Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study

Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp. However, optimizing electrode configurations for TI via computational modeling is challenging and time-consum...

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Veröffentlicht in:IEEE transactions on neural systems and rehabilitation engineering Jg. 33; S. 1400 - 1410
Hauptverfasser: Geng, Chao, Li, Yang, Li, Long, Zhu, Xiaoqi, Hou, Xiaohan, Liu, Tian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.01.2025
Schlagworte:
Adult
Algorithms
Brain - physiology
Computer Simulation
Deep Brain Stimulation - methods
Electric fields
Electrodes
Electrodes, Implanted
Electroencephalography
Female
Finite element analysis
finite element method
Head
Humans
Image segmentation
Interference
Magnetic resonance imaging
Male
Mathematical models
noninvasive brain stimulation
Optimization
Scalp
Temporal interference (TI) stimulation
ISSN:1534-4320, 1558-0210, 1558-0210
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Abstract Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp. However, optimizing electrode configurations for TI via computational modeling is challenging and time-consuming due to the non-convex nature of the optimization. We propose a convex optimization-based method (CVXTI) for optimizing TI electrode configurations. We decompose the TI optimization into two convex steps, enabling rapid determination of electrode pair configurations. CVXTI accommodates various optimization objectives by incorporating different objective functions, thereby enhancing the focality of the stimulation field. Performance analysis of CVXTI shows superior results compared to other methods, particularly in deep brain regions. Subject variability analysis on four individuals highlights the necessity of customized stimulus optimization. CVXTI leverages the distribution characteristics of the TI envelope electric field to optimize electrode configurations, enhancing the optimization efficiency.
AbstractList Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp. However, optimizing electrode configurations for TI via computational modeling is challenging and time-consuming due to the non-convex nature of the optimization. We propose a convex optimization-based method (CVXTI) for optimizing TI electrode configurations. We decompose the TI optimization into two convex steps, enabling rapid determination of electrode pair configurations. CVXTI accommodates various optimization objectives by incorporating different objective functions, thereby enhancing the focality of the stimulation field. Performance analysis of CVXTI shows superior results compared to other methods, particularly in deep brain regions. Subject variability analysis on four individuals highlights the necessity of customized stimulus optimization. CVXTI leverages the distribution characteristics of the TI envelope electric field to optimize electrode configurations, enhancing the optimization efficiency.
Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp. However, optimizing electrode configurations for TI via computational modeling is challenging and time-consuming due to the non-convex nature of the optimization. We propose a convex optimization-based method (CVXTI) for optimizing TI electrode configurations. We decompose the TI optimization into two convex steps, enabling rapid determination of electrode pair configurations. CVXTI accommodates various optimization objectives by incorporating different objective functions, thereby enhancing the focality of the stimulation field. Performance analysis of CVXTI shows superior results compared to other methods, particularly in deep brain regions. Subject variability analysis on four individuals highlights the necessity of customized stimulus optimization. CVXTI leverages the distribution characteristics of the TI envelope electric field to optimize electrode configurations, enhancing the optimization efficiency.Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp. However, optimizing electrode configurations for TI via computational modeling is challenging and time-consuming due to the non-convex nature of the optimization. We propose a convex optimization-based method (CVXTI) for optimizing TI electrode configurations. We decompose the TI optimization into two convex steps, enabling rapid determination of electrode pair configurations. CVXTI accommodates various optimization objectives by incorporating different objective functions, thereby enhancing the focality of the stimulation field. Performance analysis of CVXTI shows superior results compared to other methods, particularly in deep brain regions. Subject variability analysis on four individuals highlights the necessity of customized stimulus optimization. CVXTI leverages the distribution characteristics of the TI envelope electric field to optimize electrode configurations, enhancing the optimization efficiency.
Author Hou, Xiaohan
Li, Long
Li, Yang
Liu, Tian
Zhu, Xiaoqi
Geng, Chao
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Snippet Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight...
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SubjectTerms Adult
Algorithms
Brain - physiology
Computer Simulation
Deep Brain Stimulation - methods
Electric fields
Electrodes
Electrodes, Implanted
Electroencephalography
Female
Finite element analysis
finite element method
Head
Humans
Image segmentation
Interference
Magnetic resonance imaging
Male
Mathematical models
noninvasive brain stimulation
Optimization
Scalp
Temporal interference (TI) stimulation
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Title Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study
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