| Literature DB >> 35063186 |
Sameer A Sheth1, Kelly R Bijanki2, Brian Metzger2, Anusha Allawala3, Victoria Pirtle2, Joshua A Adkinson2, John Myers2, Raissa K Mathura2, Denise Oswalt2, Evangelia Tsolaki4, Jiayang Xiao2, Angela Noecker5, Adriana M Strutt6, Jeffrey F Cohn7, Cameron C McIntyre5, Sanjay J Mathew8, David Borton3, Wayne Goodman8, Nader Pouratian9.
Abstract
The success of deep brain stimulation (DBS) for treating Parkinson's disease has led to its application to several other disorders, including treatment-resistant depression. Results with DBS for treatment-resistant depression have been heterogeneous, with inconsistencies largely driven by incomplete understanding of the brain networks regulating mood, especially on an individual basis. We report results from the first subject treated with DBS for treatment-resistant depression using an approach that incorporates intracranial recordings to personalize understanding of network behavior and its response to stimulation. These recordings enabled calculation of individually optimized DBS stimulation parameters using a novel inverse solution approach. In the ensuing double-blind, randomized phase incorporating these bespoke parameter sets, DBS led to remission of symptoms and dramatic improvement in quality of life. Results from this initial case demonstrate the feasibility of this personalized platform, which may be used to improve surgical neuromodulation for a vast array of neurologic and psychiatric disorders.Entities:
Keywords: Deep brain stimulation; Depression; Epilepsy; Network; Neuromodulation; Stereo-EEG
Mesh:
Year: 2021 PMID: 35063186 PMCID: PMC9124238 DOI: 10.1016/j.biopsych.2021.11.007
Source DB: PubMed Journal: Biol Psychiatry ISSN: 0006-3223 Impact factor: 12.810