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 isolated brain regions without considering the broader network effects.
Innovation Solution
The development of a neuromodulation system that uses 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 network-wide effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional neuromodulation techniques stimulate isolated brain regions, then the treatment can be simpler to implement, but the treatment effectiveness is insufficient due to not accounting for brain network interactions
Solution Approach 1:
The brain network is segmented into multiple target regions that are individually addressable through separate stimulation electrodes. Each region can be independently monitored and stimulated, allowing the system to address specific nodes within the network while accounting for their interconnected nature.
Solution Approach 2:
Multiple stimulation targets within the brain network are combined into a unified treatment approach. The system integrates stimulation of multiple regions simultaneously or in coordinated sequences, treating the network as an interconnected system rather than isolated areas.
Solution Approach 3:
The system incorporates real-time monitoring of neural activity from multiple brain regions and uses this feedback to dynamically adjust stimulation parameters. This closed-loop approach allows the system to respond to changing network states and optimize treatment effectiveness based on actual network interactions.
2Ease of operation
If neuromodulation focuses on a single target region, then the treatment protocol is easier to manage, but side effects occur due to unaccounted network-wide effects
Solution Approach 1:
The treatment protocol is segmented into multiple manageable components, each targeting a specific region within the network. This allows clinicians to systematically adjust and monitor each target's contribution to overall treatment outcomes and side effects.
Solution Approach 2:
The system enables dynamic adjustment of stimulation parameters (intensity, frequency, duration) for each target region based on real-time network activity. This flexibility allows optimization of therapeutic effects while minimizing side effects by adapting to the network's responsive state.
3Adaptability or versatility
If stimulation is provided without considering network connectivity, then the treatment can be applied more broadly, but treatment outcomes are inadequate
Solution Approach 1:
The neuromodulation system is designed with universal applicability to treat various brain disorders by addressing the common underlying principle of network dysregulation. The same system architecture and methodology can be applied across different disorders by identifying and targeting the relevant network regions specific to each condition.
Solution Approach 2:
Real-time feedback from multiple brain regions enables the system to adapt to the specific network characteristics of different disorders and patients, ensuring reliable treatment outcomes through personalized, data-driven adjustment of stimulation parameters.
Data Source
AI summary
The present invention involves methods and systems for treatment of brain disorders using neuromodulation of brain networks. Implantation occurs by selecting sites which modulate the network in selected manners, or are modulated by a stimulus in a particular manner that is relevant to treatment of the network. The candidate locations within a brain region are evaluated in relation to how these are indirectly modulated by stimulation at a different brain region. 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 and electrode locations are adjusted using sensed data and target implantation criteria related to the brain network model. Linking rules be derived during the implantation procedure and used in the subsequent adjusting of the therapy of regions of a brain network.