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Liu Q, Yang L, Zhang Z, Yang H, Zhang Y, Wu J. The Feature, Performance, and Prospect of Advanced Electrodes for Electroencephalogram. BIOSENSORS 2023; 13:bios13010101. [PMID: 36671936 PMCID: PMC9855417 DOI: 10.3390/bios13010101] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/22/2022] [Accepted: 01/03/2023] [Indexed: 05/12/2023]
Abstract
Recently, advanced electrodes have been developed, such as semi-dry, dry contact, dry non-contact, and microneedle array electrodes. They can overcome the issues of wet electrodes and maintain high signal quality. However, the variations in these electrodes are still unclear and not explained, and there is still confusion regarding the feasibility of electrodes for different application scenarios. In this review, the physical features and electroencephalogram (EEG) signal performances of these advanced EEG electrodes are introduced in view of the differences in contact between the skin and electrodes. Specifically, contact features, biofeatures, impedance, signal quality, and artifacts are discussed. The application scenarios and prospects of different types of EEG electrodes are also elucidated.
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Terutsuki D, Yoroizuka H, Osawa SI, Ogihara Y, Abe H, Nakagawa A, Iwasaki M, Nishizawa M. Totally Organic Hydrogel-Based Self-Closing Cuff Electrode for Vagus Nerve Stimulation. Adv Healthc Mater 2022; 11:e2201627. [PMID: 36148587 DOI: 10.1002/adhm.202201627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/01/2022] [Indexed: 01/28/2023]
Abstract
An intrinsically soft organic electrode consisting of poly(3,4-ethylenedioxythiophene)-modified polyurethane (PEDOT-PU) is embedded into a bilayer film of polyvinyl alcohol (PVA) hydrogels for developing a self-closing cuff electrode for neuromodulation. The curled form of the PVA hydrogel is prepared by releasing internal stress in the bilayer structure. The inner diameter of the cuff electrode is set to less than 2 mm for immobilization to the vagus nerve (VN) of humans and pigs. The stability of the immobilization is examined, while the pressure applied to a nerve bundle is at a harmless level (≈200 Pa). Since the electrode is totally organic, MRI measurements can be conducted without image artifacts. The large electric capacitance of the PEDOT-PU (≈27 mF cm-2 ) ensures a safe stimulation of living tissues without Faradaic reactions. The practical performance of the cuff electrode for VN stimulation is demonstrated by observation of bradycardia induction in a pig.
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Affiliation(s)
- Daigo Terutsuki
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Hayato Yoroizuka
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Shin-Ichiro Osawa
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Yuka Ogihara
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Hiroya Abe
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Atsuhiro Nakagawa
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Masaki Iwasaki
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi-cho, Kodaira-shi, Tokyo, 187-8551, Japan
| | - Matsuhiko Nishizawa
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki Aoba, Aoba-ku, Sendai, 980-8579, Japan
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Zhang Y, Le S, Li H, Ji B, Wang MH, Tao J, Liang JQ, Zhang XY, Kang XY. MRI magnetic compatible electrical neural interface: From materials to application. Biosens Bioelectron 2021; 194:113592. [PMID: 34507098 DOI: 10.1016/j.bios.2021.113592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 08/24/2021] [Indexed: 01/07/2023]
Abstract
Neural electrical interfaces are important tools for local neural stimulation and recording, which potentially have wide application in the diagnosis and treatment of neural diseases, as well as in the transmission of neural activity for brain-computer interface (BCI) systems. At the same time, magnetic resonance imaging (MRI) is one of the effective and non-invasive techniques for recording whole-brain signals, providing details of brain structures and also activation pattern maps. Simultaneous recording of extracellular neural signals and MRI combines two expressions of the same neural activity and is believed to be of great importance for the understanding of brain function. However, this combination makes requests on the magnetic and electronic performance of neural interface devices. MRI-compatibility refers here to a technological approach to simultaneous MRI and electrode recording or stimulation without artifacts in imaging. Trade-offs between materials magnetic susceptibility selection and electrical function should be considered. Herein, prominent trends in selecting materials of suitable magnetic properties are analyzed and material design, function and application of neural interfaces are outlined together with the remaining challenge to fabricate MRI-compatible neural interface.
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Affiliation(s)
- Yuan Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Institute of AI and Robotics, Academy for Engineering and Technology, FUDAN University, 220 Handan Rd., Yangpu District, Shanghai, 200433, China; Ji Hua Laboratory, 28 Island Ring South Rd., Foshan City, 528200, China; Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, Shanghai 200433, China; Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou, 311100, China; Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City, 322000, Zhejiang, China
| | - Song Le
- Laboratory for Neural Interface and Brain Computer Interface, Institute of AI and Robotics, Academy for Engineering and Technology, FUDAN University, 220 Handan Rd., Yangpu District, Shanghai, 200433, China; Ji Hua Laboratory, 28 Island Ring South Rd., Foshan City, 528200, China; Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, Shanghai 200433, China; Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou, 311100, China; Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City, 322000, Zhejiang, China
| | - Hui Li
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055, China
| | - Bowen Ji
- Unmanned System Research Institute; Ministry of Education Key Laboratory of Micro/Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Ming-Hao Wang
- The MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics & Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Jin Tao
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Jing-Qiu Liang
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, China
| | - Xiao-Yong Zhang
- Institute of Science and Technology for Brain-inspired Intelligence, FUDAN University, Shanghai, 200433, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai 200433, China
| | - Xiao-Yang Kang
- Laboratory for Neural Interface and Brain Computer Interface, Institute of AI and Robotics, Academy for Engineering and Technology, FUDAN University, 220 Handan Rd., Yangpu District, Shanghai, 200433, China; Ji Hua Laboratory, 28 Island Ring South Rd., Foshan City, 528200, China; Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, Shanghai 200433, China; Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou, 311100, China; Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City, 322000, Zhejiang, China.
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Silicon Carbide and MRI: Towards Developing a MRI Safe Neural Interface. MICROMACHINES 2021; 12:mi12020126. [PMID: 33530350 PMCID: PMC7911642 DOI: 10.3390/mi12020126] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 12/11/2022]
Abstract
An essential method to investigate neuromodulation effects of an invasive neural interface (INI) is magnetic resonance imaging (MRI). Presently, MRI imaging of patients with neural implants is highly restricted in high field MRI (e.g., 3 T and higher) due to patient safety concerns. This results in lower resolution MRI images and, consequently, degrades the efficacy of MRI imaging for diagnostic purposes in these patients. Cubic silicon carbide (3C-SiC) is a biocompatible wide-band-gap semiconductor with a high thermal conductivity and magnetic susceptibility compatible with brain tissue. It also has modifiable electrical conductivity through doping level control. These properties can improve the MRI compliance of 3C-SiC INIs, specifically in high field MRI scanning. In this work, the MRI compliance of epitaxial SiC films grown on various Si wafers, used to implement a monolithic neural implant (all-SiC), was studied. Via finite element method (FEM) and Fourier-based simulations, the specific absorption rate (SAR), induced heating, and image artifacts caused by the portion of the implant within a brain tissue phantom located in a 7 T small animal MRI machine were estimated and measured. The specific goal was to compare implant materials; thus, the effect of leads outside the tissue was not considered. The results of the simulations were validated via phantom experiments in the same 7 T MRI system. The simulation and experimental results revealed that free-standing 3C-SiC films had little to no image artifacts compared to silicon and platinum reference materials inside the MRI at 7 T. In addition, FEM simulations predicted an ~30% SAR reduction for 3C-SiC compared to Pt. These initial simulations and experiments indicate an all-SiC INI may effectively reduce MRI induced heating and image artifacts in high field MRI. In order to evaluate the MRI safety of a closed-loop, fully functional all-SiC INI as per ISO/TS 10974:2018 standard, additional research and development is being conducted and will be reported at a later date.
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Oribe S, Yoshida S, Kusama S, Osawa SI, Nakagawa A, Iwasaki M, Tominaga T, Nishizawa M. Hydrogel-Based Organic Subdural Electrode with High Conformability to Brain Surface. Sci Rep 2019; 9:13379. [PMID: 31527626 PMCID: PMC6746719 DOI: 10.1038/s41598-019-49772-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 08/28/2019] [Indexed: 11/16/2022] Open
Abstract
A totally soft organic subdural electrode has been developed by embedding an array of poly(3,4-ethylenedioxythiophene)-modified carbon fabric (PEDOT-CF) into the polyvinyl alcohol (PVA) hydrogel substrate. The mesh structure of the stretchable PEDOT-CF allowed stable structural integration with the PVA substrate. The electrode performance for monitoring electrocorticography (ECoG) was evaluated in saline solution, on ex vivo brains, and in vivo animal experiments using rats and porcines. It was demonstrated that the large double-layer capacitance of the PEDOT-CF brings low impedance at the frequency of brain wave including epileptic seizures, and PVA hydrogel substrate minimized the contact impedance on the brain. The most important unique feature of the hydrogel-based ECoG electrode was its shape conformability to enable tight adhesion even to curved, grooved surface of brains by just being placed. In addition, since the hydrogel-based electrode is totally organic, the simultaneous ECoG-fMRI measurements could be conducted without image artifacts, avoiding problems induced by conventional metallic electrodes.
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Affiliation(s)
- Shuntaro Oribe
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Shotaro Yoshida
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Shinya Kusama
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aoba, Aoba-ku, Sendai, 980-8579, Japan
| | - Shin-Ichiro Osawa
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Atsuhiro Nakagawa
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Masaki Iwasaki
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry (NCNP), 4-1-1 Ogawahigashi-cho, Kodaira-shi, Tokyo, 187-8551, Japan
| | - Teiji Tominaga
- Department of Neurosurgery, Graduate School of Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Matsuhiko Nishizawa
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aoba, Aoba-ku, Sendai, 980-8579, Japan.
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Nimbalkar S, Fuhrer E, Silva P, Nguyen T, Sereno M, Kassegne S, Korvink J. Glassy carbon microelectrodes minimize induced voltages, mechanical vibrations, and artifacts in magnetic resonance imaging. MICROSYSTEMS & NANOENGINEERING 2019; 5:61. [PMID: 31754453 PMCID: PMC6859162 DOI: 10.1038/s41378-019-0106-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 06/28/2019] [Accepted: 08/27/2019] [Indexed: 05/07/2023]
Abstract
The recent introduction of glassy carbon (GC) microstructures supported on flexible polymeric substrates has motivated the adoption of GC in a variety of implantable and wearable devices. Neural probes such as electrocorticography and penetrating shanks with GC microelectrode arrays used for neural signal recording and electrical stimulation are among the first beneficiaries of this technology. With the expected proliferation of these neural probes and potential clinical adoption, the magnetic resonance imaging (MRI) compatibility of GC microstructures needs to be established to help validate this potential in clinical settings. Here, we present GC microelectrodes and microstructures-fabricated through the carbon micro-electro-mechanical systems process and supported on flexible polymeric substrates-and carry out experimental measurements of induced vibrations, eddy currents, and artifacts. Through induced vibration, induced voltage, and MRI experiments and finite element modeling, we compared the performances of these GC microelectrodes against those of conventional thin-film platinum (Pt) microelectrodes and established that GC microelectrodes demonstrate superior magnetic resonance compatibility over standard metal thin-film microelectrodes. Specifically, we demonstrated that GC microelectrodes experienced no considerable vibration deflection amplitudes and minimal induced currents, while Pt microelectrodes had significantly larger currents. We also showed that because of their low magnetic susceptibility and lower conductivity, the GC microelectrodes caused almost no susceptibility shift artifacts and no eddy-current-induced artifacts compared to Pt microelectrodes. Taken together, the experimental, theoretical, and finite element modeling establish that GC microelectrodes exhibit significant MRI compatibility, hence demonstrating clear clinical advantages over current conventional thin-film materials, further opening avenues for wider adoption of GC microelectrodes in chronic clinical applications.
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Affiliation(s)
- Surabhi Nimbalkar
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Erwin Fuhrer
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
| | - Pedro Silva
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
| | - Tri Nguyen
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Martin Sereno
- Magnetic Resonance Imaging Lab, San Diego State University, San Diego, CA 92182 USA
| | - Sam Kassegne
- MEMS Research Lab, Department of Mechanical Engineering,College of Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 USA
- NSF-ERC Center for Neurotechnology (CNT), Seattle, WA USA
| | - Jan Korvink
- Institute of Microstructure Technology – Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz, 76344 Eggenstein-Leopoldshafen, Germany
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Ahmadi E, Katnani HA, Daftari Besheli L, Gu Q, Atefi R, Villeneuve MY, Eskandar E, Lev MH, Golby AJ, Gupta R, Bonmassar G. An Electrocorticography Grid with Conductive Nanoparticles in a Polymer Thick Film on an Organic Substrate Improves CT and MR Imaging. Radiology 2016; 280:595-601. [PMID: 26844363 DOI: 10.1148/radiol.2016142529] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To develop an electrocorticography (ECoG) grid by using deposition of conductive nanoparticles in a polymer thick film on an organic substrate (PTFOS) that induces minimal, if any, artifacts on computed tomographic (CT) and magnetic resonance (MR) images and is safe in terms of tissue reactivity and MR heating. Materials and Methods All procedures were approved by the Animal Care and Use Committee and complied with the Public Health Services Guide for the Care and Use of Animals. Electrical functioning of PTFOS for cortical recording and stimulation was tested in two mice. PTFOS disks were implanted in two mice; after 30 days, the tissues surrounding the implants were harvested, and tissue injury was studied by using immunostaining. Five neurosurgeons rated mechanical properties of PTFOS compared with conventional grids by using a three-level Likert scale. Temperature increases during 30 minutes of 3-T MR imaging were measured in a head phantom with no grid, a conventional grid, and a PTFOS grid. Two neuroradiologists rated artifacts on CT and MR images of a cadaveric head specimen with no grid, a conventional grid, and a PTFOS grid by using a four-level Likert scale, and the mean ratings were compared between grids. Results Oscillatory local field potentials were captured with cortical recordings. Cortical stimulations in motor cortex elicited muscle contractions. PTFOS implants caused no adverse tissue reaction. Mechanical properties were rated superior to conventional grids (χ(2) test, P < .05). The temperature increase during MR imaging for the three cases of no grid, PTFOS grid, and conventional grid was 3.84°C, 4.05°C, and 10.13°C, respectively. PTFOS induced no appreciable artifacts on CT and MR images, and PTFOS image quality was rated significantly higher than that with conventional grids (two-tailed t test, P < .05). Conclusion PTFOS grids may be an attractive alternative to conventional ECoG grids with regard to mechanical properties, 3-T MR heating profile, and CT and MR imaging artifacts. (©) RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Emad Ahmadi
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Husam A Katnani
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Laleh Daftari Besheli
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Qiang Gu
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Reza Atefi
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Martin Y Villeneuve
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Emad Eskandar
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Michael H Lev
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Alexandra J Golby
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Rajiv Gupta
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
| | - Giorgio Bonmassar
- From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (E.A., R.A., M.Y.V., G.B.), Massachusetts General Hospital, Harvard Medical School, 75 Third Ave, Room 1.402, Charlestown, MA 02129; Advanced X-ray Imaging Sciences Center, Department of Radiology (E.A., L.D.B., M.H.L., R.G.), and Department of Neurosurgery (H.A.K., E.E.), Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Division of Neurotoxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Ark (Q.G.); and Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.J.G.)
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Serano P, Angelone LM, Katnani H, Eskandar E, Bonmassar G. A novel brain stimulation technology provides compatibility with MRI. Sci Rep 2015; 5:9805. [PMID: 25924189 PMCID: PMC4413880 DOI: 10.1038/srep09805] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Accepted: 03/10/2015] [Indexed: 02/05/2023] Open
Abstract
Clinical electrical stimulation systems--such as pacemakers and deep brain stimulators (DBS)--are an increasingly common therapeutic option to treat a large range of medical conditions. Despite their remarkable success, one of the significant limitations of these medical devices is the limited compatibility with magnetic resonance imaging (MRI), a standard diagnostic tool in medicine. During an MRI exam, the leads used with these devices, implanted in the body of the patient, act as an electric antenna potentially causing a large amount of energy to be absorbed in the tissue, which can lead to serious heat-related injury. This study presents a novel lead design that reduces the antenna effect and allows for decreased tissue heating during MRI. The optimal parameters of the wire design were determined by a combination of computational modeling and experimental measurements. The results of these simulations were used to build a prototype, which was tested in a gel phantom during an MRI scan. Measurement results showed a three-fold decrease in heating when compared to a commercially available DBS lead. Accordingly, the proposed design may allow a significantly increased number of patients with medical implants to have safe access to the diagnostic benefits of MRI.
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Affiliation(s)
- Peter Serano
- Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA,
U.S.A
- Department of Electrical and Computer Engineering, University of
Maryland, College Park, MD, U.S.A
- Division of Biomedical Physics, Office of Science and
Engineering Laboratories, Center for Devices and Radiological Health, U.S.
Food and Drug Administration, Silver Spring, MD, U.S.A
| | - Leonardo M. Angelone
- Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA,
U.S.A
- Division of Biomedical Physics, Office of Science and
Engineering Laboratories, Center for Devices and Radiological Health, U.S.
Food and Drug Administration, Silver Spring, MD, U.S.A
| | - Husam Katnani
- Department of Neurosurgery, Massachusetts General Hospital,
Harvard Medical School, Boston, MA
| | - Emad Eskandar
- Department of Neurosurgery, Massachusetts General Hospital,
Harvard Medical School, Boston, MA
| | - Giorgio Bonmassar
- Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA,
U.S.A
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9
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Najafabadi AH, Tamayol A, Annabi N, Ochoa M, Mostafalu P, Akbari M, Nikkhah M, Rahimi R, Dokmeci MR, Sonkusale S, Ziaie B, Khademhosseini A. Biodegradable nanofibrous polymeric substrates for generating elastic and flexible electronics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2014; 26:5823-30. [PMID: 25044366 PMCID: PMC4387132 DOI: 10.1002/adma.201401537] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2014] [Revised: 05/26/2014] [Indexed: 05/20/2023]
Abstract
Biodegradable nanofibrous polymeric substrates are used to fabricate suturable, elastic, and flexible electronics and sensors. The fibrous microstructure of the substrate makes it permeable to gas and liquid and facilitates the patterning process. As a proof-of-principle, temperature and strain sensors are fabricated on this elastic substrate and tested in vitro. The proposed system can be implemented in the field of bioresorbable electronics and the emerging area of smart wound dressings.
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Affiliation(s)
- Alireza Hassani Najafabadi
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Department of Chemistry, Amirkabir University of Technology, Tehran, P.O. Box 1587-4413, Iran
| | - Ali Tamayol
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Nasim Annabi
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Manuel Ochoa
- School of Electrical and Computer Engineering, Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Pooria Mostafalu
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA
| | - Mohsen Akbari
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Mehdi Nikkhah
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Rahim Rahimi
- School of Electrical and Computer Engineering, Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Mehmet R. Dokmeci
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - Sameer Sonkusale
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA
| | - Babak Ziaie
- School of Electrical and Computer Engineering, Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Ali Khademhosseini
- Center for Biomaterials Innovation, Division of Biomedical Engineering, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
- Department of Physics, King Abdulaziz University, Jeddah, Saudi Arabia
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10
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Kim J, Lee M, Rhim JS, Wang P, Lu N, Kim DH. Next-generation flexible neural and cardiac electrode arrays. Biomed Eng Lett 2014. [DOI: 10.1007/s13534-014-0132-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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11
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Min KS, Lee CJ, Jun SB, Kim J, Lee SE, Shin J, Chang JW, Kim SJ. A Liquid Crystal Polymer-Based Neuromodulation System: An Application on Animal Model of Neuropathic Pain. Neuromodulation 2013; 17:160-9. [DOI: 10.1111/ner.12093] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2012] [Revised: 05/17/2013] [Accepted: 06/04/2013] [Indexed: 11/30/2022]
Affiliation(s)
- Kyou Sik Min
- School of Electrical Engineering and Computer Science; Seoul National University; Seoul Korea
| | - Choong Jae Lee
- School of Electrical Engineering and Computer Science; Seoul National University; Seoul Korea
| | - Sang Beom Jun
- Department of Electronics Engineering; Ewha Womans University; Seoul Korea
- Department of Brain and Cognitive Sciences; Ewha Womans University; Seoul Korea
| | - Jinhyung Kim
- Department of Neurosurgery; Yonsei University College of Medicine; Seoul Korea
| | - Sung Eun Lee
- School of Electrical Engineering and Computer Science; Seoul National University; Seoul Korea
| | - Jaewoo Shin
- Department of Neurosurgery; Yonsei University College of Medicine; Seoul Korea
| | - Jin Woo Chang
- Department of Neurosurgery; Yonsei University College of Medicine; Seoul Korea
| | - Sung June Kim
- School of Electrical Engineering and Computer Science; Seoul National University; Seoul Korea
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