Magnetic‐Driven Torque‐Induced Electrical Stimulation for Millisecond‐Scale Wireless Neuromodulation

Wireless neuromodulation using nanoparticles, offering minimally invasive alternatives to conventional deep brain stimulation (DBS) while reducing the risks associated with hardware implants, has gained significant traction over the past decade. Nevertheless, ensuring millisecond-scale wireless DBS for the precise temporal control of neuronal activity remains challenging. This study reports magnetic-driven torque-induced electrical stimulation (MagTIES), a torque-based magnetoelectric neuromodulation method. By utilizing magnetic nanodiscs to generate torque under alternating magnetic fields (AMFs), the MagTIES induces a piezoelectric effect in piezoelectric nanoparticles, thereby overcoming the limitations of traditional magnetostriction-based systems. With an AMF (50 mT at ≈10 Hz), the proposed approach triggers neuronal activity both in vitro and in vivo, specifically in the deep brain region of the amygdala, within milliseconds. Furthermore, MagTIES enables the fine-tuning of amygdala brain oscillations through the precise modulation of the AMF frequency. By combining high spatial and temporal precision with minimal invasiveness, MagTIES provides an innovative approach for advancing neuroscience research with potential applications in understanding neural circuits and developing innovative therapies.

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Institutions

Publication Details

Journal
Advanced Healthcare Materials
Published
2025-06-16
DOI
https://doi.org/10.1002/adhm.202500805
Citations
2
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
1.82

Funders

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article

Magnetic‐Driven Torque‐Induced Electrical Stimulation for Millisecond‐Scale Wireless Neuromodulation

Chao‐Chun Cheng, Yen‐Jing Ting, Junxuan Huang, Po‐Han Chiang et al.
2 citations
Advanced Healthcare Materials
Neuroscience and Neural Engineering
1.82
article

Magnetic‐Driven Torque‐Induced Electrical Stimulation for Millisecond‐Scale Wireless Neuromodulation

Chao‐Chun Cheng, Yen‐Jing Ting, Junxuan Huang, Po‐Han Chiang, Li‐Ling Chen, Guan‐Jhong Tseng
article en
2 citations

Abstract

Wireless neuromodulation using nanoparticles, offering minimally invasive alternatives to conventional deep brain stimulation (DBS) while reducing the risks associated with hardware implants, has gained significant traction over the past decade. Nevertheless, ensuring millisecond-scale wireless DBS for the precise temporal control of neuronal activity remains challenging. This study reports magnetic-driven torque-induced electrical stimulation (MagTIES), a torque-based magnetoelectric neuromodulation method. By utilizing magnetic nanodiscs to generate torque under alternating magnetic fields (AMFs), the MagTIES induces a piezoelectric effect in piezoelectric nanoparticles, thereby overcoming the limitations of traditional magnetostriction-based systems. With an AMF (50 mT at ≈10 Hz), the proposed approach triggers neuronal activity both in vitro and in vivo, specifically in the deep brain region of the amygdala, within milliseconds. Furthermore, MagTIES enables the fine-tuning of amygdala brain oscillations through the precise modulation of the AMF frequency. By combining high spatial and temporal precision with minimal invasiveness, MagTIES provides an innovative approach for advancing neuroscience research with potential applications in understanding neural circuits and developing innovative therapies.

Advanced Healthcare MaterialsVol. 14(20)
National Yang Ming Chiao Tung University (TW)
Massachusetts Institute of Technology, Academia Sinica, Shanghai Educational Development Foundation, Chang Gung Medical Foundation, National Tsing Hua University, National Cheng Kung University, National Science and Technology Council
Openalex Percentile: Top 15%
Neuroscience and Neural Engineering
1.82
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Magnetic‐Driven Torque‐Induced Electrical Stimulation for Millisecond‐Scale Wireless Neuromodulation — Chao‐Chun Cheng, Yen‐Jing Ting, et al. · Advanced Healthcare Materials (2025) | TGRS Research Map | TGRS