<i>Connectomic Deep Brain Stimulation</i> (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 n
Connectomic Deep Brain Stimulation
✍ Scribed by Andreas Horn
- Publisher
- Academic Press
- Year
- 2021
- Tongue
- English
- Leaves
- 601
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Table of Contents
Contents
Contributors
Foreword
Preface
Acknowledgments
Part I: Deep brain stimulation and connectomics: a fruitful marriage?
1. Connectomic DBS: An introduction • Andreas Horn, Bassam Al-Fatly, Wolf-Julian Neumann, and Clemens Neudorfer
2. Network neuroscience and the connectomics revolution • Richard F. Betzel
3. Neurophysiological mechanisms of DBS from a connectomic perspective • Wolf-Julian Neumann
Part II: DBS imaging methods
4. DBS imaging: An overview • Andreas Horn, Simon Oxenford, and Ningfei Li
5. DBS imaging methods I: Preprocessing • Thushara Perera
6. DBS imaging methods II: Electrode localization • Andreas Husch and Frank Hertel
7. DBS imaging methods III: Estimating the electric field and volume of tissue activated • K. Butenko and U. van Rienen
8. Stereotactic spaces • Jonathan C. Lau
9. DBS imaging methods IV: Group analyses • Svenja Treu and Andreas Horn
Part III: Connectomics in DBS
10. Resting-state functional MRI-based connectivity • James M. Shine
11. Diffusion MRI-based connectivity • Thijs Dhollander and Joseph Yuan-Mou Yang
12. Normative connectomes and their use in DBS • Gavin J.B. Elias, Jürgen Germann, Aaron Loh, Alexandre Boutet, Alaa Taha, Emily H.Y. Wong, Roohie Parmar, and Andres M. Lozano
13. Investigating network effects of DBS with fMRI • Robert Jech and Karsten Mueller
14. High-resolution resources and histological mesh tractography • Eduardo Joaquim Lopes Alho, Erich Talamoni Fonoff, and Helmut Heinsen
15. Using brain lesions to inform connectomic DBS • Juho Joutsa and Michael D. Fox
16. Electrophysiological connectivity measures from deep brain stimulation (DBS)-targets in Parkinson’s disease and dystonia • Roxanne Lofredi and Andrea A. K€uhn
Part IV: Applications of connectomic DBS
17. Mapping and predicting treatment response on a local level • Till Anselm Dembek
18. Predicting treatment response based on DBS connectivity • Andreas Horn
19. Connectomic DBS in Parkinson’s disease, essential tremor and dystonia • Francisca Ferreira and Harith Akram
20. Connectomic DBS in major depression • Ki Sueng Choi and Helen Mayberg
21. Connectomic deep brain stimulation in obsessive compulsive disorder • Juan Carlos Baldermann
22. Fiber tractography-assisted deep brain stimulation surgery: Connectomics in the operating room • Volker A. Coenen and Marco Reisert
23. Investigating cognitive neuroscience concepts using connectomic DBS • Friederike Irmen, Paul Krack, and Andrea A. Kühn
24. Combining invasive and noninvasive brain stimulation • Shan H. Siddiqi and Michael D. Fox
Part V: Outlook
25. Outlook: Towards personalized connectomic deep brain stimulation • Nanditha Rajamani, Andreas Horn, and Barbara Hollunder
26. Whole-brain modeling to predict optimal deep brain stimulation targeting • Henrique M. Fernandes, Gustavo Deco, and Morten L. Kringelbach
Index
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