OSCR

Mapping the Global Trajectory and Key Trends of Temporal Interference Stimulation.

Overview

Authors: Li Qi1,2, Zhishun Gao1, Xiaomin Pan1, Jin Li1, Yue Yu1, Kai Wang1,3,4,5,6,7, Qianqian Li2,3,4,5,6,7, Tongjian Bai1,3,4,5,6,7
ORCID iDs: Li Qi
  1. Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
  2. Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China
  3. The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China
  4. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
  5. Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230032, China
  6. Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230032, China
  7. Anhui Institute of Translational Medicine, Hefei 230032, China
Journal: Bioengineering (Basel, Switzerland), volume 13, issue 7, article 741
Dates: received 24 March 2026; accepted 24 June 2026; published online 25 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/bioengineering13070741 · PMID 42510407 · PMCID PMC13403437 · OpenAlex W7167268066
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: human (organism), clinical / translational (subfield)
Methods: Machine learning
Keywords: temporal interference stimulation, neural engineering, biophysical modeling, electric field dosimetry, optimization strategies
Topic: Neurological disorders and treatments (Neurology, Medicine), according to OpenAlex
Funding: National Natural Science Foundation of China (82571765, 82001429, 82090034, U23A20424); Natural Science Research Project of Anhui Educational Committee (China) (2025AHGXZK30780); National Key Research and Development Program (2021YFC3300500, 2021YFC3300504); Anhui Province Clinical Medical Research Transformation Special Project (202204295107020006, 202204295107020065, 202204295107020028); Key Research and Development Program of the Anhui Province (202204295107020005); Anhui Province Translational Medicine Research Institute Project (2023zhyx-C76)
Citations: not cited yet (Europe PMC); 74 references in the paper

Abstract

Since its inception in 2017, temporal interference stimulation (TIS) has attracted increasing attention as a novel neuromodulation approach with the potential to non-invasively target deep brain structures. As the field moves from initial biophysical validation toward broader experimental and translational applications, a macroscopic understanding of its developmental trajectory and thematic evolution is needed. In this study, we systematically mapped the scientific landscape of TIS research using bibliometric methods to characterize its knowledge structure, core themes, and emerging frontiers. The analysis shows that TIS research has expanded rapidly from foundational animal studies and biophysical mechanism validation toward computational head modeling, individualized electric field optimization, and early human applications. Current research is increasingly focused on cross-species scaling, stimulation dosimetry, comparative advantages over other neuromodulation techniques, precise targeting strategies, and potential physiological risks such as high-frequency conduction block. Overall, TIS is evolving from an exploratory biophysical concept into a promising but technically and physiologically complex neuromodulation tool. Overcoming current engineering and translational barriers, particularly through individualized modeling, rigorous optimization, and well-designed human studies, will be essential for establishing TIS as a reliable therapeutic intervention.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data Availability Statement

The datasets and code used and/or analysed during the current study are available from the corresponding authors on reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 5 keywords, 6 funders, 74 references.

Cite

This paper

Qi, L., Gao, Z., Pan, X., Li, J., Yu, Y., Wang, K., Li, Q., & Bai, T. (2026). Mapping the Global Trajectory and Key Trends of Temporal Interference Stimulation. Bioengineering (Basel, Switzerland), 13(7), 741. https://doi.org/10.3390/bioengineering13070741

BibTeX

@article{qi2026mapping,
author = {Qi, Li and Gao, Zhishun and Pan, Xiaomin and Li, Jin and Yu, Yue and Wang, Kai and Li, Qianqian and Bai, Tongjian},
title = {{Mapping the Global Trajectory and Key Trends of Temporal Interference Stimulation}},
journal = {Bioengineering (Basel, Switzerland)},
year = {2026},
month = jun,
volume = {13},
number = {7},
pages = {741},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2306-5354},
doi = {10.3390/bioengineering13070741},
url = {https://doi.org/10.3390/bioengineering13070741},
pmid = {42510407},
pmcid = {PMC13403437}
}

RIS

TY - JOUR
AU - Qi, Li
AU - Gao, Zhishun
AU - Pan, Xiaomin
AU - Li, Jin
AU - Yu, Yue
AU - Wang, Kai
AU - Li, Qianqian
AU - Bai, Tongjian
TI - Mapping the Global Trajectory and Key Trends of Temporal Interference Stimulation
T2 - Bioengineering (Basel, Switzerland)
J2 - Bioengineering (Basel)
PY - 2026
DA - 2026/06/25
VL - 13
IS - 7
SP - 741
SN - 2306-5354
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/bioengineering13070741
UR - https://doi.org/10.3390/bioengineering13070741
LA - en
ER -

CSL-JSON

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"container-title": "Bioengineering (Basel, Switzerland)",
"author": [
{
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"ISSN": "2306-5354",
"publisher": "Multidisciplinary Digital Publishing Institute (MDPI)",
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"language": "en",
"issued": {
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