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Controlling Clinical States Governed by Different Temporal Dynamics With Closed-Loop Deep Brain Stimulation: A
Gerd Tinkhauser1, Eduardo Martin Moraud2,3
1Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Frontiers in Neuroscience
|December 3, 2021
Summary
Closed-loop deep brain stimulation (cl-DBS) optimizes therapy delivery over time. A new framework enables personalized, multi-objective cl-DBS for diverse patient needs and symptoms.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Neuromodulation
Background:
- Deep brain stimulation (DBS) is a neuromodulation therapy for neurological disorders.
- Current DBS is typically continuous, lacking dynamic adjustment.
- Closed-loop DBS (cl-DBS) offers temporal optimization of stimulation delivery.
Purpose of the Study:
- To propose a conceptual framework for developing advanced cl-DBS therapies.
- To enable personalized and multi-objective cl-DBS for heterogeneous patient profiles.
- To integrate diverse temporal properties of clinical and neurophysiological manifestations.
Main Methods:
- Conceptual framework development for multi-objective therapies.
- Modular organization for optimizing personalization.
- Overview of clinical states, symptoms, and electrophysiological biomarkers.
Main Results:
- A framework for integrating diverse temporal properties in cl-DBS.
- Enables optimization for heterogeneous patient needs and multiple symptoms.
- Facilitates personalized cl-DBS therapy development.
Conclusions:
- The proposed integrative framework guides future cl-DBS development.
- It supports next-generation precision medicine instruments for neurological disorders.
- A modular approach enhances personalization for improved therapeutic outcomes.
