Recent progress on peripheral neural interface technology towards bioelectronic medicine
Open accessAbstract
Modulation of the peripheral nervous system (PNS) has a great potential for therapeutic intervention as well as restore bodily functions. Recent interest has focused on autonomic nerves, as they regulate extensive functions implicated in organ physiology, chronic disease state and appear tractable to targeted modulation of discrete nerve units. Therapeutic interventions based on specific bioelectronic neuromodulation depend on reliable neural interface to stimulate and record autonomic nerves. Furthermore, the function of stimulation and recording requires energy which should be delivered to the interface. Due to the physiological and anatomical challenges of autonomic nerves, various forms of this active neural interface need to be developed to achieve next generation of neural interface for bioelectronic medicine. In this article, we present an overview of the state-of-the-art for peripheral neural interface technology in relation to autonomic nerves. Also, we reveal the current status of wireless neural interface for peripheral nerve applications. Recent studies of a novel concept of self-sustainable neural interface without battery and electronic components are presented. Finally, the recent results of non-invasive stimulation such as ultrasound and magnetic stimulation are covered and the perspective of the future research direction is provided.
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It is not easy to accurately acquire and interpret nerve signals due to their weak strength and high noise.
“However, it is not easy to accurately acquire and interpret the nerve signals, due to their features of weak strength and high noise (Cho et al. 2020; Xiang et al. 2016a).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Cho et al. 2020
Monitoring neural electrical signals or neurotransmitters provides insights into physiological and pathological processes, informing the prevention and treatment of neurological disorders.
“Monitoring neural electrical signals or neurotransmitters provides insights into physiological and pathological processes, informing the prevention and treatment of neurological disorders (Cho et al. 2020; Lee, S. et al. 2017; Lee et al. 2022).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Cho et al. 2020
Implantable neural interfaces have made significant progress in recent years, enabling new opportunities for understanding and interfacing with the nervous system.
“In summary, implantable neural interfaces have made significant progress in recent years, enabling new opportunities for understanding and interfacing with the nervous system (Cho et al. 2020; Lee, Sanghoon et al. 2017; Xiang et al. 2016a).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Cho et al. 2020
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Cites
Structural absorption by barbule microstructures of super black bird of paradise feathers
McCoy, D. E., Feo, T., Harvey, T. A., & Prum, R. O. (2018) · Nature Communications · doi:10.1038/s41467-017-02088-w · Cited by 7,424 · see citing works
Azevedo, R. S. S., de Sousa, J. R., Araujo, M. T. F., Martins Filho, A. J., de Alcantara, B. N., Araujo, F. M. C., Queiroz, M. G. L., Cruz, A. C. R., Vasconcelos, B. H. B., Chiang, J. O., et al. (2018) · Scientific Reports · doi:10.1038/s41598-017-17765-5 · Cited by 3,478 · see citing works
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243 · see citing works
Efficient generation of mouse models of human diseases via ABE- and BE-mediated base editing
Liu, Z., Lu, Z., Yang, G., Huang, S., Li, G., Feng, S., Liu, Y., Li, J., Yu, W., Zhang, Y., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04768-7 · Cited by 2,103 · see citing works
Koopman, F. A., Chavan, S. S., Miljko, S., Grazio, S., Sokolovic, S., Schuurman, P. R., Mehta, A. D., Levine, Y. A., Faltys, M., Zitnik, R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605635113 · Cited by 1,024 · see citing works
Transcutaneous ultrasound energy harvesting using capacitive triboelectric technology
Hinchet, R., Yoon, H.-J., Ryu, H., Kim, M.-K., Choi, E.-K., Kim, D.-S., & Kim, S.-W. (2019) · Science · doi:10.1126/science.aan3997 · Cited by 854 · see citing works
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust
Seo, D., Neely, R. M., Shen, K., Singhal, U., Alon, E., Rabaey, J. M., Carmena, J. M., & Maharbiz, M. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.034 · Cited by 557 · see citing works
Wearable and Implantable Triboelectric Nanogenerators
Liu, Z., Li, H., Shi, B., Fan, Y., Wang, Z. L., & Li, Z. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201808820 · Cited by 517 · see citing works
Koo, J., MacEwan, M. R., Kang, S.-K., Won, S. M., Stephen, M., Gamble, P., Xie, Z., Yan, Y., Chen, Y.-Y., Shin, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0196-2 · Cited by 496 · see citing works
Self-citationChronic vagus nerve stimulation in Crohn's disease: a 6‐month follow‐up pilot study
Bonaz, B., Sinniger, V., Hoffmann, D., Clarençon, D., Mathieu, N., Dantzer, C., Vercueil, L., Picq, C., Trocmé, C., Faure, P., et al. (2016) · Neurogastroenterology & Motility · doi:10.1111/nmo.12792 · Cited by 492 · see citing works
Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., Li, L., Zhang, T., & Lee, C. (2020) · Advanced Science · doi:10.1002/advs.202000261 · Cited by 481 · see citing works
Self-citationTammaro, A., Kers, J., Emal, D., Stroo, I., Teske, G. J. D., Butter, L. M., Claessen, N., Damman, J. J., Derive, M., Navis, G. J., et al. (2017) · Scientific Reports · doi:10.1038/srep44163 · Cited by 368 · see citing works
Effective weight control via an implanted self-powered vagus nerve stimulation device
Yao, G., Kang, L., Li, J., Long, Y., Wei, H., Ferreira, C. A., Jeffery, J. J., Lin, Y., Cai, W., & Wang, X. (2018) · Nature Communications · doi:10.1038/s41467-018-07764-z · Cited by 348 · see citing works
Robust Swing‐Structured Triboelectric Nanogenerator for Efficient Blue Energy Harvesting
Jiang, T., Pang, H., An, J., Lu, P., Feng, Y., Liang, X. D., Zhong, W., & Wang, Z. L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.202000064 · Cited by 348 · see citing works
Shi, Q., He, T., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.01.002 · Cited by 323 · see citing works
Self-citationShon, A., Chu, J., Jung, J., Kim, H., & Youn, I. (2017) · Sensors · doi:10.3390/s18010001 · Cited by 320 · see citing works
Anti-inflammatory effect of vagus nerve stimulation in a rat model of inflammatory bowel disease
Meregnani, J., Clarençon, D., Vivier, M., Peinnequin, A., Mouret, C., Sinniger, V., Picq, C., Job, A., Canini, F., Jacquier-Sarlin, M., et al. (2011) · Autonomic Neuroscience · doi:10.1016/j.autneu.2010.10.007 · Cited by 310 · see citing works
Liu, J.-L., Xu, F., Hui, Z., Wu, X., Shi, L.-X., Lu, R.-Q., Farcomeni, A., Venditti, M., Zhao, Y.-L., Luo, S.-Y., et al. (2018) · Scientific Reports · doi:10.1038/srep47005 · Cited by 265 · see citing works
He, T., Wang, H., Wang, J., Tian, X., Wen, F., Shi, Q., Ho, J. S., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201901437 · Cited by 254 · see citing works
Self-citationTranscranial Ultrasound (TUS) Effects on Mental States: A Pilot Study
Hameroff, S., Trakas, M., Duffield, C., Annabi, E., Gerace, M. B., Boyle, P., Lucas, A., Amos, Q., Buadu, A., & Badal, J. J. (2013) · Brain stimulation · doi:10.1016/j.brs.2012.05.002 · Cited by 248 · see citing works
Role of the vagus nerve in the development and treatment of diet‐induced obesity
de Lartigue, G. (2016) · The Journal of Physiology · doi:10.1113/jp271538 · Cited by 238 · see citing works
Gutruf, P., Yin, R. T., Lee, K. B., Ausra, J., Brennan, J. A., Qiao, Y., Xie, Z., Peralta, R., Talarico, O., Murillo, A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13637-w · Cited by 223 · see citing works
Neuromodulation with transcranial focused ultrasound
Kubanek, J. (2018) · Neurosurgical FOCUS · doi:10.3171/2017.11.focus17621 · Cited by 196 · see citing works
Zhang, Y., Mickle, A. D., Gutruf, P., McIlvried, L. A., Guo, H., Wu, Y., Golden, J. P., Xue, Y., Grajales-Reyes, J. G., Wang, X., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw5296 · Cited by 195 · see citing works
Wearable Triboelectric–Human–Machine Interface (THMI) Using Robust Nanophotonic Readout
Dong, B., Yang, Y., Shi, Q., Xu, S., Sun, Z., Zhu, S., Zhang, Z., Kwong, D.-L., Zhou, G., Ang, K., et al. (2020) · ACS Nano · doi:10.1021/acsnano.0c03728 · Cited by 175 · see citing works
Self-citationTranscranial magnetic stimulation: Neurophysiological applications and safety
Anand, S., & Hotson, J. R. (2002) · Brain and Cognition · doi:10.1016/s0278-2626(02)00512-2 · Cited by 168 · see citing works
Principles of electrical stimulation of neural tissue
(2013) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-53497-2.00001-2 · Cited by 151 · see citing works
Implantable microcoils for intracortical magnetic stimulation
Lee, S. W., Fallegger, F., Casse, B. D. F., & Fried, S. I. (2016) · Science Advances · doi:10.1126/sciadv.1600889 · Cited by 151 · see citing works
Self-citationWang, J., Wang, H., He, T., He, B., Thakor, N. V., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201900149 · Cited by 137 · see citing works
Self-citationA novel hybridized blue energy harvester aiming at all-weather IoT applications
Liu, L., Shi, Q., & Lee, C. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.105052 · Cited by 137 · see citing works
Self-citationWang, J., He, T., & Lee, C. (2019) · Nano Energy · doi:10.1016/j.nanoen.2019.104039 · Cited by 129 · see citing works
Self-citationA Microchannel Neuroprosthesis for Bladder Control After Spinal Cord Injury in Rat
Chew, D. J., Zhu, L., Delivopoulos, E., Minev, I. R., Musick, K. M., Mosse, C. A., Craggs, M., Donaldson, N., Lacour, S. P., McMahon, S. B., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3007186 · Cited by 123 · see citing works
Non-invasive peripheral nerve stimulation via focused ultrasound in vivo
Downs, M. E., Lee, S. A., Yang, G., Kim, S., Wang, Q., & Konofagou, E. E. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aa9fc2 · Cited by 122 · see citing works
Self-citationBattery-free neuromodulator for peripheral nerve direct stimulation
Lee, S., Wang, H., Wang, J., Shi, Q., Yen, S.-C., Thakor, N. V., & Lee, C. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.04.004 · Cited by 109 · see citing works
Self-citationChronic interfacing with the autonomic nervous system using carbon nanotube (CNT) yarn electrodes
McCallum, G. A., Sui, X., Qiu, C., Marmerstein, J., Zheng, Y., Eggers, T. E., Hu, C., Dai, L., & Durand, D. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-10639-w · Cited by 102 · see citing works
Meyers, E. E., Kronemberger, A., Lira, V. A., Rahmouni, K., & Stauss, H. M. (2016) · Physiological Reports · doi:10.14814/phy2.12718 · Cited by 101 · see citing works
Thin film multi-electrode softening cuffs for selective neuromodulation
González-González, M. A., Kanneganti, A., Joshi-Imre, A., Hernandez-Reynoso, A. G., Bendale, G., Modi, R., Ecker, M., Khurram, A., Cogan, S. F., Voit, W. E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34566-6 · Cited by 97 · see citing works
Toward Bioelectronic Medicine—Neuromodulation of Small Peripheral Nerves Using Flexible Neural Clip
Lee, S., Peh, W. Y. X., Wang, J., Yang, F., Ho, J. S., Thakor, N. V., Yen, S., & Lee, C. (2017) · Advanced Science · doi:10.1002/advs.201700149 · Cited by 96 · see citing works
Self-citationVagus Nerve Stimulation (VNS) and Treatment of Depression: To the Brainstem and Beyond.
O’Reardon, J. P., Cristancho, P., & Peshek, A. D. (2006) · PubMed Central · Cited by 94 · see citing works
The NeuroStar TMS Device: Conducting the FDA Approved Protocol for Treatment of Depression
Horvath, J. C., Mathews, J., Demitrack, M. A., & Pascual-Leone, A. (2010) · Journal of Visualized Experiments · doi:10.3791/2345 · Cited by 83 · see citing works
Yotova, I., Hsu, E., Do, C., Gaba, A., Sczabolcs, M., Dekan, S., Kenner, L., Wenzl, R., & Tycko, B. (2017) · PLOS ONE · doi:10.1371/journal.pone.0170859 · Cited by 81 · see citing works
Electrical stimulation for the treatment of lower urinary tract dysfunction after spinal cord injury
McGee, M. J., Amundsen, C. L., & Grill, W. M. (2015) · Journal of Spinal Cord Medicine · doi:10.1179/2045772314y.0000000299 · Cited by 79 · see citing works
Wang, Z., Yan, J., Wang, X., Yuan, Y., & Xiaoli Li, A. (2019) · Movement Disorders · doi:10.1002/mds.27952 · Cited by 78 · see citing works
A Bioresorbable Magnetically Coupled System for Low‐Frequency Wireless Power Transfer
Guo, Q., Koo, J., Xie, Z., Avila, R. O., Yu, X., Ning, X., Zhang, H., Xu, L., Kim, S. B., Yan, Y., et al. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201905451 · Cited by 77 · see citing works
Zhu, J., Wang, H., Zhang, Z., Ren, Z., Shi, Q., Liu, W., & Lee, C. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.104760 · Cited by 75 · see citing works
Self-citationSelective stimulation and neural recording on peripheral nerves using flexible split ring electrodes
Lee, S., Sheshadri, S., Xiang, Z., Delgado-Martinez, I., Xue, N., Sun, T., Thakor, N. V., Yen, S.-C., & Lee, C. (2017) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2016.09.127 · Cited by 73 · see citing works
Self-citationDavids, M., Guérin, B., Malzacher, M., Schad, L. R., & Wald, L. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05493-9 · Cited by 65 · see citing works
High-performance wireless powering for peripheral nerve neuromodulation systems
Tanabe, Y., Ho, J. S., Liu, J., Liao, S.-Y., Zhen, Z., Hsu, S., Shuto, C., Zhu, Z.-Y., Ma, A., Vassos, C., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0186698 · Cited by 63 · see citing works
StimDust: A 6.5mm3, wireless ultrasonic peripheral nerve stimulator with 82% peak chip efficiency
Johnson, B. C., Shen, K., Piech, D. K., Ghanbari, M. M., Li, K. Y., Neely, R., Carmena, J. M., Maharbiz, M. M., & Muller, R. (2018) · Custom Integrated Circuits Conference · doi:10.1109/cicc.2018.8357047 · Cited by 63 · see citing works
Unmyelinated Peripheral Nerves Can Be Stimulated in Vitro Using Pulsed Ultrasound
Wright, C. J., Haqshenas, R., Rothwell, J. C., & Saffari, N. (2017) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2017.05.008 · Cited by 60 · see citing works
Caravaca, A. S., Tsaava, T., Goldman, L., Silverman, H., Riggott, G., Chavan, S. S., Bouton, C., Tracey, K. J., Desimone, R., Boyden, E. S., et al. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa7a42 · Cited by 57 · see citing works
A micro-scale printable nanoclip for electrical stimulation and recording in small nerves
Lissandrello, C. A., Gillis, W. F., Shen, J., Pearre, B. W., Vitale, F., Pasquali, M., Holinski, B. J., Chew, D. J., White, A. E., & Gardner, T. J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5a5b · Cited by 55 · see citing works
Carbon fiber on polyimide ultra-microelectrodes
Gillis, W. F., Lissandrello, C. A., Shen, J., Pearre, B. W., Mertiri, A., Deku, F., Cogan, S., Holinski, B. J., Chew, D. J., White, A. E., et al. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8c88 · Cited by 55 · see citing works
Magnetic stimulation of nerve tissue
Öberg, P. Å. (1973) · Medical & Biological Engineering & Computing · doi:10.1007/bf02477296 · Cited by 54 · see citing works
Wang, H., Zhu, J., He, T., Zhang, Z., & Lee, C. (2020) · Nano Energy · doi:10.1016/j.nanoen.2020.105241 · Cited by 46 · see citing works
Self-citationMapping of Small Nerve Trunks and Branches Using Adaptive Flexible Electrodes
Xiang, Z., Sheshadri, S., Lee, S., Wang, J., Xue, N., Thakor, N. V., Yen, S., & Lee, C. (2016) · Advanced Science · doi:10.1002/advs.201500386 · Cited by 40 · see citing works
Self-citationMicro-Coil Design Influences the Spatial Extent of Responses to Intracortical Magnetic Stimulation
Lee, S. W., Thyagarajan, K., & Fried, S. I. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2877713 · Cited by 37 · see citing works
Self-citationFlexible epineural strip electrode for recording in fine nerves
Lee, S., Yen, S.-C., Sheshadri, S., Martinez, I. D., Xue, N., Xiang, Z., Thakor, N. V., & Lee, C. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2466442 · Cited by 33 · see citing works
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Yang, K.-W. K., Oh, K., & Ha, S. (2020) · IEEE Access · doi:10.1109/access.2020.3007517 · Cited by 32 · see citing works
KAGAN, Z. B., RamRakhyani, A. K., Lazzi, G., et al. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2544247 · Cited by 20 · see citing works
Hessels, L., Lansink‐Hartgring, A. O., Renes, M. H., van der Horst, I. C. C., Hoekstra, M., Touw, D. J., & Nijsten, M. W. (2016) · Physiological Reports · doi:10.14814/phy2.12807 · Cited by 20 · see citing works
Wang, H., Wang, J., Thow, X. Y., Lee, S., Peh, W. Y. X., Ng, K. A., He, T., Thakor, N. V., & Lee, C. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00050 · Cited by 9 · see citing works
Self-citationDirect Stimulation of Bladder Pelvic Nerve using Battery-Free Neural Clip Interface
Lee, S., Wang, H., Peh, W. Y. X., Thakor, N. V., Yen, S., & Lee, C. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8716975 · Cited by 8 · see citing works
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- Authors
- Cho, Y., Park, J., Lee, C., & Lee, S.
- Affiliations
- Daegu Gyeongbuk Institute of Science and Technology (KR)
- National University of Singapore (SG)
- Corresponding author
- Lee, Chengkuo
- Lee, Sanghoon
- Venue
- Bioelectronic Medicine
- Published
- 2020-11-30
- Volume
- 6
- Issue
- 1
- Pages
- 23-23
- ISSN
- 2332-8886 (ISSN-L)
- PMC
- PMC7706233
- OpenAlex
- W3110418699
- Cited by
- 55
- References
- 63
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 10 · 2023: 11 · 2022: 10 · 2021: 15
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Bioelectronic Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation: Competitive Research Project (NRF-CRP10-2012-01)
- The Agency for Science, Technology and Research (A*STAR), Singapore and Narodowe Centrum Badań i Rozwoju (NCBR), Poland Joint Grant (R-263-000-C91-305)
- DGIST R&D Program of the Ministry of Science and ICT (2020010043)
- National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2019R1C1C1008344)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- autonomic nerves, neuromodulation, peripheral nerve stimulation, peripheral nerve recording, wireless neural interface, non-invasive stimulation, ultrasound stimulation, magnetic stimulation
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