Neuromodulation

The Use of New Surgical Technologies for Deep Brain Stimulation

Introduction Deep brain stimulation (DBS) is an established treatment for movement disorders with distinct advantages over best medical therapy and lesioning procedures ( ). In Parkinson disease (PD), for example, in addition to improving motor symptoms, DBS improves the overall…

Implanted Sensors in Neuromodulation via Electrical Stimulation

Introduction Neuromodulation systems rely on external control systems to adjust parameters, which control their output. Observation of the patient’s response to stimulation, or the patient’s own perception of stimulation, is used to manually adjust stimulation levels or other parameters to…

Focused Ultrasound Ablation for Neurological Disorders

Introduction High-intensity focused ultrasound is a transformative technology for noninvasive therapeutic thermal ablation using ultrasonic waves. The response of the tissue varies depending on the energy delivery to the treatment area, ranging from transient inhibition to therapeutic ablation. In recent…

Gene-Based Neuromodulation

Introduction One billion people worldwide have a neurologic disorder ( ), and despite great demand for effective therapies, treatment options for these disorders remain quite limited. Interventions to deliver genes to the nervous system that permanently restore function are a…

Prospects for a Robust Cortical Recording Interface

Acknowledgments The authors thank Erika Woodrum and the FES Center for their assistance in preparing illustrations. This work was supported by the Office of the Assistant Secretary of Defense for Health Affairs through the Peer Reviewed Medical Research Program under…

Invasive Brain–Computer Interfaces for Functional Restoration

Introduction Neurological and neuroanatomical injuries and disorders affect a large number of people worldwide, and often result in movement impairment and inability to perform everyday tasks, such as communicating, reaching, and grasping, independently. Persons who have experienced neurological injuries, such…

Noninvasive Brain–Computer Interfaces

Acknowledgments This work was supported by the NIH (EB00856, EB006356, and EB018783), the US Army Research Office (W911NF-08-1-0216, W911NF-12-1-0109, W911NF-14-1-0440), and Fondazione Neurone. Introduction Overview of This Chapter Brain–computer interfaces (BCIs) measure brain activity, extract features from that activity, and…

Brain–Computer Interfaces: Why Not Better?

Acknowledgments I would like to thank the many students and colleagues who are or have been part of the Brown University team that has laid the groundwork and implemented the translation of brain–computer interfaces, as well as the larger Braingate…