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Dose standardization for transcranial electrical stimulation: an accessible approach

Abstract:
Transcranial electrical stimulation (tES) is a widely used non-invasive brain stimulation technique. However, due to high inter-individual variability in the induced electric fields (E-fields), a fixed stimulation current delivers an inconsistent dose. We developed a dose standardization method without the requirement of participant-specific structural imaging and E-field modeling. Robust multiple linear regression models were trained to predict peak E-field strengths across 10 electrode montages and 418 healthy adults. These regression models predicted peak E-field strengths in unseen participants from accessible demographic and morphological parameters. Estimated peak E-field strength values were subsequently used to standardize tES dosages across our population. Additionally, we developed montage-agnostic models which incorporated inter-electrode distances for each participant. Compared to fixed dosing, our approach significantly reduced peak E-field strength variation for conventional montages, though results were inconsistent for high-definition (HD) montages. Models trained on specific montages accounted for 43% of peak E-field strength variability in conventional montages and 21% in HD montages on average. Our montage-agnostic models accounted for 36% and 13% of the average peak E-field strength variability for conventional and HD montages, respectively. These results have been validated across a large dataset, demonstrating robust performance against unseen data, a significant advancement over current approaches.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-025-25649-2

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Sub department:
Experimental Psychology
Role:
Author


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Funder identifier:
https://ror.org/05m7pjf47
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Funder identifier:
https://ror.org/00k4n6c32
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Funder identifier:
https://ror.org/05krs5044


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
15
Issue:
1
Article number:
41791
Publication date:
2025-11-25
Acceptance date:
2025-10-23
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Pubs id:
2338423
UUID:
uuid_79f47ddd-211d-4264-8942-9e46f42850a3
Local pid:
pubs:2338423
Source identifiers:
3506562
Deposit date:
2025-11-25
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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