Overview

Connectomic 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.

Full Product Details

Author:   Andreas Horn (Movement Disorders and Neuromodulation Section, Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   1.180kg
ISBN:  

9780128218617

ISBN 10:   0128218614
Pages:   600
Publication Date:   13 September 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

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

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Author Information

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.

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