The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Deep brain stimulation and electromagnetic interference
Open accessAbstract
Deep brain stimulation (DBS) has evolved into an approved and efficacious treatment for movement, obsessive-compulsive, and epilepsy disorders that are refractory to medical therapy, with current investigation into other disease conditions. However, there are unintentional and intentional sources of external electromagnetic interference (EMI) that can lead to either malfunctioning or damaged DBS devices, as well as injury to human tissue. Comprehensive studies and guidelines on such topics in the medical literature are scarce. Herein, we review the principles behind EMI, as well as the various potential sources of interference, both unintentional (e.g. stray EMI fields) and intentional (e.g. MRI scans, "brainjacking"). Additionally, we employ the Manufacturer and User Device Facility Experience (MAUDE) database to assess real-world instances of EMI (e.g., airport body scanners, magnetic resonance imaging (MRI), and electrosurgery) affecting DBS devices commonly implanted in the United States (US).
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“For example, RF systems for charging may induce voltages in nearby data circuits, causing data loss or errors, while power harvesting in battery-less systems might disrupt high-frequency data signals (Bazaka and Jacob, 2012; Rahimpour et al., 2021; Won et al., 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Rahimpour et al., 2021
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For example, RF systems for charging may induce voltages in nearby data circuits, causing data loss or errors, while power harvesting in battery-less systems might disrupt high-frequency data signals (Bazaka and Jacob, 2012; Rahimpour et al., 2021; Won et al., 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Rahimpour et al., 2021
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Cites
Deep Brain Stimulation for Treatment-Resistant Depression
Mayberg, H. S., Lozano, A. M., Voon, V., McNeely, H. E., Seminowicz, D., Hamani, C., Schwalb, J. M., & Kennedy, S. H. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.014 · Cited by 4,059
A Randomized Trial of Deep-Brain Stimulation for Parkinson's Disease
Deuschl, G., Schade-Brittinger, C., Krack, P., Volkmann, J., Schäfer, H., Bötzel, K., Daniels, C., Deutschländer, A., Dillmann, U., Eisner, W., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060281 · Cited by 2,944
Bilateral Deep-Brain Stimulation of the Globus Pallidus in Primary Generalized Dystonia
Vidailhet, M., Vercueil, L., Houeto, J.-L., Krystkowiak, P., Benabid, A.-L., Cornu, P., Lagrange, C., Tézenas du Montcel, S., Dormont, D., Grand, S., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa042187 · Cited by 1,094
Chronic Anterior Thalamus Stimulation for Intractable Epilepsy
Hodaie, M., Wennberg, R. A., Dostrovsky, J. O., & Lozano, A. M. (2002) · Epilepsia · doi:10.1046/j.1528-1157.2002.26001.x · Cited by 605
MR Procedures: Biologic Effects, Safety, and Patient Care
Shellock, F. G., & Crues, J. V. (2004) · Radiology · doi:10.1148/radiol.2323030830 · Cited by 563
Electrotherapy Explained: Principles and Practice
Robertson, V. J., Ward, A., Low, J. N., & Reed, A. M. (1991) · Cited by 334
Directional deep brain stimulation: an intraoperative double-blind pilot study
Pollo, C., Kaelin-Lang, A., Oertel, M. F., Stieglitz, L., Taub, E., Fuhr, P., Lozano, A. M., Raabe, A., & Schüpbach, M. (2014) · Brain · doi:10.1093/brain/awu102 · Cited by 327
Henderson, J. M., Tkach, J., Phillips, M., Baker, K., Shellock, F. G., & Rezai, A. R. (2005) · Neurosurgery · doi:10.1227/01.neu.0000180810.16964.3e · Cited by 314
Security and privacy issues in implantable medical devices: A comprehensive survey
Camara, C., Peris-Lopez, P., & Tapiador, J. E. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.04.007 · Cited by 293
Interference with Cardiac Pacemakers by Cellular Telephones
Hayes, D. L., Wang, P. J., Reynolds, D. W., Estes, N. A. M., Griffith, J. L., Steffens, R. A., Carlo, G. L., Findlay, G. K., & Johnson, C. M. (1997) · New England Journal of Medicine · doi:10.1056/nejm199705223362101 · Cited by 282
Research works printed but not linked: 1
- Kainz, 2003, Electromagnetic interference of GSM mobile phones with the implantable deep brain stimulator, ITREL-III, Biomed. Eng. Online, 2, 11, 10.1186/1475-925x-2-11 · DOI · Paper page
Cited by
A review on electromagnetic shielding magnesium alloys
Liu, L., Chen, X., & Pan, F. (2021) · Journal of Magnesium and Alloys · doi:10.1016/j.jma.2021.10.001 · Cited by 193
Zhang, T., Pan, N., Wang, Y., Liu, C., & Hu, S. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.749162 · Cited by 164
Advancements in 3D-printed architectures for electromagnetic interference shields
Zhang, G., Wang, H., Xie, W., Zhou, S., Nie, Z., Niwamanya, G., Zhao, Z., & Duan, H. (2024) · Journal of Materials Chemistry A · doi:10.1039/d3ta07181b · Cited by 61
Excitatory‐inhibitory modulation of transcranial focus ultrasound stimulation on human motor cortex
Zhang, T., Guo, B., Zuo, Z., Long, X., Hu, S., Li, S., Su, X., Wang, Y., & Liu, C. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14303 · Cited by 56
Li, J., Zhong, L., Wang, J., Feng, Z., Qu, Y. D., & Xu, R. (2024) · Journal of Magnesium and Alloys · doi:10.1016/j.jma.2024.03.013 · Cited by 44
Metadata
- Authors
- Rahimpour, S., Kiyani, M., Hodges, S. E., & Turner, D. A.
- Affiliations
- Duke University (US)
- Duke Medical Center (US)
- Corresponding author
- Rahimpour, Shervin
- Venue
- Clinical Neurology and Neurosurgery
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 203
- Pages
- 106577
- ISSN
- 0303-8467 (ISSN-L)
- PMC
- PMC8081063
- OpenAlex
- W3131287423
- Cited by
- 63
- References
- 61
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 13 · 2023: 17 · 2022: 4 · 2021: 5
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Clinical Neurology and Neurosurgery (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (UH3NS103468, UH3NS129898)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- deep brain stimulation, electromagnetic interference, MRI safety, electrosurgery, MAUDE database, movement disorders, epilepsy, obsessive-compulsive disorder
- MeSH terms
- Electromagnetic Fields, Electronics, Humans, Deep Brain Stimulation, Implantable Neurostimulators
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- CoChat. (2026). Citation check: Deep brain stimulation and electromagnetic interference. https://app.cochat.ai/papers/10.1016/j.clineuro.2021.106577
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- Rahimpour, S., Kiyani, M., Hodges, S. E., & Turner, D. A. (2021). Deep brain stimulation and electromagnetic interference. Clinical Neurology and Neurosurgery. https://doi.org/10.1016/j.clineuro.2021.106577
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.