.png){kind=icon}
返回
SAFE-OPT: a Bayesian optimization algorithm for learning optimal deep brain stimulation parameters with safety constraints
.png){kind=icon}
OA
AI
DOI：10.1088/1741-2552/ad6cf3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Objective. To treat neurological and psychiatric diseases with deep brain stimulation (DBS), a trained clinician must select parameters for each patient by monitoring their symptoms and side-effects in a months-long trial-and-error process, delaying optimal clinical outcomes. Bayesian optimization has been proposed as an efficient method to quickly and automatically search for optimal parameters. However, conventional Bayesian optimization does not account for patient safety and could trigger unwanted or dangerous side-effects. Approach. In this study we develop SAFE-OPT, a Bayesian optimization algorithm designed to learn subject-specific safety constraints to avoid potentially harmful stimulation settings during optimization. We prototype and validate SAFE-OPT using a rodent multielectrode stimulation paradigm which causes subject-specific performance deficits in a spatial memory task. We first use data from an initial cohort of subjects to build a simulation where we design the best SAFE-OPT configuration for safe and accurate searching in silico. Main results. We then deploy both SAFE-OPT and conventional Bayesian optimization without safety constraints in new subjects in vivo, showing that SAFE-OPT can find an optimally high stimulation amplitude that does not harm task performance with comparable sample efficiency to Bayesian optimization and without selecting amplitude values that exceed the subject's safety threshold. Significance. The incorporation of safety constraints will provide a key step for adopting Bayesian optimization in real-world applications of DBS.
Keyword:
neuromodulation
optimization
hippocampus
data-driven
real-time
期刊
IF:
3.8
论文数:
4.0K
被引数:
1.4W
机构
引用论文
Multi-objective data-driven optimization for improving deep brain stimulation in Parkinson's disease多目标数据驱动优化改善帕金森病脑深部电刺激OAAI
OAAI分享收藏Evidence supporting deep brain stimulation of the medial septum in the treatment of temporal lobe epilepsy.png)
EPILEPSIA
EPILEPSIAIF6.6
PREAI
分享收藏Deep brain stimulation for refractory major depressive disorder: a comprehensive reviewMOLECULAR PSYCHIATRY
MOLECULAR PSYCHIATRYIF10.1
PREAI
分享收藏Bayesian optimization of peripheral intraneural stimulation protocols to evoke distal limb movementsOAAI
OAAI分享收藏Optimizing Deep Brain Stimulation Parameters in Obsessive-Compulsive Disorder强迫症深部脑刺激参数的优化NEUROMODULATION
OAAI
NEUROMODULATIONIF3.5
OAAI分享收藏
查看更多内容