Brain Network Modulation via Linking Rules
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Solution Overview
Problem
Current neuromodulation techniques for treating central nervous system disorders often fail to account for the interactions and connectivity within brain networks, leading to inadequate treatment outcomes and side effects, as they primarily focus on stimulating specific isolated regions without considering the broader network dynamics.
Innovation Solution
The development of a neuromodulation system that utilizes linking rules to adjust stimulation in one brain region based on the activity of another, taking into account the connectivity and interactions within brain networks, to modulate multiple regions and rebalance their activation levels, thereby compensating for the cascade effects within the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional neuromodulation techniques stimulate specific isolated brain regions, then the treatment can be applied with simpler devices and protocols, but the treatment effectiveness is insufficient and side effects occur due to ignoring network dynamics
Solution Approach 1:
The patent segments the brain network into multiple target regions that are stimulated independently but coordinated. Each region can be targeted with specific stimulation parameters while the overall system manages the network-level interactions through linking rules that connect stimulation across segmented regions.
Solution Approach 2:
The neuromodulation system is designed to perform multiple functions: it can target individual brain regions for localized effects while simultaneously coordinating stimulation across multiple regions to achieve network-level modulation. The system adapts its operation based on whether single-region or multi-region targeting is most beneficial for the patient's condition.
2Ease of operation
If neuromodulation focuses on single isolated brain regions, then the stimulation protocol is simpler to implement, but treatment resistance develops and side effects increase due to cascade effects in the network
Solution Approach 1:
The system implements feedback mechanisms where stimulation in one region is adjusted based on measured activity in connected regions. Linking rules establish feedback loops that monitor network responses and dynamically adjust stimulation parameters across multiple regions to maintain therapeutic effectiveness and minimize side effects.
Solution Approach 2:
The system applies preliminary anti-action by using linking rules to anticipate and counteract potential harmful cascade effects before they occur. When stimulation in one region is detected to potentially cause adverse effects in connected regions, the system pre-adjusts stimulation parameters or activates compensatory stimulation in opposing network regions.
3Reliability
If multiple brain regions are modulated to account for network dynamics, then treatment effectiveness improves and side effects are reduced, but the system complexity and coordination requirements increase
Solution Approach 1:
The system employs dynamic coordination of multi-region stimulation where stimulation parameters, timing, and intensity are continuously adjusted based on real-time network activity measurements. The linking rules enable flexible, adaptive coordination that responds to changing brain states rather than relying on fixed static protocols.
Solution Approach 2:
The neuromodulation system implements periodic stimulation patterns across multiple brain regions, using rhythmic or cyclic stimulation sequences that can synchronize network activity. Periodic action allows the system to coordinate complex multi-region interactions through repetitive, predictable patterns that are easier to manage than continuous variable stimulation.
Data Source
AI summary
The present invention involves methods and systems for treatment of brain disorders using neuromodulation of brain networks. Treatment of one or more brain networks associated with a brain disorder is realized with a consideration of network dynamics and coupling effects such as indirect stimulation of non-target regions. A brain modulation system (BMS) increases, decreases, or otherwise modulates network regional activity in a differential manner. Therapy may aim to maintain electrical or chemical (relative) characteristics within a specified range. Therapy is initiated/adjusted using network functional imaging data including the use of brain network modeling. Linking rules may guide in the setting and subsequent adjusting of the therapy related to regions of brain network. Novel techniques are described for deterring the emergence of neural adaptation and of unintentional/indirect modulation arising from connectivity between network structures.