Subject-Specific Energy Mapping for Neuromodulation Targeting
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Solution Overview
Problem
Transcranial Magnetic Stimulation (TMS) effectiveness varies across individuals due to differences in functional neuroanatomy, and there is limited understanding of the spatial distribution of the electric field across brain networks, affecting the extent of stimulation spread to non-targeted areas.
Innovation Solution
A method involving subject-specific energy distribution mapping using computational simulations and finite element modeling to optimize the delivery of neuromodulation therapies by identifying optimal target locations and orientations for energy delivery, minimizing energy on undesired brain networks while maximizing therapeutic effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TMS is applied to treat disorders, then therapeutic effect is achieved, but effectiveness varies across individuals due to differences in functional neuroanatomy
Solution Approach 1:
The system performs preliminary computational simulations and finite element modeling to predict individual-specific energy distribution patterns before actual TMS treatment. This allows optimal target locations and orientations to be determined in advance based on the subject's unique anatomical and functional characteristics, thereby improving treatment reliability while accounting for individual variability
Solution Approach 2:
The invention creates subject-specific energy distribution maps that identify precise local regions within brain networks where energy should be concentrated. By determining optimal target locations and orientations tailored to each individual's functional neuroanatomy, the system ensures that energy delivery is optimized for that specific person's brain organization, resolving the contradiction between consistent effectiveness and individual variability
2Power
If energy delivery is maximized to target brain areas, then therapeutic effect is enhanced, but energy spreads to non-targeted areas causing side effects
Solution Approach 1:
The system uses computational simulations to identify specific local regions within brain networks where energy should be concentrated. By determining precise target locations and orientations that account for individual energy distribution patterns, the system maximizes energy delivery to intended targets while minimizing spread to non-targeted areas, thereby enhancing therapeutic effect without increasing side effects
Solution Approach 2:
The invention employs predictive modeling that simulates energy distribution patterns to provide feedback on where energy will actually go in an individual's brain. This allows optimization of target selection and energy parameters before treatment, ensuring that high energy delivery to targets does not result in harmful stimulation of adjacent non-targeted regions
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 allows for personalized and precise neuromodulation planning, maximizing energy delivery to target brain areas while minimizing it in non-targeted networks, leading to improved treatment efficacy and reduced side effects.
Implementation Method 1
A method involving subject-specific energy distribution mapping using computational simulations and finite element modeling to optimize the delivery of neuromodulation therapies
Implementation Method 2
TMS induces an electric field in a target region related to a behavior of interest to be modulated
Implementation Method 3
Transcranial Magnetic Stimulation (TMS) induces an electric field in a target region
Data Source
AI summary
Subject-specific energy distribution mapping of functional networks is used to inform the planning, guidance, and/or monitoring of neuromodulation, including non-invasive brain stimulation, deep brain stimulation, prefrontal cortical stimulation, intracranial electrical stimulation, focused ultrasound-based neuromodulation, pharmacological-based neuromodulation, or the like.