Evidence map›Paper›PMID 33363461›Full record

ArticleFrontiers in neuroinformatics2020

Development of a Non-invasive Deep Brain Stimulator With Precise Positioning and Real-Time Monitoring of Bioimpedance.

Heng Wang, Zhongyan Shi, Weiqian Sun, Jianxu Zhang, Jing Wang, Yue Shi, Ruoshui Yang, Chunlin Li, Duanduan Chen, Jinglong Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  13. Transporting Hydrogel via Chinese Acupuncture Needles for Lesion Positioning Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
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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

12 authors at 3 institutions in 2 countries.

Heng WangSchool of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China.
Zhongyan ShiSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Weiqian SunSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jianxu ZhangSchool of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China.
Jing WangDepartment of Health Management, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China.
Yue ShiBeijing Big-IQ Medical Equipment Co., Ltd., Beijing, China.
Ruoshui YangSchool of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China.
Chunlin LiSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Duanduan ChenSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jinglong WuSchool of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China.
Guo GongyaoSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Yifei XuSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Beijing Institute of Technology · CNCapital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods by which to achieve non-invasive deep brain stimulation via temporally interfering with electric fields have been proposed, but the precision of the positioning of the stimulation and the reliability and stability of the outputs require improvement. In this study, a temporally interfering electrical stimulator was developed based on a neuromodulation technique using the interference modulation waveform produced by several high-frequency electrical stimuli to treat neurodegenerative diseases. The device and auxiliary software constitute a non-invasive neuromodulation system. The technical problems related to the multichannel high-precision output of the device were solved by an analog phase accumulator and a special driving circuit to reduce crosstalk. The function of measuring bioimpedance in real time was integrated into the stimulator to improve effectiveness. Finite element simulation and phantom measurements were performed to find the functional relations among the target coordinates, current ratio, and electrode position in the simplified model. Then, an appropriate approach was proposed to find electrode configurations for desired target locations in a detailed and realistic mouse model. A mouse validation experiment was carried out under the guidance of a simulation, and the reliability and positioning accuracy of temporally interfering electric stimulators were verified. Stimulator improvement and precision positioning solutions promise opportunities for further studies of temporally interfering electrical stimulation.

Indexed as

electrical stimulationfinite element methodmousesimulationtemporally interfering

Identifiers

PMID33363461
PMCPMC7753039
OpenAlexW3112100897

What OpenQuestion 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 OpenQuestion graph.