Closed-Loop Biomarker Therapy for Movement Disorders
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Solution Overview
Problem
Current treatments for neurological movement disorders, such as Parkinson's disease, face challenges in effectively managing symptoms due to the complexity of abnormal brain oscillations and variability in patient responses to therapies like electrical stimulation and drug infusion, which often require personalized and adaptive approaches.
Innovation Solution
The development of an implantable medical device system that measures and utilizes biomarkers based on oscillatory activity in specific frequency ranges to provide closed-loop feedback control for therapy delivery, allowing for hemisphere-specific stimulation and adaptive adjustment of treatment parameters to optimize symptom relief.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electrical stimulation and drug infusion therapies are used to treat neurological movement disorders, then symptom management is provided, but patient responses vary significantly requiring personalized and adaptive approaches
Solution Approach 1:
The patent implements closed-loop feedback control by continuously monitoring biomarkers (oscillatory activity in specific frequency ranges) and using this information to automatically adjust therapy delivery parameters. This feedback mechanism enables the system to adapt to individual patient responses in real-time, resolving the contradiction between providing reliable treatment and accommodating personalized needs.
Solution Approach 2:
The system dynamically adjusts therapy parameters based on real-time biomarker measurements, transitioning from static treatment protocols to adaptive, patient-specific delivery. This dynamic approach allows the therapy to evolve with changing patient conditions, simultaneously improving reliability through data-driven decisions and adaptability through automated parameter modification.
2Measurement precision
If closed-loop feedback control is implemented to provide personalized therapy, then treatment precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses on specific biomarkers (oscillatory activity in defined frequency ranges) rather than attempting to process all possible neurological signals. This selective approach to measurement maintains high therapy precision by targeting the most relevant physiological indicators while reducing device complexity by limiting the scope of monitoring and processing requirements.
3Reliability
If real-time biomarker monitoring is used to adjust therapy delivery, then symptom management is optimized, but energy consumption increases
Solution Approach 1:
The system employs periodic monitoring and adjustment cycles rather than continuous operation at full capacity. By measuring biomarkers and adjusting therapy parameters in periodic intervals, the system maintains optimized symptom management while significantly reducing average energy consumption compared to continuous real-time adjustment, thus resolving the contradiction between treatment reliability and energy usage.
Data Source
AI summary
A method, apparatus, and system for treating patients suffering from movement disorders having the ability to determine one or more biomarkers indicative of a disease state. In some embodiments, the biomarker may be used as a closed-loop feedback signal to control the delivery of therapy (such as electrical stimulation or drug therapy), and which may also be used as an indication of therapy effectiveness. One embodiment uses electrodes placed in the brain to measure EEG or local field potential (LFP) signals, from which the one or more biomarkers may be determined.