Closed-Loop Transcranial Stimulation with EEG Feedback
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Solution Overview
Problem
Current brain stimulation technologies are primarily feedforward systems, lacking the ability to adapt to real-time brain activity, which limits their effectiveness in controlling dynamics in the cerebral cortex and treating neurological disorders.
Innovation Solution
A cortical stimulation device that combines transcranial alternating current stimulation (tACS) with EEG feedback to dynamically adjust stimulation based on simultaneously recorded brain activity, using a closed-loop system to suppress or modulate cortical oscillations in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If feedforward stimulation systems with preprogrammed waveforms are used, then device complexity is reduced and ease of operation is improved, but adaptability to real-time brain activity deteriorates and effectiveness in controlling cortical dynamics is limited
Solution Approach 1:
The patent implements a closed-loop feedback system where EEG signals are continuously recorded from the subject's brain, processed to detect cortical oscillations, and used to dynamically adjust tACS stimulation parameters in real-time. This feedback mechanism enables the system to adapt stimulation based on actual brain state, resolving the contradiction between operational simplicity and adaptability.
Solution Approach 2:
The system transitions from static preprogrammed waveforms to dynamic, real-time adaptable stimulation. The tACS waveform parameters (frequency, amplitude, phase) are continuously adjusted based on detected cortical oscillations, making the system dynamically responsive to changing brain states while maintaining ease of operation through automated control.
2Adaptability or versatility
If closed-loop feedback systems with real-time EEG processing are implemented, then adaptability to brain activity is improved and cortical control effectiveness is enhanced, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single unified platform: EEG signal acquisition, real-time spectral analysis, feedback processing, and tACS waveform generation are all combined in one device. This multi-functionality reduces overall system complexity compared to separate independent systems while maintaining advanced adaptability.
Solution Approach 2:
The system performs automated real-time processing of EEG signals to detect cortical oscillations and automatically adjusts stimulation parameters without requiring continuous manual intervention. The closed-loop feedback mechanism operates autonomously, reducing the operational burden despite increased technical complexity.
3Ease of manufacture
If preprogrammed stimulation waveforms are used, then manufacturing and programming simplicity is maintained, but effectiveness in treating neurological disorders with varying brain states deteriorates
Solution Approach 1:
The system uses real-time EEG feedback to detect cortical oscillations and dynamically adjusts tACS stimulation parameters accordingly. This ensures the stimulation remains effective across varying brain states and neurological conditions, resolving the contradiction between manufacturing simplicity and treatment effectiveness.
Solution Approach 2:
The system dynamically changes stimulation parameters (frequency, amplitude, phase) based on detected cortical oscillations rather than using fixed preprogrammed waveforms. This parameter adaptability maintains treatment effectiveness across different neurological disorders and brain states while the underlying hardware remains relatively simple to manufacture.
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 controls cortical state dynamics, as demonstrated by suppressing alpha power fluctuations induced by eye opening and closing, and shows greater efficacy than traditional feedforward stimulation methods, potentially offering targeted and individualized treatment for psychiatric illnesses.
Implementation Method 1
a detection module configured to detect cortical oscillations in a subject
Implementation Method 2
a generation module configured to generate an oscillating electric current
Implementation Method 3
an OEC passing module configured to pass oscillating electric current through the skull of the subject
Data Source
Figure 1a
Figure 1b
Figure 2a~2b
AI summary
The present invention provides methods, devices and systems for transcranial stimulation.