1
|
Li L, Jiang C. Electrodeposited coatings for neural electrodes: A review. Biosens Bioelectron 2025; 282:117492. [PMID: 40288311 DOI: 10.1016/j.bios.2025.117492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 03/27/2025] [Accepted: 04/16/2025] [Indexed: 04/29/2025]
Abstract
Neural electrodes play a pivotal role in ensuring safe stimulation and high-quality recording for various bioelectronics such as neuromodulation devices and brain-computer interfaces. With the miniaturization of electrodes and the increasing demand for multi-functionality, the incorporation of coating materials via electrodeposition to enhance electrodes performance emerges as a highly effective strategy. These coatings not only substantially improve the stimulation and recording performance of electrodes but also introduce additional functionalities. This review began by outlining the application scenarios and critical requirements of neural electrodes. It then delved into the deposition principles and key influencing factors. Furthermore, the advancements in the electrochemical performance and adhesion stability of these coatings were reviewed. Ultimately, the latest innovative works in the electrodeposited coating applications were highlighted, and future perspectives were summarized.
Collapse
Affiliation(s)
- Linze Li
- School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.
| | - Changqing Jiang
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China.
| |
Collapse
|
2
|
Zhou H, Qiao K, Rao L, Zhai HJ. Nanosilica cross-linked polyurethane hybrid hydrogels to stabilize the silicone rubber based invasive electrode-neural tissue interface. Colloids Surf B Biointerfaces 2025; 251:114643. [PMID: 40121857 DOI: 10.1016/j.colsurfb.2025.114643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2025] [Revised: 02/28/2025] [Accepted: 03/17/2025] [Indexed: 03/25/2025]
Abstract
An unstable electrode-neural tissue interface induced by tissue inflammatory response hinders the application of invasive brain-computer interfaces (BCIs). In this work, nanosilica cross-linked polyurethane (SiO2/PU) hybrid hydrogels were prepared to serve as the coatings and to modify silicone rubber (SR), which is a commonly used encapsulation material of invasive electrodes for neural recording/stimulation. The hydrophilicity, swelling ratio, and bulk ionic conductivity of SiO2/PU hybrid hydrogels were tailored by incorporating different amount of SiO2 serving as the cross-linking agent. Correspondingly, the optimized SiO2/PU hybrid hydrogel coatings have less impact on the electrochemical properties of invasive electrodes relative to PU hydrogel. Cell affinity assays with rat pheochromocytoma cells reveal that coatings made of SiO2/PU hybrid hydrogels are more effective in enhancing their adhesion and neurite outgrowth than those made of PU hydrogels. The adsorption amount of non-specific proteins on SR is significantly reduced by 81.6 % and 92.6 % upon coating with PU hydrogels and SiO2/PU hybrid hydrogels, respectively. Histological assessment indicates that the SR implants with a SiO2/PU hybrid hydrogel coating provoke the mildest tissue response. Collectively, the SiO2/PU hybrid hydrogel is highly promising for the stabilization of electrode-neural tissue interface, which is crucial for the development of invasive BCIs.
Collapse
Affiliation(s)
- Haihan Zhou
- Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.
| | - Kuoying Qiao
- Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China
| | - Li Rao
- Department of Geriatrics, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Hua-Jin Zhai
- Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.
| |
Collapse
|
3
|
Peng L, Wang L, Wu S, Gu M, Deng S, Liu J, Cheng CK, Sui X. Biomechanics characterization of an implantable ultrathin intracortical electrode through finite element method. Sci Rep 2025; 15:19938. [PMID: 40481078 PMCID: PMC12144109 DOI: 10.1038/s41598-025-04737-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2025] [Accepted: 05/28/2025] [Indexed: 06/11/2025] Open
Abstract
Neural electrodes are widely used in brain-computer interfaces and neuroprosthesis for the treatment of various neurological disorders. However, as components that come into direct contact with neural tissue, implanted neural electrodes could cause mechanical damage during surgical insertions or while inside the brain. Thus, accurately and timely assessing this damage was vital for chronic implantation, which posed a significant challenge. This study aimed to evaluate the biomechanical effects and clinical application risks of a polyimide-based ultrathin flexible intracortical microelectrode through the finite element method (FEM). It analyzed the electrode-brain biomechanical effects during the electrode's insertion process and under steady-state acceleration with the electrode inside the brain. Furthermore, the study examined the impact of factors including implantation depth (ranging from 5 to 5000 μm), cortical thickness (0.5 mm, 2.5 mm, and 4.5 mm), step displacement (from 1 to 5 μm) during insertion, and acceleration direction (vertical and horizontal) on the electrode's biomechanical effects. The primary findings showed that the 98th percentile Von Mises Strain (ε98) and Von Mises Stress (σ98) in the region of interest (ROI) decreased dual-exponentially with increasing implantation depth and increased linearly with larger step displacements. Compared to the Von Mises strain threshold of 14.65%, as proposed by Sahoo et al., indicating a 50% risk of diffuse axonal injury (DAI), it was recommended to limit the initial step displacement during insertion to 1 μm, increasing to 5 μm at deeper locations (over 500 μm) to balance safety and efficiency. Additionally, it was found that cortical thickness had a negligible impact during insertion and while experiencing steady-state acceleration in vivo, with the three fitted curves almost coinciding when cortical thicknesses were 0.5 mm, 2.5 mm, and 4.5 mm. The flexible electrode exhibited excellent mechanical performance under steady-state acceleration in vivo, with ε98 being less than 0.3% and σ98 being less than 50 Pa, although it was more sensitive to horizontal acceleration. Thus, it could be concluded that during long-duration accelerations from transportation modes such as elevators and high-speed trains, the electrode's mechanical effects on brain tissue could be neglected, demonstrating long-term mechanical stability. This research was significant for guiding surgical insertion and clinical applications of flexible electrodes.
Collapse
Affiliation(s)
- Linsen Peng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Longchun Wang
- National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shuhui Wu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Mingcheng Gu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shang Deng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jingquan Liu
- National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Cheng-Kung Cheng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Med-X Research Institute, Engineering Research Center of Digital Medicine, Shanghai Jiao Tong University, Ministry of Education, Shanghai, 200240, China.
| | - Xiaohong Sui
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| |
Collapse
|
4
|
Wang M, Zhang Y, Wang A, Gan Z, Zhang L, Kang X. Soft neural interface with color adjusted PDMS encapsulation layer for spinal cord stimulation. J Neurosci Methods 2025; 417:110402. [PMID: 39983772 DOI: 10.1016/j.jneumeth.2025.110402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 01/23/2025] [Accepted: 02/17/2025] [Indexed: 02/23/2025]
Abstract
BACKGROUND Spinal cord stimulation (SCS) plays a crucial role in treating various neurological diseases. Utilizing soft spinal cord electrodes in SCS allows for a better fit with the physiological structure of the spinal cord and reduces tissue damage. Polydimethylsiloxane (PDMS) has emerged as an ideal material for soft bioelectronics. However, micromachining soft PDMS bioelectronics devices with low thermal effects and high uniformity remains challenging. NEW METHOD Here, we demonstrated a fully laser-micromachined soft neural interface for SCS. The native and color adjusted PDMS with variable absorbance characteristics were investigated in laser processing. In addition, we systematically evaluated the impact of electrode sizes on the electrochemical performance of neural interface. By fitting the equivalent circuit model, the electrochemical process of neural interface was revealed and the performance of the electrode was evaluated. The biocompatibility of color adjusted PDMS was confirmed by cytotoxicity assays. Finally, we validated the neural interface in mice. RESULTS Color adjusted PDMS has good biocompatibility and can significantly reduce the damage caused by thermal effects, enhancing the electrochemical performance of bioelectronic devices. The soft neural interface with color adjusted PDMS encapsulation layer can activate the motor function safely. COMPARISON WITH EXISTING METHODS The fully laser-micromachined soft neural interface was proposed for the first time. Compared with existing methods, this method showed low thermal effects, high uniformity, and could be easily scaled up. CONCLUSIONS The fully laser-micromachined soft neural interface device with color adjusted PDMS encapsulation layer shows great promise for applications in SCS.
Collapse
Affiliation(s)
- Minjie Wang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China
| | - Yuan Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China
| | - Aiping Wang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China
| | - Zhongxue Gan
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China
| | - Lihua Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China
| | - Xiaoyang Kang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Fudan University, Shanghai, PR China; Yiwu Research Institute of Fudan University, Yiwu, PR China.
| |
Collapse
|
5
|
Johnson C, Miller G, Shah S, Stevens C, Thomas N, Toms J, Arevalo O. Unveiling patterns of peri-lead edema after deep brain stimulation: a retrospective review of clinical and demographic factors. Neuroradiology 2025:10.1007/s00234-025-03607-z. [PMID: 40198366 DOI: 10.1007/s00234-025-03607-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2025] [Accepted: 03/28/2025] [Indexed: 04/10/2025]
Abstract
OBJECTIVE Postoperative peri-lead edema (PLE) is an increasingly recognized complication of deep brain stimulation (DBS), a therapeutic intervention commonly used for neurological conditions such as Parkinson's disease (PD), essential tremor (ET), intractable focal epilepsy, and dystonia. In this study, we conducted a retrospective chart review to evaluate the incidence of PLE and explore potential clinical and demographic risk factors. METHODS A single physician performed DBS electrode placements. To check for complications, postoperative computed tomography (CT) scans were conducted on the day of surgery and approximately 12-15 days afterward. Data on age, gender, complications, edema size, electrode laterality, lead target, lead brand, indication, and use of robotic assistance versus Starfix were collected and analyzed statistically. RESULTS 133 leads were implanted in 63 patients, with peri-lead edema (PLE) observed in 65 electrodes (48.87%). Minor postoperative complications, such as subarachnoid hemorrhage (SAH) and subdural hematoma (SDH), were noted in some patients. A few cases of severe PLE were recorded, with the most significant volume of edema reaching 85.11 cm³. No statistically significant differences were found between PLE-positive and PLE-negative patients based on age, sex, lead target, indication, or robotic assistance versus Starfix. However, the use of Boston Scientific electrodes was significantly associated with PLE, with a p-value of 0.047. A logistic regression model (p = 0.013, R² = 0.219) correctly classified 63.2% of cases, with no significant predictors of PLE, but imaging complications (p = 0.057) and electrode brand (p = 0.086) approached significance, with Boston Scientific electrodes linked to higher PLE risk compared to Abbott electrodes (p = 0.027, OR = 3.729). CONCLUSIONS PLE appears more prevalent than previously reported and generally presents with delayed onset post-surgery. This retrospective analysis identified the use of Boston Scientific electrodes as a potential risk factor for PLE. Further research, particularly more extensive studies, is necessary to clarify the underlying mechanisms of PLE, improve prevention strategies, and enhance our understanding of this complication.
Collapse
Affiliation(s)
- Coplen Johnson
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| | - Garret Miller
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| | - Shivam Shah
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| | - Christopher Stevens
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA.
| | - Nicholas Thomas
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| | - Jamie Toms
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| | - Octavio Arevalo
- Louisiana State University Health Sciences Center Shreveport, Shreveport, USA
| |
Collapse
|
6
|
Ahmed AA, Alegret N, Almeida B, Alvarez-Puebla R, Andrews AM, Ballerini L, Barrios-Capuchino JJ, Becker C, Blick RH, Bonakdar S, Chakraborty I, Chen X, Cheon J, Chilla G, Coelho Conceicao AL, Delehanty J, Dulle M, Efros AL, Epple M, Fedyk M, Feliu N, Feng M, Fernández-Chacón R, Fernandez-Cuesta I, Fertig N, Förster S, Garrido JA, George M, Guse AH, Hampp N, Harberts J, Han J, Heekeren HR, Hofmann UG, Holzapfel M, Hosseinkazemi H, Huang Y, Huber P, Hyeon T, Ingebrandt S, Ienca M, Iske A, Kang Y, Kasieczka G, Kim DH, Kostarelos K, Lee JH, Lin KW, Liu S, Liu X, Liu Y, Lohr C, Mailänder V, Maffongelli L, Megahed S, Mews A, Mutas M, Nack L, Nakatsuka N, Oertner TG, Offenhäusser A, Oheim M, Otange B, Otto F, Patrono E, Peng B, Picchiotti A, Pierini F, Pötter-Nerger M, Pozzi M, Pralle A, Prato M, Qi B, Ramos-Cabrer P, Genger UR, Ritter N, Rittner M, Roy S, Santoro F, Schuck NW, Schulz F, Şeker E, Skiba M, Sosniok M, Stephan H, Wang R, Wang T, Wegner KD, Weiss PS, Xu M, Yang C, Zargarian SS, Zeng Y, Zhou Y, Zhu D, Zierold R, Parak WJ. Interfacing with the Brain: How Nanotechnology Can Contribute. ACS NANO 2025; 19:10630-10717. [PMID: 40063703 PMCID: PMC11948619 DOI: 10.1021/acsnano.4c10525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 12/19/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with the available technology. Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encompasses engineered solid-state objects and integrated circuits, excels at small length scales of single to a few hundred nanometers and, thus, matches the sizes of biomolecules, biomolecular assemblies, and parts of cells. Consequently, we envision nanomaterials and nanotools as opportunities to interface with the brain in alternative ways. Here, we review the existing literature on the use of nanotechnology in brain-machine interfaces and look forward in discussing perspectives and limitations based on the authors' expertise across a range of complementary disciplines─from neuroscience, engineering, physics, and chemistry to biology and medicine, computer science and mathematics, and social science and jurisprudence. We focus on nanotechnology but also include information from related fields when useful and complementary.
Collapse
Affiliation(s)
- Abdullah
A. A. Ahmed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Department
of Physics, Faculty of Applied Science, Thamar University, Dhamar 87246, Yemen
| | - Nuria Alegret
- Biogipuzkoa
HRI, Paseo Dr. Begiristain
s/n, 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bethany Almeida
- Department
of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, United States
| | - Ramón Alvarez-Puebla
- Universitat
Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, 08010 Barcelona, Spain
| | - Anne M. Andrews
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- Neuroscience
Interdepartmental Program, University of
California, Los Angeles, Los Angeles, California 90095, United States
- Department
of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience
& Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
- California
Nanosystems Institute, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Laura Ballerini
- Neuroscience
Area, International School for Advanced
Studies (SISSA/ISAS), Trieste 34136, Italy
| | | | - Charline Becker
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Robert H. Blick
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Shahin Bonakdar
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- National
Cell Bank Department, Pasteur Institute
of Iran, P.O. Box 1316943551, Tehran, Iran
| | - Indranath Chakraborty
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Nano Science and Technology, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Xiaodong Chen
- Innovative
Center for Flexible Devices (iFLEX), Max Planck − NTU Joint
Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jinwoo Cheon
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
- Department
of Chemistry, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Gerwin Chilla
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - James Delehanty
- U.S. Naval
Research Laboratory, Washington, D.C. 20375, United States
| | - Martin Dulle
- JCNS-1, Forschungszentrum
Jülich, 52428 Jülich, Germany
| | | | - Matthias Epple
- Inorganic
Chemistry and Center for Nanointegration Duisburg-Essen (CeNIDE), University of Duisburg-Essen, 45117 Essen, Germany
| | - Mark Fedyk
- Center
for Neuroengineering and Medicine, UC Davis, Sacramento, California 95817, United States
| | - Neus Feliu
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Miao Feng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Rafael Fernández-Chacón
- Instituto
de Biomedicina de Sevilla (IBiS), Hospital
Universitario Virgen del Rocío/Consejo Superior de Investigaciones
Científicas/Universidad de Sevilla, 41013 Seville, Spain
- Departamento
de Fisiología Médica y Biofísica, Facultad de
Medicina, Universidad de Sevilla, CIBERNED,
ISCIII, 41013 Seville, Spain
| | | | - Niels Fertig
- Nanion
Technologies GmbH, 80339 München, Germany
| | | | - Jose A. Garrido
- ICREA, 08010 Barcelona, Spain
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
| | | | - Andreas H. Guse
- The Calcium
Signaling Group, Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Norbert Hampp
- Fachbereich
Chemie, Universität Marburg, 35032 Marburg, Germany
| | - Jann Harberts
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Drug Delivery,
Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
- Melbourne
Centre for Nanofabrication, Victorian Node
of the Australian National Fabrication Facility, Clayton, Victoria 3168, Australia
| | - Jili Han
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Hauke R. Heekeren
- Executive
University Board, Universität Hamburg, 20148 Hamburg Germany
| | - Ulrich G. Hofmann
- Section
for Neuroelectronic Systems, Department for Neurosurgery, University Medical Center Freiburg, 79108 Freiburg, Germany
- Faculty
of Medicine, University of Freiburg, 79110 Freiburg, Germany
| | - Malte Holzapfel
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | | | - Yalan Huang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Patrick Huber
- Institute
for Materials and X-ray Physics, Hamburg
University of Technology, 21073 Hamburg, Germany
- Center
for X-ray and Nano Science CXNS, Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Taeghwan Hyeon
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Sven Ingebrandt
- Institute
of Materials in Electrical Engineering 1, RWTH Aachen University, 52074 Aachen, Germany
| | - Marcello Ienca
- Institute
for Ethics and History of Medicine, School of Medicine and Health, Technische Universität München (TUM), 81675 München, Germany
| | - Armin Iske
- Fachbereich
Mathematik, Universität Hamburg, 20146 Hamburg, Germany
| | - Yanan Kang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Dae-Hyeong Kim
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Kostas Kostarelos
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
- Centre
for Nanotechnology in Medicine, Faculty of Biology, Medicine &
Health and The National Graphene Institute, University of Manchester, Manchester M13 9PL, United
Kingdom
| | - Jae-Hyun Lee
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Kai-Wei Lin
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sijin Liu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yang Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Christian Lohr
- Fachbereich
Biologie, Universität Hamburg, 20146 Hamburg, Germany
| | - Volker Mailänder
- Department
of Dermatology, Center for Translational Nanomedicine, Universitätsmedizin der Johannes-Gutenberg,
Universität Mainz, 55131 Mainz, Germany
- Max Planck
Institute for Polymer Research, Ackermannweg 10, 55129 Mainz, Germany
| | - Laura Maffongelli
- Institute
of Medical Psychology, University of Lübeck, 23562 Lübeck, Germany
| | - Saad Megahed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Physics
Department, Faculty of Science, Al-Azhar
University, 4434104 Cairo, Egypt
| | - Alf Mews
- Fachbereich
Chemie, Universität Hamburg, 20146 Hamburg, Germany
| | - Marina Mutas
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Leroy Nack
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Nako Nakatsuka
- Laboratory
of Chemical Nanotechnology (CHEMINA), Neuro-X
Institute, École Polytechnique Fédérale de Lausanne
(EPFL), Geneva CH-1202, Switzerland
| | - Thomas G. Oertner
- Institute
for Synaptic Neuroscience, University Medical
Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Andreas Offenhäusser
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
| | - Martin Oheim
- Université
Paris Cité, CNRS, Saints Pères
Paris Institute for the Neurosciences, 75006 Paris, France
| | - Ben Otange
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Ferdinand Otto
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Enrico Patrono
- Institute
of Physiology, Czech Academy of Sciences, Prague 12000, Czech Republic
| | - Bo Peng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Filippo Pierini
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Monika Pötter-Nerger
- Head and
Neurocenter, Department of Neurology, University
Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Maria Pozzi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Arnd Pralle
- University
at Buffalo, Department of Physics, Buffalo, New York 14260, United States
| | - Maurizio Prato
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Department
of Chemical and Pharmaceutical Sciences, University of Trieste, 34127 Trieste, Italy
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bing Qi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Life Sciences, Southern University of
Science and Technology, Shenzhen, 518055, China
| | - Pedro Ramos-Cabrer
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Ute Resch Genger
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - Norbert Ritter
- Executive
Faculty Board, Faculty for Mathematics, Informatics and Natural Sciences, Universität Hamburg, 20345 Hamburg, Germany
| | - Marten Rittner
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sathi Roy
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
- Department
of Mechanical Engineering, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Francesca Santoro
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
- Faculty
of Electrical Engineering and Information Technology, RWTH Aachen, 52074 Aachen, Germany
| | - Nicolas W. Schuck
- Institute
of Psychology, Universität Hamburg, 20146 Hamburg, Germany
- Max Planck
Research Group NeuroCode, Max Planck Institute
for Human Development, 14195 Berlin, Germany
- Max Planck
UCL Centre for Computational Psychiatry and Ageing Research, 14195 Berlin, Germany
| | - Florian Schulz
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Erkin Şeker
- University
of California, Davis, Davis, California 95616, United States
| | - Marvin Skiba
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Martin Sosniok
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Holger Stephan
- Helmholtz-Zentrum
Dresden-Rossendorf, Institute of Radiopharmaceutical
Cancer Research, 01328 Dresden, Germany
| | - Ruixia Wang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Ting Wang
- State Key
Laboratory of Organic Electronics and Information Displays & Jiangsu
Key Laboratory for Biosensors, Institute of Advanced Materials (IAM),
Jiangsu National Synergetic Innovation Center for Advanced Materials
(SICAM), Nanjing University of Posts and
Telecommunications, Nanjing 210023, China
| | - K. David Wegner
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - Paul S. Weiss
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- California
Nanosystems Institute, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Department
of Materials Science and Engineering, University
of California, Los Angeles, Los
Angeles, California 90095, United States
| | - Ming Xu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Chenxi Yang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Seyed Shahrooz Zargarian
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Yuan Zeng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yaofeng Zhou
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Dingcheng Zhu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- College
of Material, Chemistry and Chemical Engineering, Key Laboratory of
Organosilicon Chemistry and Material Technology, Ministry of Education,
Key Laboratory of Organosilicon Material Technology, Hangzhou Normal University, Hangzhou 311121, China
| | - Robert Zierold
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | |
Collapse
|
7
|
Liu J, Yang Z, Wang Y, Wang L, Li Z. Editorial: Micro/nano devices and technologies for neural science and medical applications. Front Bioeng Biotechnol 2025; 12:1545853. [PMID: 39834638 PMCID: PMC11743431 DOI: 10.3389/fbioe.2024.1545853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Accepted: 12/19/2024] [Indexed: 01/22/2025] Open
Affiliation(s)
- Juntao Liu
- Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Zhugen Yang
- Centre for Water, Environment and Development, Cranfield University, Cranfield, Oxfordshire, United Kingdom
| | - Yang Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Li Wang
- Faculty of Mechanical Engineering, Qilu University of Technology, Ji’nan, China
| | - Ziyue Li
- University of Connecticut Health Center, University of Connecticut, Storrs, CT, United States
| |
Collapse
|
8
|
Tan K, Ma H, Mu X, Wang Z, Wang Q, Wang H, Zhang XD. Application of gold nanoclusters in fluorescence sensing and biological detection. Anal Bioanal Chem 2024; 416:5871-5891. [PMID: 38436693 DOI: 10.1007/s00216-024-05220-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/29/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024]
Abstract
Gold nanoclusters (Au NCs) exhibit broad fluorescent spectra from visible to near-infrared regions and good enzyme-mimicking catalytic activities. Combined with excellent stability and exceptional biocompatibility, the Au NCs have been widely exploited in biomedicine such as biocatalysis and bioimaging. Especially, the long fluorescence lifetime and large Stokes shift attribute Au NCs to good probes for fluorescence sensing and biological detection. In this review, we systematically summarized the molecular structure and fluorescence properties of Au NCs and highlighted the advances in fluorescence sensing and biological detection. The Au NCs display high sensitivity and specificity in detecting iodine ions, metal ions, and reactive oxygen species, as well as certain diseases based on the fluorescence activities of Au NCs. We also proposed several points to improve the practicability and accelerate the clinical translation of the Au NCs.
Collapse
Affiliation(s)
- Kexin Tan
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Huizhen Ma
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin, 300350, China
| | - Xiaoyu Mu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Zhidong Wang
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China
| | - Qi Wang
- Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China.
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin, 300350, China.
| |
Collapse
|
9
|
Liu S, Sun X, Wang Y, Liu K, Liu R, Zhang Y, Ni Z, Tang W, Zhang S, Mu X, Wang H, Zhang XD, Ming D. A nanowell-based MoS 2 neuroelectrode for high-sensitivity neural recording. iScience 2024; 27:110949. [PMID: 39391733 PMCID: PMC11465046 DOI: 10.1016/j.isci.2024.110949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 05/06/2024] [Accepted: 09/10/2024] [Indexed: 10/12/2024] Open
Abstract
Implantable neural electrodes are crucial in neurological diagnosis and therapy because of their ultra-high spatial resolution, but they are constrained by high impedance and insufficient charge injection capacity, resulting in noise that often obscures valuable signals. Emerging nanotechnologies are powerful tools to improve sensitivity and biocompatibility. Herein, we developed quantized 2D MoS2 electrodes by incorporating bioactive MoS2 nanosheets onto bare electrodes, achieving sensitive, compatible recording. The 2D materials can create tiny nanowells, which behaved as quantized charge storage units and thus improved sensitivity. The key sensitivity indicators, impedance and cathode charge storage capacity, showed a multifold increase. The 17.7-fold improvement in catalytic activity of MoS2 electrodes facilitated effective current transmission and reduced inflammatory response. In vivo recording showed that the sensitivity of local field potentials increased throughout frequency range and peaked at a 4.7-fold in β rhythm. This work provides a general strategy for achieving effective diagnoses of neurological disorders.
Collapse
Affiliation(s)
- Shuangjie Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Xinyu Sun
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yang Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Kaijin Liu
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, Institute of Advanced Materials Physics, School of Sciences, Tianjin University, Tianjin 300350, China
| | - Renpeng Liu
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, Institute of Advanced Materials Physics, School of Sciences, Tianjin University, Tianjin 300350, China
| | - Yuqin Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Zhaoliang Ni
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Wanyu Tang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Shaofang Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Xiaoyu Mu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, Institute of Advanced Materials Physics, School of Sciences, Tianjin University, Tianjin 300350, China
| | - Dong Ming
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| |
Collapse
|
10
|
Xiang Y, Zhao Y, Cheng T, Sun S, Wang J, Pei R. Implantable Neural Microelectrodes: How to Reduce Immune Response. ACS Biomater Sci Eng 2024; 10:2762-2783. [PMID: 38591141 DOI: 10.1021/acsbiomaterials.4c00238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
Implantable neural microelectrodes exhibit the great ability to accurately capture the electrophysiological signals from individual neurons with exceptional submillisecond precision, holding tremendous potential for advancing brain science research, as well as offering promising avenues for neurological disease therapy. Although significant advancements have been made in the channel and density of implantable neural microelectrodes, challenges persist in extending the stable recording duration of these microelectrodes. The enduring stability of implanted electrode signals is primarily influenced by the chronic immune response triggered by the slight movement of the electrode within the neural tissue. The intensity of this immune response increases with a higher bending stiffness of the electrode. This Review thoroughly analyzes the sequential reactions evoked by implanted electrodes in the brain and highlights strategies aimed at mitigating chronic immune responses. Minimizing immune response mainly includes designing the microelectrode structure, selecting flexible materials, surface modification, and controlling drug release. The purpose of this paper is to provide valuable references and ideas for reducing the immune response of implantable neural microelectrodes and stimulate their further exploration in the field of brain science.
Collapse
Affiliation(s)
- Ying Xiang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China (USTC), Hefei 230026, PR China
- CAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Yuewu Zhao
- CAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Tingting Cheng
- CAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Shengkai Sun
- CAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| | - Jine Wang
- Jiangxi Institute of Nanotechnology, Nanchang 330200, China
- College of Medicine and Nursing, Shandong Provincial Engineering Laboratory of Novel Pharmaceutical Excipients, Sustained and Controlled Release Preparations, Dezhou University, Dezhou 253023, China
| | - Renjun Pei
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China (USTC), Hefei 230026, PR China
- CAS Key Laboratory of Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China
| |
Collapse
|
11
|
Cho YU, Lee JY, Yu KJ. Integration of in vivo electrophysiology and optogenetics in rodents with PEDOT:PSS neural electrode array. STAR Protoc 2024; 5:102909. [PMID: 38427565 PMCID: PMC10918330 DOI: 10.1016/j.xpro.2024.102909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/27/2023] [Accepted: 02/07/2024] [Indexed: 03/03/2024] Open
Abstract
Here, we present a protocol for the fabrication of transparent implantable electrode arrays for integrating optogenetics and electrophysiology. We describe steps for fabricating microelectrodes using the conductive polymer poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate). We then detail procedures for analyzing performance of the electrodes and recording light-evoked neural activities from the transgenic mouse. This protocol utilizes photolithography rather than conventional electrodeposition. For complete details on the use and execution of this protocol, please refer to Cho et al. (2022).1.
Collapse
Affiliation(s)
- Young Uk Cho
- School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul 03722, Republic of Korea
| | - Ju Young Lee
- School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul 03722, Republic of Korea
| | - Ki Jun Yu
- School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul 03722, Republic of Korea; School of Electrical and Electronic Engineering, YU-KIST Institute, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul 03722, Republic of Korea.
| |
Collapse
|
12
|
Liu S, Wang Y, Zhao Y, Liu L, Sun S, Zhang S, Liu H, Liu S, Li Y, Yang F, Jiao M, Sun X, Zhang Y, Liu R, Mu X, Wang H, Zhang S, Yang J, Xie X, Duan X, Zhang J, Hong G, Zhang XD, Ming D. A Nanozyme-Based Electrode for High-Performance Neural Recording. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2304297. [PMID: 37882151 DOI: 10.1002/adma.202304297] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 10/19/2023] [Indexed: 10/27/2023]
Abstract
Implanted neural electrodes have been widely used to treat brain diseases that require high sensitivity and biocompatibility at the tissue-electrode interface. However, currently used clinical electrodes cannot meet both these requirements simultaneously, which hinders the effective recording of electronic signals. Herein, nanozyme-based neural electrodes incorporating bioinspired atomically precise clusters are developed as a general strategy with a heterogeneous design for multiscale and ultrasensitive neural recording via quantum transport and biocatalytic processes. Owing to the dual high-speed electronic and ionic currents at the electrode-tissue interface, the impedance of nanozyme electrodes is 26 times lower than that of state-of-the-art metal electrodes, and the acquisition sensitivity for the local field potential is ≈10 times higher than that of clinical PtIr electrodes, enabling a signal-to-noise ratio (SNR) of up to 14.7 dB for single-neuron recordings in rats. The electrodes provide more than 100-fold higher antioxidant and multi-enzyme-like activities, which effectively decrease 67% of the neuronal injury area by inhibiting glial proliferation and allowing sensitive and stable neural recording. Moreover, nanozyme electrodes can considerably improve the SNR of seizures in acute epileptic rats and are expected to achieve precise localization of seizure foci in clinical settings.
Collapse
Affiliation(s)
- Shuangjie Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Yang Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Yue Zhao
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Ling Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Si Sun
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Shaofang Zhang
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Haile Liu
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Shuhu Liu
- Beijing Synchrotron Radiation Facility (BSRF), Institute of High Energy Physics (IHEP), Chinese Academy of Sciences (CAS), Beijing, 100049, China
| | - Yonghui Li
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, California, 94305, USA
| | - Menglu Jiao
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Xinyu Sun
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Yuqin Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Renpeng Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Xiaoyu Mu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| | - Shu Zhang
- Tianjin Neurological Institute, Department of Neurosurgery, General Hospital, Tianjin Medical University, Tianjin, 300041, China
| | - Jiang Yang
- School of Electronics and Information Technology and Medicine, Sun Yat-sen University, Guangzhou, 510060, China
| | - Xi Xie
- School of Electronics and Information Technology and Medicine, Sun Yat-sen University, Guangzhou, 510060, China
| | - Xiaojie Duan
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China
| | - Jianning Zhang
- Tianjin Neurological Institute, Department of Neurosurgery, General Hospital, Tianjin Medical University, Tianjin, 300041, China
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, California, 94305, USA
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
- Department of Physics and Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Science, Tianjin University, Tianjin, 300354, China
| | - Dong Ming
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
| |
Collapse
|
13
|
Kim YH, Koo H, Kim MS, Jung SD. Fabrication of a photo-crosslinkable fluoropolymer-passivated flexible neural probe and acute recording and stimulation performances in vivo. BIOMATERIALS ADVANCES 2023; 154:213629. [PMID: 37742557 DOI: 10.1016/j.bioadv.2023.213629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 08/25/2023] [Accepted: 09/16/2023] [Indexed: 09/26/2023]
Abstract
Herein, we fabricated fluorine-containing, polymer-based, flexible neural probes with fluorinated ethylene propylene (FEP) films as the substrates and photo-crosslinkable fluoropolymers as the passivation material. For fabrication, metal-free Au layer formation on the FEP film, the simultaneous photo-adhesion and photo-patterning technique, and the pulsed-laser scanning probe shaping technique were combined, followed by Au electrode surface modification. The resultant probes achieved a charge injection limit equal to 5.18 mC cm-2 by implementing iridium oxide-modified nanoporous Au (IrOx/NPG) structures. We performed simultaneous in vivo micro-stimulations of the Schaffer collateral fibres and recorded the evoked field excitatory postsynaptic potentials (fEPSPs) in the stratum radiatum layer of the hippocampal Cornu Ammonis 1 region using a single probe. Inducing the fEPSP at very low charge per pulse settings (3.2-3.6 nC/pulse) indicates the efficient charge injection capability of the IrOx/NPG electrode, thereby enabling safe, prolonged, and thrifty micro-stimulations. Furthermore, the single probe-induced and recorded long-term potentiation persisted for periods longer than 60 min following theta-burst stimulation. The materials used in this study are all biocompatible and chemically robust. The fabricated neural probes can be applied in chronic clinical trials in vivo.
Collapse
Affiliation(s)
- Yong Hee Kim
- Cybre Brain Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea
| | - Ho Koo
- Department of Neuroscience, Cell Biology, and Anatomy, University of Texas Medical Branch, Galveston, TX, United States
| | - Min Sun Kim
- Department of Physiology, Wonkwang University School of Medicine, 895 Munwang-ro, Iksan 570-711, Jeollabuk-do, Republic of Korea
| | - Sang-Don Jung
- Cybre Brain Research Section, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Republic of Korea.
| |
Collapse
|
14
|
Lee S, Park S, Park J, Lee JY. Implantable polypyrrole bioelectrodes inducing anti-inflammatory macrophage polarization for long-term in vivo signal recording. Acta Biomater 2023; 168:458-469. [PMID: 37414115 DOI: 10.1016/j.actbio.2023.06.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/06/2023] [Accepted: 06/27/2023] [Indexed: 07/08/2023]
Abstract
Bioelectrodes are critical components of implantable electronic devices that enable precise electrical signal transmission in close contact with living tissues. However, their in vivo performance is often compromised by inflammatory tissue reactions mainly induced by macrophages. Hence, we aimed to develop implantable bioelectrodes with high performance and high biocompatibility by actively modulating the inflammatory response of macrophages. Consequently, we fabricated heparin-doped polypyrrole electrodes (PPy/Hep) and immobilized anti-inflammatory cytokines (interleukin-4 [IL-4]) via non-covalent interactions. IL-4 immobilization did not alter the electrochemical performance of the original PPy/Hep electrodes. In vitro primary macrophage culture revealed that IL-4-immobilized PPy/Hep electrodes induced anti-inflammatory polarization of macrophages, similar to the soluble IL-4 control. In vivo subcutaneous implantation indicated that IL-4 immobilization on PPy/Hep promoted the anti-inflammatory polarization of host macrophages and significantly mitigated scarring around the implanted electrodes. In addition, high-sensitivity electrocardiogram signals were recorded from the implanted IL-4-immobilized PPy/Hep electrodes and compared to bare gold and PPy/Hep electrodes, which were maintained for up to 15 days post-implantation. This simple and effective surface modification strategy for developing immune-compatible bioelectrodes will facilitate the development of various electronic medical devices that require high sensitivities and long-term stabilities. STATEMENT OF SIGNIFICANCE: To fabricate highly immunocompatible conductive polymer-based implantable electrodes with high performance and stability in vivo, we introduced the anti-inflammatory activity to PPy/Hep electrodes by immobilizing IL-4 via non-covalent surface modification. IL-4-immobilized PPy/Hep could significantly mitigate inflammatory responses and scarring around implants by skewing macrophages to an anti-inflammatory phenotype. The IL-4-immobilized PPy/Hep electrodes could successfully record in vivo electrocardiogram signals for up to 15 days with no substantial sensitivity loss, retaining their superior sensitivity compared to bare gold and pristine PPy/Hep electrodes. Our simple and effective surface modification strategy for developing immune-compatible bioelectrodes will facilitate the development of various electronic medical devices that require high sensitivities and long-term stabilities, such as neural electrode arrays, biosensors, and cochlear electrodes.
Collapse
Affiliation(s)
- Sanghun Lee
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Sehyeon Park
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Junggeon Park
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Jae Young Lee
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
| |
Collapse
|
15
|
Yan M, Wang L, Wu Y, Liao X, Zhong C, Wang L, Lu Y. Conducting Polymer-Hydrogel Interpenetrating Networks for Improving the Electrode-Neural Interface. ACS APPLIED MATERIALS & INTERFACES 2023; 15:41310-41323. [PMID: 37590473 DOI: 10.1021/acsami.3c07189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Implantable neural microelectrodes are recognized as a bridge for information exchange between inner organisms and outer devices. Combined with novel modulation technologies such as optogenetics, it offers a highly precise methodology for the dissection of brain functions. However, achieving chronically effective and stable microelectrodes to explore the electrophysiological characteristics of specific neurons in free-behaving animals continually poses great challenges. To resolve this, poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)/poly(vinyl alcohol) (PEDOT/PSS/PVA) interpenetrating conducting polymer networks (ICPN) are fabricated via a hydrogel scaffold precoating and electrochemical polymerization process to improve the performance of neural microelectrodes. The ICPN films exhibit robust interfacial adhesion, a significantly lower electrochemical impedance, superior mechanical properties, and improved electrochemical stability compared to the pure poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)(PEDOT/PSS) films, which may be attributed to the three-dimensional (3D) porous microstructure of the ICPN. Hippocampal neurons and rat pheochromocytoma cells (PC12 cells) adhesion on ICPN and neurite outgrowth are observed, indicating enhanced biocompatibility. Furthermore, alleviated tissue response at the electrode-neural tissue interface and improved recording signal quality are confirmed by histological and electrophysiological studies, respectively. Owing to these merits, optogenetic modulations and electrophysiological recordings are performed in vivo, and an anxiolytic effect of hippocampal glutamatergic neurons on behavior is shown. This study demonstrates the effectiveness and advantages of ICPN-modified neural implants for in vivo applications.
Collapse
Affiliation(s)
- Mengying Yan
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Lulu Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yiyong Wu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Xin Liao
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Cheng Zhong
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Liping Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yi Lu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| |
Collapse
|
16
|
Tian G, Yang D, Chen C, Duan X, Kim DH, Chen H. Simultaneous Presentation of Dexamethasone and Nerve Growth Factor via Layered Carbon Nanotubes and Polypyrrole to Interface Neural Cells. ACS Biomater Sci Eng 2023; 9:5015-5027. [PMID: 37489848 DOI: 10.1021/acsbiomaterials.3c00593] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
The implantation of neural electrodes usually induces acute and chronic inflammation, which can result in the formation of glial scars encapsulating the implanted electrodes and the loss of neurons near the active electrode sites. Local presentation of anti-inflammatory drugs or neural protective factors has been evidenced as an effective strategy to modulate inflammatory responses and promote electrode-neuron integration. Here, a novel delivery system for the simultaneous presentation of both anti-inflammatory drugs (dexamethasone, Dex) and nerve-growth-promoting factors (nerve growth factor, NGF) from the electrode sites was developed via layer-structured carbon nanotubes and conductive polymers. The modified electrodes exhibited higher charge storage capacitance and lower electrochemical impedance compared to unmodified electrodes and electrodes coated with polypyrrole/Dex. Dex released from the functional coating under controlled electrochemical stimulation was able to inhibit the lipopolysaccharide-induced secretion or mRNA transcription of inflammatory cytokines, including nitric oxide, TNF-α, and IL-6 in RAW264.7 cells, and control the activation of cultured astrocytes. In addition, the functional coatings did not show a toxic effect on PC12 cells and primary neural cells but exhibited promoted activities on the adhesion, growth, and neurite extension of neural cells.
Collapse
Affiliation(s)
- Guangzhao Tian
- School of Animal Science and Technology, Guangxi University, Nanning 530004, Guangxi, People's Republic of China
| | - Dan Yang
- School of Animal Science and Technology, Guangxi University, Nanning 530004, Guangxi, People's Republic of China
| | - Chunrong Chen
- School of Animal Science and Technology, Guangxi University, Nanning 530004, Guangxi, People's Republic of China
| | - Xiaoge Duan
- School of Animal Science and Technology, Guangxi University, Nanning 530004, Guangxi, People's Republic of China
| | - Dong-Hwan Kim
- School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
| | - Hailan Chen
- School of Animal Science and Technology, Guangxi University, Nanning 530004, Guangxi, People's Republic of China
| |
Collapse
|
17
|
Zhang Q, Jing W, Wu S, Zhu M, Jiang J, Liu X, Yu D, Cheng L, Feng B, Wen J, Xiong F, Lu Y, Du H. Development of a synchronous recording and photo-stimulating electrode in multiple brain neurons. Front Neurosci 2023; 17:1195095. [PMID: 37383109 PMCID: PMC10293621 DOI: 10.3389/fnins.2023.1195095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/25/2023] [Indexed: 06/30/2023] Open
Abstract
The investigation of brain networks and neural circuits involves the crucial aspects of observing and modulating neurophysiological activity. Recently, opto-electrodes have emerged as an efficient tool for electrophysiological recording and optogenetic stimulation, which has greatly facilitated the analysis of neural coding. However, implantation and electrode weight control have posed significant challenges in achieving long-term and multi-regional brain recording and stimulation. To address this issue, we have developed a mold and custom-printed circuit board-based opto-electrode. We report successful opto-electrode placement and high-quality electrophysiological recordings from the default mode network (DMN) of the mouse brain. This novel opto-electrode facilitates synchronous recording and stimulation in multiple brain regions and holds promise for advancing future research on neural circuits and networks.
Collapse
Affiliation(s)
- Qingping Zhang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Jing
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Shiping Wu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Mengzheng Zhu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Jingrui Jiang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Liu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Dian Yu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Long Cheng
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Feng
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianbin Wen
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Xiong
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, National Center for Magnetic Resonance in Wuhan, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Youming Lu
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, China
| | - Huiyun Du
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Wuhan Center for Brain Science, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic Evaluation, Wuhan, China
| |
Collapse
|
18
|
Abstract
Advances in bioelectronic implants have been offering valuable chances to interface and modulate neural systems. Potential mismatches between bioelectronics and targeted neural tissues require devices to exhibit "tissue-like" properties for better implant-bio integration. In particular, mechanical mismatches pose a significant challenge. In the past years, efforts were made in both materials synthesis and device design to achieve bioelectronics mechanically and biochemically mimicking biological tissues. In this perspective, we mainly summarized recent progress of developing "tissue-like" bioelectronics and categorized them into different strategies. We also discussed how these "tissue-like" bioelectronics were utilized for modulating in vivo nervous systems and neural organoids. We concluded the perspective by proposing further directions including personalized bioelectronics, novel materials design and the involvement of artificial intelligence and robotic techniques.
Collapse
Affiliation(s)
- Changxu Sun
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Zhe Cheng
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Jj Abu-Halimah
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
| | - Bozhi Tian
- Department of Chemistry, University of Chicago, Chicago, IL 60637, USA
- The James Franck Institute, University of Chicago, Chicago, IL 60637, USA
- The Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA
| |
Collapse
|
19
|
Yang S, Xu K, Guan S, Zou L, Gao L, Wang J, Tian H, Li H, Fang Y, Li H. Polymer nanofiber network reinforced gold electrode array for neural activity recording. Biomed Eng Lett 2023; 13:111-118. [PMID: 37124105 PMCID: PMC10130319 DOI: 10.1007/s13534-022-00257-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 11/19/2022] [Accepted: 12/20/2022] [Indexed: 01/04/2023] Open
Abstract
Flexible and stretchable neural electrodes are promising tools for high-fidelity interfacing with soft and curvilinear brain surface. Here, we describe a flexible and stretchable neural electrode array that consists of polyacrylonitrile (PAN) nanofiber network reinforced gold (Au) film electrodes. Under stretching, the interweaving PAN nanofibers effectively terminate the formation of propagating cracks in the Au films and thus enable the formation of a dynamically stable electrode-tissue interface. Moreover, the PAN nanofibers increase the surface roughness and active surface areas of the Au electrodes, leading to reduced electrochemical impedance and improved signal-to-noise ratio. As a result, PAN nanofiber network reinforced Au electrode arrays can allow for reliable in vivo multichannel recording of epileptiform activities in rats. Supplementary Information The online version contains supplementary material available at 10.1007/s13534-022-00257-5.
Collapse
Affiliation(s)
- Siting Yang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Ke Xu
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Shouliang Guan
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Liang Zou
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Lei Gao
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Jinfen Wang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Huihui Tian
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| | - Hui Li
- School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, 450052 China
| | - Ying Fang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031 China
| | - Hongbian Li
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190 China
| |
Collapse
|
20
|
Xue Y, Guo S, Wang A, Li Q, Li J, Bai S. Surface modification and cell behavior of electronic packaging materials PET. Colloids Surf A Physicochem Eng Asp 2023. [DOI: 10.1016/j.colsurfa.2023.131212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
|
21
|
Ashok A, Nguyen TK, Barton M, Leitch M, Masud MK, Park H, Truong TA, Kaneti YV, Ta HT, Li X, Liang K, Do TN, Wang CH, Nguyen NT, Yamauchi Y, Phan HP. Flexible Nanoarchitectonics for Biosensing and Physiological Monitoring Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2204946. [PMID: 36538749 DOI: 10.1002/smll.202204946] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/01/2022] [Indexed: 06/17/2023]
Abstract
Flexible and implantable electronics hold tremendous promises for advanced healthcare applications, especially for physiological neural recording and modulations. Key requirements in neural interfaces include miniature dimensions for spatial physiological mapping and low impedance for recognizing small biopotential signals. Herein, a bottom-up mesoporous formation technique and a top-down microlithography process are integrated to create flexible and low-impedance mesoporous gold (Au) electrodes for biosensing and bioimplant applications. The mesoporous architectures developed on a thin and soft polymeric substrate provide excellent mechanical flexibility and stable electrical characteristics capable of sustaining multiple bending cycles. The large surface areas formed within the mesoporous network allow for high current density transfer in standard electrolytes, highly suitable for biological sensing applications as demonstrated in glucose sensors with an excellent detection limit of 1.95 µm and high sensitivity of 6.1 mA cm-2 µM-1 , which is approximately six times higher than that of benchmarking flat/non-porous films. The low impedance of less than 1 kΩ at 1 kHz in the as-synthesized mesoporous electrodes, along with their mechanical flexibility and durability, offer peripheral nerve recording functionalities that are successfully demonstrated in vivo. These features highlight the new possibilities of our novel flexible nanoarchitectonics for neuronal recording and modulation applications.
Collapse
Affiliation(s)
- Aditya Ashok
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Tuan-Khoa Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Matthew Barton
- School of Nursing and Midwifery, Griffith University, Southport, Queensland, 4215, Australia
- Menzies Health Institute Queensland - Griffith University, Southport, Queensland, 4215, Australia
| | - Michael Leitch
- School of Nursing and Midwifery, Griffith University, Southport, Queensland, 4215, Australia
| | - Mostafa Kamal Masud
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
| | - Hyeongyu Park
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
| | - Thanh-An Truong
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Yusuf Valentino Kaneti
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
| | - Hang Thu Ta
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Xiaopeng Li
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Kang Liang
- Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
- School of Chemical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Thanh Nho Do
- Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
- Tyree Foundation Institute of Health Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Chun-Hui Wang
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Nam-Trung Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Yusuke Yamauchi
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
- School of Chemical Engineering, The University of Queensland, St Lucia, Queensland, 4067, Australia
- JST-ERATO Yamauchi Materials Space-Tectonics Project and International Center for Materials Nanoarchitectonics (WPI-MANA), National Institute for Materials Science, Tsukuba, Ibaraki, 305-0044, Japan
| | - Hoang-Phuong Phan
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, 4067, Australia
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
- Tyree Foundation Institute of Health Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| |
Collapse
|
22
|
Rinoldi C, Ziai Y, Zargarian SS, Nakielski P, Zembrzycki K, Haghighat Bayan MA, Zakrzewska AB, Fiorelli R, Lanzi M, Kostrzewska-Księżyk A, Czajkowski R, Kublik E, Kaczmarek L, Pierini F. In Vivo Chronic Brain Cortex Signal Recording Based on a Soft Conductive Hydrogel Biointerface. ACS APPLIED MATERIALS & INTERFACES 2023; 15:6283-6296. [PMID: 36576451 DOI: 10.1021/acsami.2c17025] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In neuroscience, the acquisition of neural signals from the brain cortex is crucial to analyze brain processes, detect neurological disorders, and offer therapeutic brain-computer interfaces. The design of neural interfaces conformable to the brain tissue is one of today's major challenges since the insufficient biocompatibility of those systems provokes a fibrotic encapsulation response, leading to an inaccurate signal recording and tissue damage precluding long-term/permanent implants. The design and production of a novel soft neural biointerface made of polyacrylamide hydrogels loaded with plasmonic silver nanocubes are reported herein. Hydrogels are surrounded by a silicon-based template as a supporting element for guaranteeing an intimate neural-hydrogel contact while making possible stable recordings from specific sites in the brain cortex. The nanostructured hydrogels show superior electroconductivity while mimicking the mechanical characteristics of the brain tissue. Furthermore, in vitro biological tests performed by culturing neural progenitor cells demonstrate the biocompatibility of hydrogels along with neuronal differentiation. In vivo chronic neuroinflammation tests on a mouse model show no adverse immune response toward the nanostructured hydrogel-based neural interface. Additionally, electrocorticography acquisitions indicate that the proposed platform permits long-term efficient recordings of neural signals, revealing the suitability of the system as a chronic neural biointerface.
Collapse
Affiliation(s)
- Chiara Rinoldi
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Yasamin Ziai
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Seyed Shahrooz Zargarian
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Paweł Nakielski
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Krzysztof Zembrzycki
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Mohammad Ali Haghighat Bayan
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Anna Beata Zakrzewska
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Roberto Fiorelli
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| | - Massimiliano Lanzi
- Department of Industrial Chemistry "Toso Montanari", Alma Mater Studiorum University of Bologna, Bologna40136, Italy
| | | | - Rafał Czajkowski
- Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw02-093, Poland
| | - Ewa Kublik
- Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw02-093, Poland
| | - Leszek Kaczmarek
- Nencki Institute of Experimental Biology Polish Academy of Sciences, Warsaw02-093, Poland
| | - Filippo Pierini
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw02-106, Poland
| |
Collapse
|
23
|
Yin Y, Zeng H, Wang HM, Zhang M. Biocompatible Microelectrode for In Vivo Sensing with Improved Performance. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:1719-1729. [PMID: 36689914 DOI: 10.1021/acs.langmuir.2c03267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In vivo sensing based on implantable microelectrodes has been widely used to monitor neurochemicals due to its high spatial and temporal resolution and engineering interface designability, which has become a powerful drive to decode the mysteries of degenerative diseases and regulate neural activity. Over the past few decades, with the development of a variety of advanced materials and technologies, encouraging progress has been made in quantifying various neurochemical transients. However, because of the complex chemical atmosphere including thousands of small and large biomolecules and the inherent low mechanical property of brain tissue, the design of a compatible microelectrode for the in vivo electrochemical tracking of neurochemicals with high selectivity and stability still faces great challenges. This Perspective presents a brief account of recent representative progress in the rational regulation of the microelectrode interface to resolve the questions of selectivity and sensitive decrease resulting from antiprotein adsorption, and how to decrease the mechanical mismatch of an implanted electrode with that of brain tissue. Possible future research directions on further addressing the above key issues and a more biocompatible microelectrode for in vivo long-time electrochemical analysis are also discussed.
Collapse
Affiliation(s)
- Yongyue Yin
- Department of Chemistry, Renmin University of China, Beijing 100872, P. R. China
| | - Hui Zeng
- Department of Chemistry, Renmin University of China, Beijing 100872, P. R. China
| | - Hui-Ming Wang
- Department of Chemistry, Renmin University of China, Beijing 100872, P. R. China
| | - Meining Zhang
- Department of Chemistry, Renmin University of China, Beijing 100872, P. R. China
| |
Collapse
|
24
|
Niederhoffer T, Vanhoestenberghe A, Lancashire HT. Methods of poly(3,4)-ethylenedioxithiophene (PEDOT) electrodeposition on metal electrodes for neural stimulation and recording. J Neural Eng 2023; 20. [PMID: 36603213 DOI: 10.1088/1741-2552/acb084] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 01/05/2023] [Indexed: 01/06/2023]
Abstract
Conductive polymers are of great interest in the field of neural electrodes because of their potential to improve the interfacial properties of electrodes. In particular, the conductive polymer poly (3,4)-ethylenedioxithiophene (PEDOT) has been widely studied for neural applications.Objective:This review compares methods for electrodeposition of PEDOT on metal neural electrodes, and analyses the effects of deposition methods on morphology and electrochemical performance.Approach:Electrochemical performances were analysed against several deposition method choices, including deposition charge density and co-ion, and correlations were explained to morphological and structural arguments as well as characterisation methods choices.Main results:Coating thickness and charge storage capacity are positively correlated with PEDOT electrodeposition charge density. We also show that PEDOT coated electrode impedance at 1 kHz, the only consistently reported impedance quantity, is strongly dependent upon electrode radius across a wide range of studies, because PEDOT coatings reduces the reactance of the complex impedance, conferring a more resistive behaviour to electrodes (at 1 kHz) dominated by the solution resistance and electrode geometry. This review also summarises how PEDOT co-ion choice affects coating structure and morphology and shows that co-ions notably influence the charge injection limit but have a limited influence on charge storage capacity and impedance. Finally we discuss the possible influence of characterisation methods to assess the robustness of comparisons between published results using different methods of characterisation.Significance:This review aims to serve as a common basis for researchers working with PEDOT by showing the effects of deposition methods on electrochemical performance, and aims to set a standard for accurate and uniform reporting of methods.
Collapse
Affiliation(s)
- Thomas Niederhoffer
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom
| | - Anne Vanhoestenberghe
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Henry T Lancashire
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, United Kingdom
| |
Collapse
|
25
|
Shan Y, Cui X, Chen X, Li Z. Recent progress of electroactive interface in neural engineering. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2023; 15:e01827. [PMID: 35715994 DOI: 10.1002/wnan.1827] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 01/31/2023]
Abstract
Neural tissue is an electrical responsible organ. The electricity plays a vital role in the growth and development of nerve tissue, as well as the repairing after diseases. The interface between the nervous system and external device for information transmission is called neural electroactive interface. With the development of new materials and fabrication technologies, more and more new types of neural interfaces are developed and the interfaces can play crucial roles in treating many debilitating diseases such as paralysis, blindness, deafness, epilepsy, and Parkinson's disease. Neural interfaces are developing toward flexibility, miniaturization, biocompatibility, and multifunctionality. This review presents the development of neural electrodes in terms of different materials for constructing electroactive neural interfaces, especially focus on the piezoelectric materials-based indirect neuromodulation due to their features of wireless control, excellent effect, and good biocompatibility. We discussed the challenges we need to consider before the application of these new interfaces in clinical practice. The perspectives about future directions for developing more practical electroactive interface in neural engineering are also discussed in this review. This article is categorized under: Implantable Materials and Surgical Technologies > Nanomaterials and Implants Implantable Materials and Surgical Technologies > Nanotechnology in Tissue Repair and Replacement.
Collapse
Affiliation(s)
- Yizhu Shan
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.,School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Xi Cui
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.,School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Xun Chen
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China
| | - Zhou Li
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.,School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.,Center of Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, China.,Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
26
|
Wang Y, Liu S, Wang H, Zhao Y, Zhang XD. Neuron devices: emerging prospects in neural interfaces and recognition. MICROSYSTEMS & NANOENGINEERING 2022; 8:128. [PMID: 36507057 PMCID: PMC9726942 DOI: 10.1038/s41378-022-00453-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/28/2022] [Accepted: 08/30/2022] [Indexed: 06/17/2023]
Abstract
Neuron interface devices can be used to explore the relationships between neuron firing and synaptic transmission, as well as to diagnose and treat neurological disorders, such as epilepsy and Alzheimer's disease. It is crucial to exploit neuron devices with high sensitivity, high biocompatibility, multifunctional integration and high-speed data processing. During the past decades, researchers have made significant progress in neural electrodes, artificial sensory neuron devices, and neuromorphic optic neuron devices. The main part of the review is divided into two sections, providing an overview of recently developed neuron interface devices for recording electrophysiological signals, as well as applications in neuromodulation, simulating the human sensory system, and achieving memory and recognition. We mainly discussed the development, characteristics, functional mechanisms, and applications of neuron devices and elucidated several key points for clinical translation. The present review highlights the advances in neuron devices on brain-computer interfaces and neuroscience research.
Collapse
Affiliation(s)
- Yang Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China
| | - Shuangjie Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China
| | - Hao Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China
| | - Yue Zhao
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072 Tianjin, China
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, Institute of Advanced Materials Physics, School of Sciences, Tianjin University, 300350 Tianjin, China
| |
Collapse
|
27
|
Li X, Chen Y, Tu X, Huang H. Development of a Three-Dimensional Nerve Stretch Growth Device towards an Implantable Neural Interface. MICROMACHINES 2022; 13:1558. [PMID: 36295911 PMCID: PMC9610007 DOI: 10.3390/mi13101558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/09/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
Because of rising traumatic accidents and diseases, the number of patients suffering from nerve injury is increasing. Without effective rehabilitation therapy, the patients will get motor or sensory function losses or even a lifelong disability. As for amputees, neural interface technology can be used to splice nerves and electrical wires together in a way that allows them to control an artificial limb as if it was a natural extension of the body. However, the means the need for an autologous nerve to stimulate axonal regeneration and extension into target tissues, which are limited by the supply of donor nerves. Based on the principle of mechanical force regulating axon growth, in this paper, we developed a three-dimensional nerve stretch growth device for an implantable neural interface. The device consists of three motors controlled by single chip microcomputer and some mechanical parts. The stability and reliability of the device were tested. Then, we used neurons derived from human pluripotent stem cells by small chemical molecules to explore the optimal three-dimensional stretch culture parameters. Furthermore, we found that the axons were intact through 10 rotations per day and 1 mm of horizontal pulling per day. The results of this research will provide convenience for patients treated through an implantable neural interface.
Collapse
Affiliation(s)
- Xiao Li
- School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
| | - Yongguang Chen
- School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
| | - Xikai Tu
- School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
| | - Hailong Huang
- Department of Rehabilitation Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430077, China
| |
Collapse
|
28
|
Wang M, Zhang Y, Bin J, Niu L, Zhang J, Liu L, Wang A, Tao J, Liang J, Zhang L, Kang X. Cold Laser Micro-Machining of PDMS as an Encapsulation Layer for Soft Implantable Neural Interface. MICROMACHINES 2022; 13:1484. [PMID: 36144107 PMCID: PMC9504264 DOI: 10.3390/mi13091484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/01/2022] [Accepted: 08/11/2022] [Indexed: 06/16/2023]
Abstract
PDMS (polydimethylsiloxane) is an important soft biocompatible material, which has various applications such as an implantable neural interface, a microfluidic chip, a wearable brain-computer interface, etc. However, the selective removal of the PDMS encapsulation layer is still a big challenge due to its chemical inertness and soft mechanical properties. Here, we use an excimer laser as a cold micro-machining tool for the precise removal of the PDMS encapsulation layer which can expose the electrode sites in an implantable neural interface. This study investigated and optimized the effect of excimer laser cutting parameters on the electrochemical impedance of a neural electrode by using orthogonal experiment design. Electrochemical impedance at the representative frequencies is discussed, which helps to construct the equivalent circuit model. Furthermore, the parameters of the equivalent circuit model are fitted, which reveals details about the electrochemical property of neural electrode using PDMS as an encapsulation layer. Our experimental findings suggest the promising application of excimer lasers in the micro-machining of implantable neural interface.
Collapse
Affiliation(s)
- Minjie Wang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Yuan Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | | | - Lan Niu
- Ji Hua Laboratory, Foshan 528200, China
| | - Jing Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Lusheng Liu
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Aiping Wang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
| | - Jin Tao
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
| | - Jingqiu Liang
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
| | - Lihua Zhang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
- Ji Hua Laboratory, Foshan 528200, China
| | - Xiaoyang Kang
- Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China
- Ji Hua Laboratory, Foshan 528200, China
- Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu 322000, China
- Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou 311100, China
| |
Collapse
|
29
|
Lin R, Jin Y, Li RR, Jiang C, Ping J, Charles CJ, Kong YL, Ho JS. Needle-integrated ultrathin bioimpedance microsensor array for early detection of extravasation. Biosens Bioelectron 2022; 216:114651. [DOI: 10.1016/j.bios.2022.114651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/04/2022] [Accepted: 08/18/2022] [Indexed: 11/24/2022]
|
30
|
Liu S, Liu L, Zhao Y, Wang Y, Wu Y, Zhang XD, Ming D. A High-Performance Electrode Based on van der Waals Heterostructure for Neural Recording. NANO LETTERS 2022; 22:4400-4409. [PMID: 35587781 DOI: 10.1021/acs.nanolett.2c00848] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Neural electrodes have been widely used to monitor neurological disorders and have a major impact on neuroscience, whereas traditional electrodes are limited to their inherent high impedance, which makes them insensitive to weak signals during recording neural signals. Herein, we developed a neural electrode based on the graphene/Ag van der Waals heterostructure for improving the detection sensitivity and signal-to-noise ratio (SNR). The impedance of the graphene/Ag electrode is reduced to 161.4 ± 13.4 MΩ μm2, while the cathode charge-storage capacity (CSCc) reaches 24.2 ± 1.9 mC cm-2, which is 6.3 and 48.4 times higher than those of the commercial Ag electrodes, respectively. Density functional theory (DFT) results find that the Ag-graphene interface has more doped electronic states, providing faster electron transfer and enhanced interfacial transport. In vivo detection sensitivity and SNR of graphene/Ag electrodes are significantly improved. The current work provides a feasible solution for designing brain electrodes to monitor neural signals more sensitively and accurately.
Collapse
Affiliation(s)
- Shuangjie Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Ling Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yue Zhao
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yang Wang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yingpeng Wu
- State Key Laboratory of Chem/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, Institute of Advanced Materials Physics, School of Sciences, Tianjin University, Tianjin 300350, China
| | - Dong Ming
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| |
Collapse
|
31
|
Lee S, Park J, Kim S, Ok J, Yoo JI, Kim YS, Ahn Y, Kim TI, Ko HC, Lee JY. High-Performance Implantable Bioelectrodes with Immunocompatible Topography for Modulation of Macrophage Responses. ACS NANO 2022; 16:7471-7485. [PMID: 35438981 DOI: 10.1021/acsnano.1c10506] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Implantable bioelectrodes enable precise recording or stimulation of electrical signals with living tissues in close contact. However, their performance is frequently compromised owing to inflammatory tissue reactions, which macrophages either induce or resolve by polarizing to an inflammatory (M1) or noninflammatory (M2) phenotype, respectively. Thus, we aimed to fabricate biocompatible and functional implantable conductive polymer bioelectrodes with optimal topography for the modulation of macrophage responses. To this end, we produced heparin-doped polypyrrole (PPy/Hep) electrodes of different surface roughness, with Ra values from 5.5 to 17.6 nm, by varying the charge densities during electrochemical synthesis. In vitro culture revealed that macrophages on rough PPy/Hep electrodes preferentially polarized to noninflammatory phenotypes. In particular, PPy/Hep-900 (Ra = 14 nm) was optimal with respect to electrochemical properties and the suppression of inflammatory M1 polarization. In vivo implantation indicated that PPy/Hep-900 significantly reduced macrophage recruitment, suppressed inflammatory polarization, and mitigated fibrotic tissue formation. In addition, the implanted PPy/Hep-900 electrodes could successfully record electrocardiographic signals for up to 10 days without substantial decreases in sensitivity, while other electrodes substantially lost their signal sensitivity during implantation. Altogether, we demonstrate that modulating the surface features of PPy/Hep can benefit the design and applications of high-performance and high-biocompatibility bioelectrodes.
Collapse
Affiliation(s)
- Sanghun Lee
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| | - Junggeon Park
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| | - Semin Kim
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| | - Jehyung Ok
- School of Chemical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Jung Il Yoo
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| | - Yong Sook Kim
- Biomedical Research Institute, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
- Cell Regeneration Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
| | - Youngkeun Ahn
- Biomedical Research Institute, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
- Cell Regeneration Research Center, Chonnam National University Hospital, Gwangju, 61469, Republic of Korea
| | - Tae-Il Kim
- School of Chemical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Heung Cho Ko
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| | - Jae Young Lee
- School of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea
| |
Collapse
|
32
|
Liang C, Liu Y, Lu W, Tian G, Zhao Q, Yang D, Sun J, Qi D. Strategies for interface issues and challenges of neural electrodes. NANOSCALE 2022; 14:3346-3366. [PMID: 35179152 DOI: 10.1039/d1nr07226a] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Neural electrodes, as a bridge for bidirectional communication between the body and external devices, are crucial means for detecting and controlling nerve activity. The electrodes play a vital role in monitoring the state of neural systems or influencing it to treat disease or restore functions. To achieve high-resolution, safe and long-term stable nerve recording and stimulation, a neural electrode with excellent electrochemical performance (e.g., impedance, charge storage capacity, charge injection limit), and good biocompatibility and stability is required. Here, the charge transfer process in the tissues, the electrode-tissue interfaces and the electrode materials are discussed respectively. Subsequently, the latest research methods and strategies for improving the electrochemical performance and biocompatibility of neural electrodes are reviewed. Finally, the challenges in the development of neural electrodes are proposed. It is expected that the development of neural electrodes will offer new opportunities for the evolution of neural prosthesis, bioelectronic medicine, brain science, and so on.
Collapse
Affiliation(s)
- Cuiyuan Liang
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Yan Liu
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Weihong Lu
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Gongwei Tian
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Qinyi Zhao
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Dan Yang
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Jing Sun
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| | - Dianpeng Qi
- National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
| |
Collapse
|
33
|
Vėbraitė I, Hanein Y. In the Eye of the Storm: Bi-Directional Electrophysiological Investigation of the Intact Retina. Front Neurosci 2022; 16:829323. [PMID: 35281487 PMCID: PMC8914158 DOI: 10.3389/fnins.2022.829323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Abstract
Electrophysiological investigations reveal a great deal about the organization and function of the retina. In particular, investigations of explanted retinas with multi electrode arrays are widely used for basic and applied research purposes, offering high-resolution and detailed information about connectivity and structure. Low-resolution, non-invasive approaches are also widely used. Owing to its delicate nature, high-resolution electrophysiological investigations of the intact retina until now are sparse. In this Mini Review, we discuss progress, challenges and opportunities for electrode arrays suitable for high-resolution, multisite electrophysiological interfacing with the intact retina. In particular, existing gaps in achieving bi-directional electrophysiological investigation of the intact retina are discussed.
Collapse
Affiliation(s)
- Ieva Vėbraitė
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Yael Hanein
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
- Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv, Israel
- *Correspondence: Yael Hanein,
| |
Collapse
|
34
|
Sun C, Cao Y, Huang J, Huang K, Lu Y, Zhong C. Low-cost and easy-fabrication lightweight drivable electrode array for multiple-regions electrophysiological recording in free-moving mice. J Neural Eng 2022; 19. [PMID: 34996053 DOI: 10.1088/1741-2552/ac494e] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 01/07/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Extracellular electrophysiology has been widely applied to neural circuit dissections. However, long-term multiregional recording in free-moving mice remains a challenge. Low-cost and easy-fabrication of elaborate drivable electrodes is required for their prevalence. APPROACH A three-layer nested construct (OD ~1.80 mm, length ~10 mm, <0.1g) was recruited as a drivable component, which consisted of an ethylene-vinyl acetate copolymer (EVA) heat-shrinkable tube, non-closed loop ceramic bushing, and stainless ferrule with a bulge twining silver wire. The supporting and working components were equipped with drivable components to be assembled into a drivable microwire electrode array with a nested structure (drivable MEANS). Two drivable microwire electrode arrays were independently implanted for chronic recording in different brain areas at respective angles. An optic fiber was easily loaded into the drivable MEANS to achieve optogenetic modulation and electrophysiological recording simultaneously. MAIN RESULTS The drivable MEANS had lightweight (~ 0.37 g), small (~ 15 mm ×15 mm × 4 mm), and low cost (≤ $64.62). Two drivable MEANS were simultaneously implanted in mice, and high-quality electrophysiological recordings could be applied ≥ 5 months after implantation in freely behaving animals. Electrophysiological recordings and analysis of the lateral septum (LS) and lateral hypothalamus (LH) in food-seeking behavior demonstrated that our drivable MEANS can be used to dissect the function of neural circuits. An optical fiber-integrated drivable MEANS (~ 0.47 g) was used to stimulate and record LS neurons, which suggested that changes in working components can achieve more functions than electrophysiological recordings, such as optical stimulation, drug release, and calcium imaging. SIGNIFICANCE Drivable MEANS is an easily fabricated, lightweight drivable microwire electrode array for multiple-region electrophysiological recording in free-moving mice. Our design is likely to be a valuable platform for both current and prospective users, as well as for developers of multifunctional electrodes for free-moving mice.
Collapse
Affiliation(s)
- Chongyang Sun
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen, Guangdong, 518055, CHINA
| | - Yi Cao
- University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, CHINA
| | - Jianyu Huang
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen, Guangdong, 518055, CHINA
| | - Kang Huang
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen, Guangdong, 518055, CHINA
| | - Yi Lu
- Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Shenzhen, Guangdong, 518055, CHINA
| | - Cheng Zhong
- Chinese Academy of Sciences, 1068 Xueyuan Boulevard, University Town of Shenzhen, Xili Nanshan, Beijing, 100864, CHINA
| |
Collapse
|
35
|
Mezzasalma SA, Grassi L, Grassi M. Physical and chemical properties of carbon nanotubes in view of mechanistic neuroscience investigations. Some outlook from condensed matter, materials science and physical chemistry. MATERIALS SCIENCE & ENGINEERING. C, MATERIALS FOR BIOLOGICAL APPLICATIONS 2021; 131:112480. [PMID: 34857266 DOI: 10.1016/j.msec.2021.112480] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/08/2021] [Accepted: 10/07/2021] [Indexed: 01/17/2023]
Abstract
The open border between non-living and living matter, suggested by increasingly emerging fields of nanoscience interfaced to biological systems, requires a detailed knowledge of nanomaterials properties. An account of the wide spectrum of phenomena, belonging to physical chemistry of interfaces, materials science, solid state physics at the nanoscale and bioelectrochemistry, thus is acquainted for a comprehensive application of carbon nanotubes interphased with neuron cells. This review points out a number of conceptual tools to further address the ongoing advances in coupling neuronal networks with (carbon) nanotube meshworks, and to deepen the basic issues that govern a biological cell or tissue interacting with a nanomaterial. Emphasis is given here to the properties and roles of carbon nanotube systems at relevant spatiotemporal scales of individual molecules, junctions and molecular layers, as well as to the point of view of a condensed matter or materials scientist. Carbon nanotube interactions with blood-brain barrier, drug delivery, biocompatibility and functionalization issues are also regarded.
Collapse
Affiliation(s)
- Stefano A Mezzasalma
- Ruder Bošković Institute, Materials Physics Division, Bijeniška cesta 54, 10000 Zagreb, Croatia; Lund Institute for advanced Neutron and X-ray Science (LINXS), Lund University, IDEON Building, Delta 5, Scheelevägen 19, 223 70 Lund, Sweden.
| | - Lucia Grassi
- Department of Engineering and Architecture, Trieste University, via Valerio 6, I-34127 Trieste, Italy
| | - Mario Grassi
- Department of Engineering and Architecture, Trieste University, via Valerio 6, I-34127 Trieste, Italy.
| |
Collapse
|
36
|
Xu B, Pei J, Feng L, Zhang XD. Graphene and graphene-related materials as brain electrodes. J Mater Chem B 2021; 9:9485-9496. [PMID: 34797365 DOI: 10.1039/d1tb01795k] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Neural electrodes are used for acquiring neuron signals in brain-machine interfaces, and they are crucial for next-generation neuron engineering and related medical applications. Thus, developing flexible, stable and high-resolution neural electrodes will play an important role in stimulation, acquisition, recording and analysis of signals. Compared with traditional metallic electrodes, electrodes based on graphene and other two-dimensional materials have attracted wide attention in electrophysiological recording and stimulation due to their excellent physical properties such as unique flexibility, low resistance, and high optical transparency. In this review, we have reviewed the recent progress of electrodes based on graphene, graphene/polymer compounds and graphene-related materials for neuron signal recording, stimulation, and related optical signal coupling technology, which provides an outlook on the role of electrodes in the nanotechnology-neuron interface as well as medical diagnosis.
Collapse
Affiliation(s)
- Boyu Xu
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
| | - Jiahui Pei
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
| | - Liefeng Feng
- Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin 300350, China.
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neuroengineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China. .,Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology, School of Sciences, Tianjin University, Tianjin 300350, China.
| |
Collapse
|
37
|
Zhang H, Liu Y, Zhou K, Wei W, Liu Y. Restoring Sensorimotor Function Through Neuromodulation After Spinal Cord Injury: Progress and Remaining Challenges. Front Neurosci 2021; 15:749465. [PMID: 34720867 PMCID: PMC8551759 DOI: 10.3389/fnins.2021.749465] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/13/2021] [Indexed: 12/27/2022] Open
Abstract
Spinal cord injury (SCI) is a major disability that results in motor and sensory impairment and extensive complications for the affected individuals which not only affect the quality of life of the patients but also result in a heavy burden for their families and the health care system. Although there are few clinically effective treatments for SCI, research over the past few decades has resulted in several novel treatment strategies which are related to neuromodulation. Neuromodulation-the use of neuromodulators, electrical stimulation or optogenetics to modulate neuronal activity-can substantially promote the recovery of sensorimotor function after SCI. Recent studies have shown that neuromodulation, in combination with other technologies, can allow paralyzed patients to carry out intentional, controlled movement, and promote sensory recovery. Although such treatments hold promise for completely overcoming SCI, the mechanisms by which neuromodulation has this effect have been difficult to determine. Here we review recent progress relative to electrical neuromodulation and optogenetics neuromodulation. We also examine potential mechanisms by which these methods may restore sensorimotor function. We then highlight the strengths of these approaches and remaining challenges with respect to its application.
Collapse
Affiliation(s)
- Hui Zhang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Yaping Liu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Kai Zhou
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Wei Wei
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| | - Yaobo Liu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience, Soochow University, Suzhou, China
| |
Collapse
|
38
|
Portillo-Lara R, Goding JA, Green RA. Adaptive biomimicry: design of neural interfaces with enhanced biointegration. Curr Opin Biotechnol 2021; 72:62-68. [PMID: 34715548 DOI: 10.1016/j.copbio.2021.10.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 10/01/2021] [Accepted: 10/06/2021] [Indexed: 12/27/2022]
Abstract
Neural interfaces (NIs) have traditionally used inorganic device constructs paired with electrical stimulation to bypass injured or diseased electroactive tissues. These bioinert devices have significant impact on the neural tissue, being synthetic and causing large volumetric changes to the biological environment. The concept of biomimicry has become popular for tissue engineering technologies, reflecting biological properties as a component of material design. Tissue engineering strategies can be harnessed in bioelectronic device design to improve biological tolerance, but the need for improved integration with the native tissue remains an unmet need. Adaptive biomimetic designs that respond to the changing neural tissue environment associated with wound healing can actively address the immune response to improve biointegration. These adaptive approaches include responsive materials paired with stem cells and bioactive molecules as integrated components of NIs. Combining adaptive biomimetics with NIs provides a new, more natural approach for communicating with the nervous system.
Collapse
Affiliation(s)
- Roberto Portillo-Lara
- Department of Bioengineering, Imperial College London, SW7 2BP, London, United Kingdom
| | - Josef A Goding
- Department of Bioengineering, Imperial College London, SW7 2BP, London, United Kingdom
| | - Rylie A Green
- Department of Bioengineering, Imperial College London, SW7 2BP, London, United Kingdom.
| |
Collapse
|
39
|
Zeng Q, Wu T. Enhanced electrochemical performance of neural electrodes based on
PEDOT
:
PSS
hydrogel. J Appl Polym Sci 2021. [DOI: 10.1002/app.51804] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Qi Zeng
- College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen Guangdong China
| | - Tianzhun Wu
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen Guangdong China
| |
Collapse
|
40
|
Abend A, Steele C, Jahnke HG, Zink M. Adhesion of Neurons and Glial Cells with Nanocolumnar TiN Films for Brain-Machine Interfaces. Int J Mol Sci 2021; 22:8588. [PMID: 34445294 PMCID: PMC8395253 DOI: 10.3390/ijms22168588] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/29/2021] [Accepted: 08/07/2021] [Indexed: 12/12/2022] Open
Abstract
Coupling of cells to biomaterials is a prerequisite for most biomedical applications; e.g., neuroelectrodes can only stimulate brain tissue in vivo if the electric signal is transferred to neurons attached to the electrodes' surface. Besides, cell survival in vitro also depends on the interaction of cells with the underlying substrate materials; in vitro assays such as multielectrode arrays determine cellular behavior by electrical coupling to the adherent cells. In our study, we investigated the interaction of neurons and glial cells with different electrode materials such as TiN and nanocolumnar TiN surfaces in contrast to gold and ITO substrates. Employing single-cell force spectroscopy, we quantified short-term interaction forces between neuron-like cells (SH-SY5Y cells) and glial cells (U-87 MG cells) for the different materials and contact times. Additionally, results were compared to the spreading dynamics of cells for different culture times as a function of the underlying substrate. The adhesion behavior of glial cells was almost independent of the biomaterial and the maximum growth areas were already seen after one day; however, adhesion dynamics of neurons relied on culture material and time. Neurons spread much better on TiN and nanocolumnar TiN and also formed more neurites after three days in culture. Our designed nanocolumnar TiN offers the possibility for building miniaturized microelectrode arrays for impedance spectroscopy without losing detection sensitivity due to a lowered self-impedance of the electrode. Hence, our results show that this biomaterial promotes adhesion and spreading of neurons and glial cells, which are important for many biomedical applications in vitro and in vivo.
Collapse
Affiliation(s)
- Alice Abend
- Research Group Biotechnology and Biomedicine, Faculty of Physics and Earth Sciences, Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstraße 5, 04103 Leipzig, Germany;
| | - Chelsie Steele
- Research Group Biotechnology and Biomedicine, Faculty of Physics and Earth Sciences, Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstraße 5, 04103 Leipzig, Germany;
| | - Heinz-Georg Jahnke
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, 04103 Leipzig, Germany;
| | - Mareike Zink
- Research Group Biotechnology and Biomedicine, Faculty of Physics and Earth Sciences, Peter Debye Institute for Soft Matter Physics, Leipzig University, Linnéstraße 5, 04103 Leipzig, Germany;
| |
Collapse
|
41
|
Zhai X, Ruan C, Shen J, Zheng C, Zhao X, Pan H, Lu WW. Clay-based nanocomposite hydrogel with attractive mechanical properties and sustained bioactive ion release for bone defect repair. J Mater Chem B 2021; 9:2394-2406. [PMID: 33625433 DOI: 10.1039/d1tb00184a] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Although clay-based nanocomposite hydrogels have been widely explored, their instability in hot water and saline solution inhibits their applications in biomedical engineering, and the exploration of clay-based nanocomposite hydrogels in bone defect repair is even less. In this work, we developed a stable clay-based nanocomposite hydrogel using 4-acryloylmorpholine as the monomer. After UV light illumination, the obtained poly(4-acryloylmorpholine) clay-based nanocomposite hydrogel (poly(4-acry)-clay nanocomposite hydrogel) exhibits excellent mechanical properties due to the hydrogen bond interactions between the poly(4-acryloylmorpholine) chains and the physical crosslinking effect of the nanoclay. Besides good biocompatibility, the sustainable release of intrinsic Mg2+ and Si4+ from the poly(4-acry)-clay nanocomposite hydrogel endows the system with excellent ability to promote the osteogenic differentiation of primary rat osteoblasts (ROBs) and can promote new bone formation effectively after implantation. We anticipate that these kinds of clay-based nanocomposite hydrogels with sustained release of bioactive ions will open a new avenue for the development of novel biomaterials for bone regeneration.
Collapse
Affiliation(s)
- Xinyun Zhai
- Tianjin Key Laboratory for Rare Earth Materials and Applications, Center for Rare Earth and Inorganic Functional Materials, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University, Tianjin 300350, China
| | - Changshun Ruan
- Research Center for Human Tissue and Organs Degeneration, Institute Biomedical and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - Jie Shen
- Shenzhen Engineering Laboratory of Orthopaedic Regenerative Technologies, Orthopaedic Research Center, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Chuping Zheng
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease Pharmacological Group, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Xiaoli Zhao
- Research Center for Human Tissue and Organs Degeneration, Institute Biomedical and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - Haobo Pan
- Research Center for Human Tissue and Organs Degeneration, Institute Biomedical and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - William Weijia Lu
- Research Center for Human Tissue and Organs Degeneration, Institute Biomedical and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. and Department of Orthopaedic and Traumatology, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China.
| |
Collapse
|
42
|
Li P, Yin C, Li M, Li H, Yang B. A dry electroencephalogram electrode for applications in steady-state visual evoked potential-based brain-computer interface systems. Biosens Bioelectron 2021; 187:113326. [PMID: 34004544 DOI: 10.1016/j.bios.2021.113326] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 02/02/2023]
Abstract
High-efficiency electroencephalogram (EEG) dry electrodes are a key component of brain-computer interface (BCI) technology because of their direct contact with the scalp. In this study, a semi-flexible polydopamine (PDA)/Pt-TiO2 electrode is prepared for the dry-contact acquisition of EEG signals. The PDA biofilm adheres strongly to the scalp and maintains a dynamic balance of water and ions. The Pt nanoparticles and TiO2 nanotube array together result in fast electron transfer. Therefore, the interface impedance between the dry PDA/Pt-TiO2 electrode and scalp is as low as 19.63-24.53 kΩ. The spontaneous EEG signal collected simultaneously using the dry PDA/Pt-TiO2 and wet Ag/AgCl electrodes had a correlation coefficient of up to 99.9%. In a steady-state visual evoked potential (SSVEP)-based BCI system, the dry electrode was used to collect EEG feedback signals for stimulations at 27 different frequencies in the range of 7-19.25 Hz. For these feedback signals, O1, Oz, and O2 channels in the occipital area exhibited high signal-to-noise ratios of 11.3, 11.8, and 11 dB, respectively. A volunteer wore an EEG headband with three PDA/Pt-TiO2 dry electrodes and successfully controlled the robotic arm of the SSVEP-BCI system in the untrained mode. The dry PDA/Pt-TiO2 electrode-based EEG cap is comfortable to wear, the identification signals of the SSVEP paradigm are accurate, and it is suitable for controlling external devices including a keyboard in the SSVEP-BCI system.
Collapse
Affiliation(s)
- Phenghai Li
- Tianjin Key Laboratory of Film Electronic and Communication Devices, Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education), School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, PR China
| | - Can Yin
- Tianjin Key Laboratory of Film Electronic and Communication Devices, Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education), School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, PR China
| | - Mingji Li
- Tianjin Key Laboratory of Film Electronic and Communication Devices, Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education), School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, PR China.
| | - Hongji Li
- Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, Tianjin Key Laboratory of Drug Targeting and Bioimaging, School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin, 300384, PR China.
| | - Baohe Yang
- Tianjin Key Laboratory of Film Electronic and Communication Devices, Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education), School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, PR China
| |
Collapse
|