Evidence map›Paper›PMID 42510407›Full record

ArticleBioengineering (Basel, Switzerland)2026

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

Li Qi, Zhishun Gao, Xiaomin Pan, Jin Li, Yue Yu, Kai Wang, Qianqian Li, Tongjian Bai

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Li QiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Zhishun GaoDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Xiaomin PanDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Jin LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Yue YuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Kai WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Qianqian LiDepartment of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Tongjian BaiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.

Funding

National Natural Science Foundation of China 82001429 and 82090034
6 · The paper itself

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.

Indexed as

biophysical modelingelectric field dosimetryneural engineeringoptimization strategiestemporal interference stimulation

Identifiers

PMID42510407
PMCPMC13403437

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.