Closed-loop neuromodulation in an individual with treatment-resistant depression

被引:0
|
作者
Katherine W. Scangos
Ankit N. Khambhati
Patrick M. Daly
Ghassan S. Makhoul
Leo P. Sugrue
Hashem Zamanian
Tony X. Liu
Vikram R. Rao
Kristin K. Sellers
Heather E. Dawes
Philip A. Starr
Andrew D. Krystal
Edward F. Chang
机构
[1] University of California,Weill Institute for Neurosciences
[2] University of California,Department of Psychiatry
[3] San Francisco,Department of Neurosurgery
[4] University of California,Department of Radiology
[5] San Francisco,Department of Neurology
[6] University of California,undefined
[7] San Francisco,undefined
[8] University of California,undefined
[9] San Francisco,undefined
来源
Nature Medicine | 2021年 / 27卷
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摘要
Deep brain stimulation is a promising treatment for neuropsychiatric conditions such as major depression. It could be optimized by identifying neural biomarkers that trigger therapy selectively when symptom severity is elevated. We developed an approach that first used multi-day intracranial electrophysiology and focal electrical stimulation to identify a personalized symptom-specific biomarker and a treatment location where stimulation improved symptoms. We then implanted a chronic deep brain sensing and stimulation device and implemented a biomarker-driven closed-loop therapy in an individual with depression. Closed-loop therapy resulted in a rapid and sustained improvement in depression. Future work is required to determine if the results and approach of this n-of-1 study generalize to a broader population.
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页码:1696 / 1700
页数:4
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