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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• Part I: Deep Brain Stimulation and Connectomics – A Fruitful Marriage?1. Deep Brain Stimulation – an Introduction2. The “connectomic revolution” in the field of neuroimaging3. The mechanism of deep brain stimulationPart II: DBS Imaging Methods4. DBS Imaging - An Overview5. DBS Imaging Methods I: Preprocessing6. DBS Imaging Methods II: Electrode Localization7. DBS Imaging Methods III: Estimating the electric field and Volume of Tissue Activated8. DBS Imaging Methods IV: Stereotactic Spaces9. DBS Imaging Methods IV: Group AnalysesPart III: Connectomics in DBS10. Resting-State functional MRI based Connectivity11. Diffusion-weighted MRI based Connectivity12. Normative Connectomes and their use in DBS13. Investigating Network Effects of DBS with fMRI14. High-Resolution Resources and Histological Mesh Tractography15. Using brain lesions to inform connectomic DBS16. Electrophysiological connectivity measures from DBS-targets in Parkinson’s disease and DystoniaPart IV: Applications of Connectomic DBS17. Predicting treatment response on a local level18. Predicting treatment response based on DBS connectivity19. Connectomic DBS in Parkinson’s Disease, Essential Tremor and Dystonia20. Connectomic DBS in Major Depression21. Connectomic DBS in Obsessive Compulsive Disorder22. Connectomics in the Operation Room23. Investigating cognitive neuroscience concepts using connectomic DBS24. Combining invasive and noninvasive neuromodulation techniques via connectomicsPart V: Outlook25. Outlook: Toward Personalized Connectomic Deep Brain Stimulation26. Whole-brain modelling to predict optimal DBS targeting

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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• Part I: Deep Brain Stimulation and Connectomics – A Fruitful Marriage?1. Deep Brain Stimulation – an Introduction2. The “connectomic revolution” in the field of neuroimaging3. The mechanism of deep brain stimulationPart II: DBS Imaging Methods4. DBS Imaging - An Overview5. DBS Imaging Methods I: Preprocessing6. DBS Imaging Methods II: Electrode Localization7. DBS Imaging Methods III: Estimating the electric field and Volume of Tissue Activated8. DBS Imaging Methods IV: Stereotactic Spaces9. DBS Imaging Methods IV: Group AnalysesPart III: Connectomics in DBS10. Resting-State functional MRI based Connectivity11. Diffusion-weighted MRI based Connectivity12. Normative Connectomes and their use in DBS13. Investigating Network Effects of DBS with fMRI14. High-Resolution Resources and Histological Mesh Tractography15. Using brain lesions to inform connectomic DBS16. Electrophysiological connectivity measures from DBS-targets in Parkinson’s disease and DystoniaPart IV: Applications of Connectomic DBS17. Predicting treatment response on a local level18. Predicting treatment response based on DBS connectivity19. Connectomic DBS in Parkinson’s Disease, Essential Tremor and Dystonia20. Connectomic DBS in Major Depression21. Connectomic DBS in Obsessive Compulsive Disorder22. Connectomics in the Operation Room23. Investigating cognitive neuroscience concepts using connectomic DBS24. Combining invasive and noninvasive neuromodulation techniques via connectomicsPart V: Outlook25. Outlook: Toward Personalized Connectomic Deep Brain Stimulation26. Whole-brain modelling to predict optimal DBS targeting

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.

Select Guide Rating

• Part I: Deep Brain Stimulation and Connectomics – A Fruitful Marriage?1. Deep Brain Stimulation – an Introduction2. The “connectomic revolution” in the field of neuroimaging3. The mechanism of deep brain stimulationPart II: DBS Imaging Methods4. DBS Imaging - An Overview5. DBS Imaging Methods I: Preprocessing6. DBS Imaging Methods II: Electrode Localization7. DBS Imaging Methods III: Estimating the electric field and Volume of Tissue Activated8. DBS Imaging Methods IV: Stereotactic Spaces9. DBS Imaging Methods IV: Group AnalysesPart III: Connectomics in DBS10. Resting-State functional MRI based Connectivity11. Diffusion-weighted MRI based Connectivity12. Normative Connectomes and their use in DBS13. Investigating Network Effects of DBS with fMRI14. High-Resolution Resources and Histological Mesh Tractography15. Using brain lesions to inform connectomic DBS16. Electrophysiological connectivity measures from DBS-targets in Parkinson’s disease and DystoniaPart IV: Applications of Connectomic DBS17. Predicting treatment response on a local level18. Predicting treatment response based on DBS connectivity19. Connectomic DBS in Parkinson’s Disease, Essential Tremor and Dystonia20. Connectomic DBS in Major Depression21. Connectomic DBS in Obsessive Compulsive Disorder22. Connectomics in the Operation Room23. Investigating cognitive neuroscience concepts using connectomic DBS24. Combining invasive and noninvasive neuromodulation techniques via connectomicsPart V: Outlook25. Outlook: Toward Personalized Connectomic Deep Brain Stimulation26. Whole-brain modelling to predict optimal DBS targeting