Abstract

The proceedings of the 3rd Annual Deep Brain Stimulation Think Tank summarize the most contemporary clinical, electrophysiological, imaging, and computational work on DBS for the treatment of neurological and neuropsychiatric disease. Significant innovations of the past year are emphasized. The Think Tank's contributors represent a unique multidisciplinary ensemble of expert neurologists, neurosurgeons, neuropsychologists, psychiatrists, scientists, engineers, and members of industry. Presentations and discussions covered a broad range of topics, including policy and advocacy considerations for the future of DBS, connectomic approaches to DBS targeting, developments in electrophysiology and related strides toward responsive DBS systems, and recent developments in sensor and device technologies.

Document Type

Article

Publication Date

4-6-2016

Notes/Citation Information

Published in Frontiers in Neuroscience, v. 10, article 119, p. 1-15.

Copyright © 2016 Rossi, Gunduz, Judy, Wilson, Machado, Giordano, Elias, Rossi, Butson, Fox, McIntyre, Pouratian, Swann, de Hemptinne, Gross, Chizeck, Tagliati, Lozano, Goodman, Langevin, Alterman, Akbar, Gerhardt, Grill, Hallett, Herrington, Herron, van Horne, Kopell, Lang, Lungu, Martinez-Ramirez, Mogilner, Molina, Opri, Otto, Oweiss, Pathak, Shukla, Shute, Sheth, Shih, Steinke, Tröster, Vanegas, Zaghloul, Cendejas-Zaragoza, Verhagen, Foote and Okun.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Due to the large number of authors, only the first 30 and the authors affiliated with the University of Kentucky are listed in the author section above. For the complete list of authors, please download this article.

Digital Object Identifier (DOI)

https://doi.org/10.3389/fnins.2016.00119

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