Dual-Modal Electrodes for Dynamic Voltage Gradient Control
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Solution Overview
Problem
Current methods for neuromodulation in treating neurodegenerative disorders and dysfunctional sleep patterns are inadequate, particularly in addressing abnormalities in the frontal-striatal circuit and white matter integrity, which are linked to conditions like Alzheimer's and Parkinson's diseases, as they fail to effectively modulate neuronal activity and myelination across the brain.
Innovation Solution
The use of voltage-gradient geometries generated by a dual-functioned electrode system that modulates waveform parameters to create specific voltage gradients across neuronal tracts, optimizing the geometry of these gradients to enhance or inhibit physiological responses, thereby improving neuronal activity and connectivity in the brain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional neuromodulation methods are used, then treatment simplicity is maintained, but effectiveness in modulating neuronal activity and myelination is insufficient
Solution Approach 1:
The electrode array is divided into multiple independently controllable electrodes distributed across the scalp. Each electrode can be individually stimulated to generate focused voltage gradients in specific brain regions, enabling precise modulation of neuronal activity in targeted areas while maintaining overall system manageability through modular design.
Solution Approach 2:
The system dynamically adjusts stimulation parameters including voltage gradient magnitude, duration, and spatial distribution in real-time based on feedback from EEG and imaging biomarkers. This adaptive capability allows optimization of neuronal modulation effectiveness during treatment sessions, responding to individual patient responses and progress.
2Reliability
If voltage-gradient geometries are optimized to enhance fractional anisotropy in frontal-striatal circuits, then neuronal connectivity is improved, but treatment duration and energy consumption increase
Solution Approach 1:
The neuromodulation treatment employs periodic stimulation cycles with varying intensity and duration patterns. Voltage gradients are applied in alternating phases, with rest intervals between stimulation cycles, allowing the brain to process and integrate the modulation effects while preventing excessive energy consumption. The periodic nature enables cumulative improvement in fractional anisotropy over multiple sessions.
Solution Approach 2:
The system varies multiple stimulation parameters including voltage gradient amplitude, frequency, duration, and spatial configuration to optimize the balance between treatment effectiveness and duration. By adjusting these parameters dynamically, the system achieves significant improvements in fractional anisotropy values while controlling total treatment time and energy requirements.
3Measurement precision
If dual-functioned electrodes are used to generate voltage gradients, then precision in neuronal modulation is improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The electrode array is designed with dual functionality, serving both as a stimulation device for generating voltage gradients and as a sensing device for recording EEG signals. This multi-functionality is achieved through integrated circuitry and electrode structures that can both deliver current and detect electrical activity, reducing the need for separate components and simplifying the overall device while maintaining high precision in voltage gradient control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively increases fractional anisotropy values in frontal-striatal circuits, reduces dysfunctional sleep patterns, and enhances metabolic activity in the frontal cortex, leading to improved sleep quality and reduced symptoms of neurodegenerative disorders by optimizing voltage gradient geometries based on EEG and imaging biomarkers.
Implementation Method 1
generating voltage-gradient geometries in biological tissue... create specific voltage gradients across neuronal tracts
Implementation Method 2
modulates waveform parameters to create specific voltage gradients... optimizing the geometry of these gradients
Data Source
AI summary
An invention and method that generate dynamical shaped voltage-gradient geometries through a plurality of dual-modal electrode-contacts placed around the biological tissue in vivo. The geometry of the voltage gradient is optimized through a feedback mechanism from the plurality of dual-modal electrode-contacts that can record electric and magnetic field potentials in the biological tissue. A control controls the waveform signal between sets of electrode-contacts to generate dynamically shaped voltage gradients to modulate a specific set of properties in the biological tissue. A method of analysis for the recorded electric and magnetic field potentials is purposed to optimize the shape of the voltage-gradient geometry through modulation of the waveform signal that is sent through the dual-modal electrode-contacts.