Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays
Microelectrode Arrays (MEAs) neural interfaces are considered implantable devices that interact with the nervous system to monitor and/or modulate brain activity. Graphene-based materials are utilized to address some of the current challenges in neural interface design due to their desirable feature...
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2023-12-01
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| Series: | Journal of Biomedical Physics and Engineering |
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| Online Access: | https://jbpe.sums.ac.ir/article_49525_d6588115e17146d897c01d2b3c01d724.pdf |
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| author | Maryam Alsadat Hejazi Seyed Amir Seyedi Alireza Mehdizadeh |
| author_facet | Maryam Alsadat Hejazi Seyed Amir Seyedi Alireza Mehdizadeh |
| author_sort | Maryam Alsadat Hejazi |
| collection | DOAJ |
| description | Microelectrode Arrays (MEAs) neural interfaces are considered implantable devices that interact with the nervous system to monitor and/or modulate brain activity. Graphene-based materials are utilized to address some of the current challenges in neural interface design due to their desirable features, such as high conductance, large surface-to-volume ratio, suitable electrochemical properties, biocompatibility, flexibility, and ease of production.In the current study, we fabricated and characterized a type of flexible, ultrasmall, and implantable neurostimulator based on graphene fibers. In this procedure, wet-spinning was employed to create graphene fibers with diameters of 10 to 50 µm. A 10-channel polyimide Printed Circuit Board (PCB) was then custom-designed and manufactured. The fibers were attached to each channel by conductive glue and also insulated by soaking them in a polyurethane solution. The tips were subsequently exposed using a blowtorch. Microstructural information on the fibers was obtained using Scanning Electron Microscopy (SEM), and the measurements of Electrochemical Impedance Spectroscopy (EIS) were conducted for each electrode.Flexible MEAs were created using graphene fibers with diameters ranging from 10 to 50 microns with a spacing of 150 microns. This method leads to producing electrode arrays with any size of fibers and a variety of channel numbers. The flexible neural prostheses can replace conventional electrodes in both neuroscience and biomedical research. |
| first_indexed | 2024-03-09T01:08:56Z |
| format | Article |
| id | doaj.art-beace1f206d447b0ab9397892da5e17e |
| institution | Directory Open Access Journal |
| issn | 2251-7200 |
| language | English |
| last_indexed | 2024-03-09T01:08:56Z |
| publishDate | 2023-12-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-beace1f206d447b0ab9397892da5e17e2023-12-11T08:13:27ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002023-12-0113657357610.31661/jbpe.v0i0.2306-163349525Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode ArraysMaryam Alsadat Hejazi0Seyed Amir Seyedi1Alireza Mehdizadeh2Department of Medical Physics and Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Medical Sciences, Faculty of Advanced Technology, Isfahan University, Isfahan, IranResearch Center for Neuromodulation and Pain, Shiraz University of Medical Scineces, Shiraz, IranMicroelectrode Arrays (MEAs) neural interfaces are considered implantable devices that interact with the nervous system to monitor and/or modulate brain activity. Graphene-based materials are utilized to address some of the current challenges in neural interface design due to their desirable features, such as high conductance, large surface-to-volume ratio, suitable electrochemical properties, biocompatibility, flexibility, and ease of production.In the current study, we fabricated and characterized a type of flexible, ultrasmall, and implantable neurostimulator based on graphene fibers. In this procedure, wet-spinning was employed to create graphene fibers with diameters of 10 to 50 µm. A 10-channel polyimide Printed Circuit Board (PCB) was then custom-designed and manufactured. The fibers were attached to each channel by conductive glue and also insulated by soaking them in a polyurethane solution. The tips were subsequently exposed using a blowtorch. Microstructural information on the fibers was obtained using Scanning Electron Microscopy (SEM), and the measurements of Electrochemical Impedance Spectroscopy (EIS) were conducted for each electrode.Flexible MEAs were created using graphene fibers with diameters ranging from 10 to 50 microns with a spacing of 150 microns. This method leads to producing electrode arrays with any size of fibers and a variety of channel numbers. The flexible neural prostheses can replace conventional electrodes in both neuroscience and biomedical research.https://jbpe.sums.ac.ir/article_49525_d6588115e17146d897c01d2b3c01d724.pdfmicroelectrodesneural prosthesesimplantable neurostimulatorsneurosciencesbiomedical research |
| spellingShingle | Maryam Alsadat Hejazi Seyed Amir Seyedi Alireza Mehdizadeh Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays Journal of Biomedical Physics and Engineering microelectrodes neural prostheses implantable neurostimulators neurosciences biomedical research |
| title | Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays |
| title_full | Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays |
| title_fullStr | Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays |
| title_full_unstemmed | Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays |
| title_short | Soft Neural Interfacing based on Implantable Graphene Fiber Microelectrode Arrays |
| title_sort | soft neural interfacing based on implantable graphene fiber microelectrode arrays |
| topic | microelectrodes neural prostheses implantable neurostimulators neurosciences biomedical research |
| url | https://jbpe.sums.ac.ir/article_49525_d6588115e17146d897c01d2b3c01d724.pdf |
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