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Deep Brain Stimulation (DBS) is an established and highly efficacious treatment option for movement disorders such as Parkinson’s Disease, Essential Tremor and Dystonia, but promising results have been shown in a growing number of brain diseases such as Depression, Obsessive Compulsive Disorder, Alzheimer’s Disease and Pain. This 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. This book asks several questions: To which cortical areas should DBS electrodes be connected in order to generate the highest possible clinical improvement? Which connections should be avoided in order to reduce side effects? Could these connectomic insights be used to better understand the mechanism of action of DBS? How can they be transferred to the individual patient undergoing surgery – will this bring forward a more personalized medicine in DBS? And finally, could these network modulation concepts be transferred to noninvasive treatment options such as multifocal transcranial direct current stimulation or transcranial magnetic stimulation? This book is suitable for neuroscientists, neurologists, and functional surgeons studying DBS and provides practical advice on processing strategies and theoretical background highlighting and reviewing the current state-of-the-art in connectomic surgery. It also illustrates an outlook of what is to come, detailing practical advice on how to incorporate the introduced strategies by references to the Lead-DBS open-source software package that was specifically built to facilitate connectomic deep brain stimulation practices, and considered by many to be the “standard” in DBS imaging analyses.
- Written to provide a "hands-on" approach for neuroscience graduate students, as well as medical personel from the fields of neurology and neurosurgery
- Preprocessing strategies (such as co-registration, normalization, lead localization, VTA estimation and fiber-tracking approaches) will be compared so user can select best technique for their experiment
- Chapters include references (key articles, books, protocols) for additional detailed study
- Data Analysis boxes in each chapter help with data interpretation and offer guidelines on how best to represent results
- Walk-through boxes guide readers through the experiment within the Lead-DBS software package step-by-step
Graduate students in biological and biomedical sciences, neuroscientists, clinicians (especially neurosurgery, neurology and neuroradiology), biomedical scientists, post-doctoral fellows, researchers
Part I: Deep Brain Stimulation and Connectomics – A Fruitful Marriage?
1. Deep Brain Stimulation – an Introduction
2. The “connectomic revolution” in the field of neuroimaging
3. The mechanism of deep brain stimulation
Part II: DBS Imaging Methods
4. DBS Imaging - An Overview
5. DBS Imaging Methods I: Preprocessing
6. DBS Imaging Methods II: Electrode Localization
7. DBS Imaging Methods III: Estimating the electric field and Volume of Tissue Activated
8. DBS Imaging Methods IV: Stereotactic Spaces
9. DBS Imaging Methods IV: Group Analyses
Part III: Connectomics in DBS
10. Resting-State functional MRI based Connectivity
11. Diffusion-weighted MRI based Connectivity
12. Normative Connectomes and their use in DBS
13. Investigating Network Effects of DBS with fMRI
14. High-Resolution Resources and Histological Mesh Tractography
15. Using brain lesions to inform connectomic DBS
16. Electrophysiological connectivity measures from DBS-targets in Parkinson’s disease and Dystonia
Part IV: Applications of Connectomic DBS
17. Predicting treatment response on a local level
18. Predicting treatment response based on DBS connectivity
19. Connectomic DBS in Parkinson’s Disease, Essential Tremor and Dystonia
20. Connectomic DBS in Major Depression
21. Connectomic DBS in Obsessive Compulsive Disorder
22. Connectomics in the Operation Room
23. Investigating cognitive neuroscience concepts using connectomic DBS
24. Combining invasive and noninvasive neuromodulation techniques via connectomics
Part V: Outlook
25. Outlook: Toward Personalized Connectomic Deep Brain Stimulation
26. Whole-brain modelling to predict optimal DBS targeting
- No. of pages:
- © Academic Press 2021
- 1st September 2021
- Academic Press
- Paperback ISBN:
Andreas Horn is a clinician scientist with training in brain imaging and various forms of brain stimulation. He leads the network stimulation laboratory in Berlin (www.netstim.berlin), where 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.
Movement Disorders and Neuromodulation Section, Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany
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