brief overview of the literature
- Normative vs. individual connectomes
- Healthy vs. disease-specific normative connectomes
- Structural vs. functional connectomes
- Using normative connectomes in Lead-DBS: A “how-to” guide
- Conclusion
- Chapter 13: Investigating network effects of DBS with fMRI
- Abstract
- Acknowledgment
- Technical and safety issues
- PD and DBS
- Other disorders and DBS
- Conclusion
- Chapter 14: High-resolution resources and histological mesh tractography
- Abstract
- Introduction
- Part I: Evolution of brain connectivity mapping
- Part II: Histological mesh tractography
- Conclusion
- Chapter 15: Using brain lesions to inform connectomic DBS
- Abstract
- Introduction
- Lesion-based localization
- Connectivity-based localization
- Lesion network mapping technique
- Localization of treatment targets based on beneficial brain lesions
- Using connectivity-based localization of symptoms to guide treatment
- Relevance for treatment across etiologies
- Summary
- Chapter 16: Electrophysiological connectivity measures from deep brain stimulation (DBS)-targets in Parkinson’s disease and dystonia
- Abstract
- The benefits of electrophysiological connectivity measures
- Parkinson’s disease
- Dystonia
- Modulation of oscillatory power and connectivity by deep brain stimulation
- Perspective: Electrophysiological read-out of DBS-effects and feed-back
- Summary
- Part IV: Applications of connectomic DBS
- Chapter 17: Mapping and predicting treatment response on a local level
- Abstract
- Introduction
- Prerequisites and basics
- Mapping DBS effects on a local level
- Finding the sweetspot using voxel-based statistics
- Predicting outcome from local DBS mapping
- Guideline and conclusion
- Chapter 18: Predicting treatment response based on DBS connectivity
- Abstract
- Predicting effects of deep brain stimulation—From a local to global view
- Calculating connectivity fingerprints using brain connectivity data
- From connectivity fingerprints to models of optimal connectivity for effective DBS
- The DBS network mapping approach: Identifying whole-brain network profiles predictive of DBS outcomes
- Tract filtering: Which specific bundles mediate treatment effects?
- Going above and beyond clinical treatment effects
- A practical note
- Conclusions and summary
- Chapter 19: Connectomic DBS in Parkinson’s disease, essential tremor and dystonia
- Abstract
- Introduction
- The connectivity of effective DBS in ET, PD and dystonia
- Patient selection and outcome prediction
- Toward a better understanding of the disease process
- Chapter 20: Connectomic DBS in major depression
- Abstract
- Deep brain stimulation in major depression
- Deep brain stimulation targets for treatment-resistant depression
- Subcallosal cingulate cortex deep brain stimulation
- Evolution of subcallosal cingulate cortex deep brain stimulation: Anatomy-based to connectome-based targeting
- Subcallosal cingulate region anatomical target location
- Cohort 1: Anatomy-based targeting
- Initiation of activation pathway analysis for subcallosal cingulate region deep brain stimulation
- Identification of necessary activation pathways for the therapeutic effects
- Cohort 2: Prospective connectome-based targeting approach
- Cohort 3: Prospective connectome-based targeting with intraoperative real-time validation
- Conclusion and outlook
- Chapter 21: Connectomic deep brain stimulation in obsessive compulsive disorder
- Abstract
- Introduction
- Connectomic deep brain stimulation for OCD, from past to present
- Shifting paradigms in DBS for OCD—From focal targets to common target networks
- Structural connectivity of effective DBS for OCD
- A connectomic model of effective DBS for OCD
- Limitations and opportunities for connectomic DBS in OCD
- Chapter 22: Fiber tractography-assisted deep brain stimulation surgery: Connectomics in the operating room
- Abstract
- Introduction
- Imaging prerequisites to perform tractographic DBS
- Fiber tractography-assisted DBS for tremor
- Tractography assisted DBS for depression and OCD
- Conclusion and outlook
- Chapter 23: Investigating cognitive neuroscience concepts using connectomic DBS
- Abstract
- DBS as a unique window to cognitive and affective networks
- Connectomic DBS informing about cognitive and affective functions
- Shortcomings, perspectives, and translational potential of connectomic DBS studying cognition and affect
- Conclusion
- Chapter 24: Combining invasive and noninvasive brain stimulation
- Abstract
- Introduction: Different tools for modulating the same circuitry
- Noninvasive brain stimulation tools
- Connectomic approaches
- Conclusion
- Part V: Outlook
- Chapter 25: Outlook: Towards personalized connectomic deep brain stimulation
- Abstract
- Symptom-specific networks pave the path to personalized neuromodulation
- Methodological concepts to personalize deep brain stimulation
- The template approach
- The individualized template approach
- The fully individualized approach
- Conclusion
- Chapter 26: Whole-brain modeling to predict optimal deep brain stimulation targeting
- Abstract
- Introduction
- Fingerprinting brain dynamics over space and time
- Whole-brain computational modeling: Predicting controlled transitions between brain states
- Brain computational modeling of deep brain stimulation
- Synergizing brain stimulation
- Conclusions
- Index
- No. of pages: 600
- Language: English
- Edition: 1
- Published: September 10, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128218617
- eBook ISBN: 9780128218624
AH
Andreas Horn
Andreas Horn is the Director of Deep Brain Stimulation Research within the Center for Brain Circuit Therapeutics at Brigham and Women’s Hospital and Director of Connectomic Neuromodulation Research at Massachusetts General Hospital. Furthermore, he leads the network stimulation laboratory in Boston and Berlin (www.netstim.org), where the main aims are to analyze and modulate brain networks that may improve treatment for various brain disorders. Central to the laboratory is the procedure of deep brain stimulation, in which fine electrodes are stereotactically implanted into deep structures of the brain to deliver weak electric pulses to specific structures. A second key concept is the one of the human connectome: A mathematical description of brain regions and their interconnections – in other words, a wiring-diagram of the human brain. By leveraging this concept, the laboratory investigates the impact of focal and multifocal brain stimulation techniques on distributed whole-brain networks. The laboratory leads development of an award-winning and widely used open source software (www.lead-dbs.org) that facilitates these kinds of studies. By developing this software alongside critical methodology, the laboratory was able to combine research on the fields of deep brain stimulation and the human connectome over the last ten years. In doing so, the laboratory has published central work toward establishing a novel and growing field of connectomic deep brain stimulation.
Affiliations and expertise
Movement Disorders and Neuromodulation Section, Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyRead Connectomic Deep Brain Stimulation on ScienceDirect