Ivanov, B. orcid.org/0009-0005-9188-0705, Toth, J., Mandali, A. et al. (2 more authors) (Accepted: 2025) Beyond the surface: A review of transcranial temporal interference stimulation for deep brain modulation. Frontiers in Neurology. ISSN: 1664-2295 (In Press)
Abstract
Temporal Interference (TI) stimulation has emerged as a novel, non-invasive technique for selectively modulating deep brain regions while minimising stimulation of superficial cortical layers, addressing key limitations of traditional transcranial electrical stimulation (tES) methods. This review systematically examines advancements in TI research from June 2017 to December 2024, encompassing safety evaluations, computational modelling (including Finite Element Method simulations), and stimulation-parameter optimisation. The paper synthesises 63 publications on the efficacy of TI in deep brain neuromodulation, its optimisation strategies, and emerging methodologies aimed at improving stimulation precision and reducing off-target effects. Furthermore, the review explores the clinical applications of TI, particularly its potential in treating neurological disorders such as epilepsy, Parkinson's disease, and cognitive impairments. Despite its promise, challenges remain, including variability in stimulation outcomes, the need for individualised treatment protocols, and gaps in understanding the long-term effects of TI. By consolidating current knowledge and identifying future research priorities, this review provides a comprehensive perspective on the transformative potential of TI stimulation in neuroscience and clinical neurotherapeutics.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 Ivanov, Toth, Mandali, Salvati and Arvaneh. |
Keywords: | Non-invasive deep brain stimulation; Temporal Interference Stimulation; Interferential stimulation; interfering electric fields; temporal interference stimulation (TIS); interferential current stimulation; transcranial temporal interference stimulation (tTIS) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council 2884307 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Aug 2025 13:33 |
Last Modified: | 15 Aug 2025 13:33 |
Published Version: | https://www.frontiersin.org/journals/neurology/art... |
Status: | In Press |
Publisher: | Frontiers Media |
Refereed: | Yes |
Identification Number: | 10.3389/fneur.2025.1661049 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230445 |