Brain Organoid Machine Interface for Neural Signal Control
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Solution Overview
Problem
Current methods for studying human brain development and learning primarily focus on postnatal subjects, neglecting the critical neurodevelopmental period in utero, and existing brain organoids lack complex and functional neural network activity resembling early human brain formation.
Innovation Solution
A cortical organoid model is developed to capture the early learning period, incorporating a brain-organoid machine interface with a closed-loop robotic system that provides sensorimotor feedback, using induced pluripotent stem cells to generate functional electrophysiological networks and control devices, and employing multi-electrode arrays to measure and transmit neural signals for device control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If brain organoids are used to study early neurodevelopment, then the critical in utero neurodevelopmental period can be investigated, but existing organoids lack complex and functional neural network activity
Solution Approach 1:
The patent introduces a multi-electrode array (MEA) as an intermediary device that interfaces with the brain organoid culture. The MEA captures voltage change information from the organoid's neural network and transmits it to a processing unit, enabling the study of functional neural activity without directly modifying the organoid's complex structure. This mediator bridges the gap between the organoid's biological complexity and the need for measurable functional output.
Solution Approach 2:
The patent replaces direct mechanical or physical manipulation of the organoid with an electrical signaling system. Instead of physically probing or stimulating the organoid, the system uses electrical fields detected by the MEA to capture and transmit neural activity information, substituting mechanical interaction with electrical measurement and communication.
2Adaptability or versatility
If a brain-organoid machine interface is created, then neural signals can be transmitted to control devices, but the system complexity increases with multiple components
Solution Approach 1:
The processing unit is designed as a universal component that performs multiple functions: receiving voltage change information from the MEA, processing the neural signals, and transmitting control signals to various types of controlled devices. This multi-functional design reduces the need for separate specialized components for each function, thereby managing system complexity while maintaining versatility.
Solution Approach 2:
The patent implements a feedback system where the controlled device sends signals back to the brain organoid culture through the processing unit and MEA. This closed-loop feedback mechanism enables bidirectional communication, allowing the system to adapt and learn from the organoid's responses, thereby enhancing adaptability without requiring entirely separate control and sensing systems.
3Measurement precision
If multi-electrode arrays are used to sense neural activity, then voltage change information can be captured, but the measurement and processing complexity increases
Solution Approach 1:
The patent extracts only the essential voltage change information from the complex neural activity of the brain organoid. The MEA is designed to specifically detect and capture voltage changes (neural signals) while filtering out other biological noise and irrelevant signals. This selective extraction of useful information simplifies the subsequent processing requirements while maintaining measurement precision.
Solution Approach 2:
The processing unit creates a simplified digital representation or copy of the analog voltage change signals from the MEA. By converting the continuous analog neural signals into discrete digital data that can be transmitted and processed, the system maintains the essential information while reducing the complexity of handling and analyzing the raw continuous signals.
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
The model successfully recreates early human brain formation dynamics, enabling the study of experience-dependent learning and neurological activity, and provides a platform for understanding brain development and neurodegenerative disorders through controlled device interaction and high-throughput studies.
Implementation Method 1
a sensor comprising a plurality of electrodes that sense voltage change information including amplitude and/or frequency in the brain organoid culture
Data Source
AI summary
The disclosure provides methods of making and systems comprising a brain organoid operably connected to a controlled device such that the brain organoid controls the controlled device.