rTMS Pulse Frequency Optimization via EEG Settling Time

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Solution Overview

Problem

Current repetitive transcranial magnetic stimulation (rTMS) treatments use fixed pulse frequencies, which may not be optimized for individual brain resonance, leading to suboptimal therapeutic effects.

Innovation Solution

Adjusting the magnetic pulse frequency of rTMS based on the settling time of EEG oscillations following each pulse train to maximize resonance, using a method that involves setting an initial frequency, recording baseline and post-pulse train EEG, measuring settling time, and adjusting the frequency using optimization algorithms to achieve a global or local maximum settling time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If fixed pulse frequency is used in rTMS treatment, then treatment protocol is simple and easy to implement, but therapeutic effect is suboptimal because it does not align with individual brain resonance frequency

Engineering Contradiction:
Improvetreatment protocol simplicityVSAvoidtherapeutic effect
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent implements dynamic frequency adjustment by continuously measuring EEG oscillation settling time during the treatment session and adjusting the pulse frequency in real-time to track the brain's resonant frequency, transforming the static fixed-frequency approach into a dynamic adaptive system that responds to individual neural characteristics

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses EEG recording to measure the settling time of brain oscillations following each pulse train, feeds this information back to the frequency control mechanism, and adjusts the pulse frequency accordingly to maximize resonance, creating a closed-loop control system that optimizes therapeutic effect

Inventive Principle:
Principle #23Feedback

2Reliability

If pulse frequency is adjusted dynamically to maximize settling time, then therapeutic effect is optimized by aligning with brain resonance, but treatment complexity increases due to real-time EEG monitoring and frequency adjustment

Engineering Contradiction:
Improvetherapeutic effectVSAvoidtreatment system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system enables the brain to self-regulate the treatment parameters by using the brain's own EEG oscillations as the feedback signal, allowing the neural system itself to determine the optimal frequency through its natural resonant response rather than requiring external complex control algorithms

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the operating parameter (pulse frequency) based on measured system response (EEG settling time), dynamically adjusting the frequency parameter to match the brain's resonant characteristics and maximize therapeutic effect while maintaining treatment adaptability

Inventive Principle:
Principle #35Parameter changes

3Reliability

If pulse frequency matches IAF or heart rate harmonics, then therapeutic benefit is enhanced, but determining optimal frequency requires additional measurements and calculations

Engineering Contradiction:
Improvetherapeutic benefitVSAvoidoptimal frequency determination
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system continuously monitors EEG oscillations during treatment and uses the settling time measurement as feedback to automatically adjust frequency, eliminating the need for separate pre-treatment frequency determination procedures

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs frequency optimization during the treatment session itself rather than requiring preliminary frequency determination, using real-time EEG feedback to guide frequency adjustment throughout the course of treatment

Inventive Principle:
Principle #10Preliminary action

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 enhances the efficacy of rTMS treatments by prolonging the 'ringing effect' of brain oscillations, allowing for more effective treatment of various mental and physical disorders, including Autism Spectrum Disorder, Alzheimer's, ADHD, and depression, by aligning pulse frequency with the brain's resonant frequency.

Implementation Method 1

rTMS uses high energy magnetic pulses from a magnetic field generator that is positioned close to a person's head, so that the magnetic pulses affect a desired treatment region within the brain

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

Modeling the brain as a resonant system, a pulse train where the pulse frequency matches the resonant frequency of the system will result in a longer settling time after the pulse train ends

Methodology Applied
Scientific EffectResonance: Resonance

Implementation Method 3

The brain's neural oscillations arise from synchronous and coherent electrical activity, and can be recorded using an electroencephalogram (EEG)

Methodology Applied
Scientific EffectElectrical activity detection:

Data Source

PatentUS10420953B2RTMS pulse frequency optimization
Publication Date: 2019.09.24 WAVE NEUROSCIENCE INC
  • US10420953B2 patent drawing
  • US10420953B2 patent drawing
  • US10420953B2 patent drawing

AI summary

Repetitive Transcranial Magnetic Stimulation (rTMS) is administered at a pulse frequency that is optimized with respect to settling time of the EEG oscillations, measured at the pulse frequency. Pulse frequency is adjusted following each pulse train to achieve a maximum settling time. A device is disclosed which is configured to allow for magnetic pulse frequency optimization.