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Personalized tDCS for Focal Epilepsy-A Narrative Review: A Data-Driven Workflow Based on Imaging and EEG Data
Steven Beumer1, Paul Boon1,2, Debby C W Klooster1,2
1Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
Brain Sciences
|May 28, 2022
Summary
Personalized transcranial electrical stimulation (tES) uses subject-specific simulations to improve targeting for focal epilepsy. This approach enhances electric field application for more effective treatments and better clinical outcome correlations.
Area of Science:
- Neuroscience
- Medical Engineering
- Computational Biology
Background:
- Conventional transcranial electrical stimulation (tES) lacks precision in targeting specific brain regions due to standardized electrode placement and current levels.
- Suboptimal electric field application in tES can lead to reduced treatment efficacy.
- Advancements in electric field characterization and subject-specific simulations offer potential for improved tES precision.
Purpose of the Study:
- To present a processing workflow for personalizing transcranial electrical stimulation (tES) for focal epilepsy treatment.
- To enable the correlation of simulated electric fields with clinical outcomes in epilepsy patients.
- To review and analyze the literature supporting the steps involved in personalized tES.
Main Methods:
- Utilizing clinical imaging and electroencephalography (EEG) data for subject-specific modeling.
- Implementing a workflow involving tissue segmentation, source localization, and stimulation optimization.
- Analyzing existing literature on segmentation quality and tissue conductivity measurements.
Main Results:
- A processing workflow for personalized tES in focal epilepsy has been established.
- The workflow allows for the calculation of personalized tES metrics such as focality and electric field strength.
- The methodology facilitates the correlation between simulated electric fields and observed clinical outcomes.
Conclusions:
- Personalized tES, guided by subject-specific simulations, offers a more targeted and potentially effective approach for focal epilepsy.
- The presented workflow provides a framework for optimizing tES parameters and relating them to treatment success.
- Further research is needed to address challenges in segmentation quality and conductivity measurements for enhanced personalization.
