Microchannel Neural Interface for Selective Axon Signal Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current neural interface technologies are limited in their ability to interact with individual neurons, as they typically access groups of neurons rather than specific ones, making modality-specific applications difficult, especially for rehabilitation and prosthetic control in cases of nerve damage or amputation.
Innovation Solution
A microchannel integrated neural network device with microchannels of diameters matching nerve axons and coaxially oriented tubular electrodes, allowing for direct communication between peripheral nerve axons and electronic controllers, enabling individualized monitoring and control of neural signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional neural interface technologies are used, then the device can access groups of neurons, but it cannot specifically interact with individual neurons for modality-specific applications
Solution Approach 1:
The device divides the neural interface into multiple fascicle-specific channels, with each channel containing electrodes that can selectively record from individual neurons within a specific nerve fascicle. This segmentation allows precise targeting of individual neurons while maintaining manageable device complexity through modular architecture.
Solution Approach 2:
The patent implements local quality by providing different recording capabilities for different nerve fascicles. Each fascicle channel is optimized to record from specific types of neurons (e.g., motor vs. sensory) based on the local functional requirements, enabling modality-specific interactions without requiring the entire device to be optimized for all neuron types.
2Quantity of substance
If multiple electrodes are used to increase the number of neural contacts, then more information can be extracted, but the device complexity and difficulty of implantation increase
Solution Approach 1:
The device employs a nested structure where multiple electrodes are arranged within fascicle-specific channels that are themselves nested within the main device body. This nesting allows a high density of electrode contacts to be achieved in a compact configuration, increasing the quantity of neural contacts while keeping the overall device complexity manageable through hierarchical organization.
3Stability of the object's composition
If nerve regeneration is allowed to occur naturally after surgical repair, then axons will regenerate into the damaged limb, but they are not necessarily guided back to the correct muscle or sensory structure
Solution Approach 1:
The device performs preliminary action by pre-organizing multiple electrodes into fascicle-specific channels before implantation. This pre-organization creates a structured framework that guides regenerating axons into appropriate channels based on their origin fascicle, ensuring they are directed toward correct target structures rather than random reinnervation.
Solution Approach 2:
The fascicle-specific channels act as intermediaries between the severed nerve ends and the target muscles or sensory structures. These channels provide a structured pathway that mediates the regeneration process, guiding axons from specific fascicles to appropriate destinations while the device maintains stable electrical contacts for monitoring and control.
Data Source
AI summary
Neural interfaces with the peripheral nervous system have been developed to provide a direct communication pathway between peripheral nerves and prosthetic limbs. Described herein is a method of making a microchannel integrated neural interface device comprising a plurality of hollow cylindrical electrodes in a PDMS scaffold, which can control the reinnervated muscles and interpret neurological signals. The acquired bioelectrical signals can be used for the interpretation of mind and create a neural map.


