Population-optimized electrode montage approximates individualized optimization in transcranial temporal interference...

Area of Science:

• Neuroscience
• Medical Engineering
• Computational Biology

Background:

• Optimizing transcranial temporal interference stimulation (tTIS) electrode configuration is crucial for accurate deep brain targeting.
• Individualized MRI-based analysis offers precision but is clinically impractical due to high costs.
• Population-based analysis presents a potential alternative for optimizing tTIS montages.

Purpose of the Study:

• To evaluate the feasibility of group-level electric field analysis for optimizing tTIS montages.
• To maximize intracranial electric field strength using a population-proxy approach.
• To compare the efficacy of population-based optimization against individualized electric field optimization.

Main Methods:

• Optimizing tTIS montages across diverse populations to balance focality and electric field strength.
• Comparing population-based montage optimization with conventional individualized methods.
• Analyzing the impact of population size and age on montage selection and effectiveness.

Main Results:

• Population-based optimization achieved comparable focality and targeting accuracy to individualized analysis (up to 17% difference).
• Age mismatch reduced focality by up to 8.3%; negligible inconsistencies observed for populations >40.
• Population size is critical for consistent montage optimization.

Conclusions:

• Population-based electric field analysis effectively matches individualized targeting in focality and intensity.
• This method eliminates the need for patient-specific MRI scans, improving tTIS accessibility.
• The approach enhances the practicality of tTIS for broader research and clinical applications.