Evidence map›Paper›PMID 40404843›Full record

ArticleScientific reports2025

Open-source magnetic system for wireless neuromodulations in vitro and for untethered brain stimulation in vivo.

Jun-Xuan Huang, Ping-Hsiang Yen, Chao-Chun Cheng, Yi-Cheng Fang, Po-Han Chiang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Jun-Xuan HuangInstitute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Ping-Hsiang YenInstitute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Chao-Chun ChengInstitute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Yi-Cheng FangInstitute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Po-Han ChiangInstitute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. phc@nycu.edu.tw.

Funding

Academia Sinica AS-HLGC-112-01National Science and Technology Council 110-2636-B-A49-003National Science and Technology Council 112-2636-B-A49-006
6 · The paper itself

Abstract

In recent years, significant advances have been made in magnetic neuromodulation technologies, enabling the manipulation of deep brain neurons without invasive implants. Wireless approaches, such as those leveraging magnetic nanoparticles and magnetosensitive proteins, have gained considerable attention. Among these, methods requiring low magnetic field density (< 50 mT) and low frequencies (< 20 Hz) show promise for broader applications due to their scalability and energy efficiency. However, the lack of cost-effective, user-friendly instruments for in vitro and in vivo experiments has hindered broader adoption. To address this, we demonstrate an open-source magnetic stimulation system that integrates Arduino-based hardware, electromagnetic coils, and real-time feedback sensors to monitor environmental parameters, including temperature, sound, vibration, and magnetic field density. Additionally, the system employs a closed-loop design, enabling adaptive control of magnetic stimulation based on tracking the subject's position and environmental feedback. A Python-based graphical user interface (GUI) allows researchers to design and control stimulation protocols while monitoring feedback signals in real-time. The system includes multiple solenoid designs optimized for diverse applications, such as cell culture studies, fluorescence microscopy, and in vivo behavioral experiments, ensuring compatibility across experimental scales. The stability and versatility of the system were evaluated in multiple behavioral paradigms, including light-dark box and place preference tests. This low-cost, easy-access, and flexible platform can facilitate magnetic neuromodulation research and promote accessibility for basic and translational studies in neuroscience and bioelectronics.

Indexed as

BrainDeep Brain StimulationWireless TechnologyAnimalsMagnetic FieldsMiceArduinoGraphic user interfaceMagnetic neuromodulationMagnetic systemMagnetogeneticsMagnetomechanical stimulationOpen-source.PythonWireless deep brain stimulation

Identifiers

PMID40404843
PMCPMC12098840

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.