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Yi J, Zou G, Huang J, Ren X, Tian Q, Yu Q, Wang P, Yuan Y, Tang W, Wang C, Liang L, Cao Z, Li Y, Yu M, Jiang Y, Zhang F, Yang X, Li W, Wang X, Luo Y, Loh XJ, Li G, Hu B, Liu Z, Gao H, Chen X. Water-responsive supercontractile polymer films for bioelectronic interfaces. Nature 2023; 624:295-302. [PMID: 38092907 DOI: 10.1038/s41586-023-06732-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 10/10/2023] [Indexed: 12/18/2023]
Abstract
Connecting different electronic devices is usually straightforward because they have paired, standardized interfaces, in which the shapes and sizes match each other perfectly. Tissue-electronics interfaces, however, cannot be standardized, because tissues are soft1-3 and have arbitrary shapes and sizes4-6. Shape-adaptive wrapping and covering around irregularly sized and shaped objects have been achieved using heat-shrink films because they can contract largely and rapidly when heated7. However, these materials are unsuitable for biological applications because they are usually much harder than tissues and contract at temperatures higher than 90 °C (refs. 8,9). Therefore, it is challenging to prepare stimuli-responsive films with large and rapid contractions for which the stimuli and mechanical properties are compatible with vulnerable tissues and electronic integration processes. Here, inspired by spider silk10-12, we designed water-responsive supercontractile polymer films composed of poly(ethylene oxide) and poly(ethylene glycol)-α-cyclodextrin inclusion complex, which are initially dry, flexible and stable under ambient conditions, contract by more than 50% of their original length within seconds (about 30% per second) after wetting and become soft (about 100 kPa) and stretchable (around 600%) hydrogel thin films thereafter. This supercontraction is attributed to the aligned microporous hierarchical structures of the films, which also facilitate electronic integration. We used this film to fabricate shape-adaptive electrode arrays that simplify the implantation procedure through supercontraction and conformally wrap around nerves, muscles and hearts of different sizes when wetted for in vivo nerve stimulation and electrophysiological signal recording. This study demonstrates that this water-responsive material can play an important part in shaping the next-generation tissue-electronics interfaces as well as broadening the biomedical application of shape-adaptive materials.
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Affiliation(s)
- Junqi Yi
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, Singapore, Singapore
| | - Guijin Zou
- Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jianping Huang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Xueyang Ren
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Bioelectronics and Jiangsu Key Laboratory of Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Qiong Tian
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Qianhengyuan Yu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Ping Wang
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Yuehui Yuan
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Wenjie Tang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Changxian Wang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Linlin Liang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Zhengshuai Cao
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Yuanheng Li
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Mei Yu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Ying Jiang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Feilong Zhang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Xue Yang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Wenlong Li
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xiaoshi Wang
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore
| | - Yifei Luo
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Guanglin Li
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China
| | - Benhui Hu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
- Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
| | - Zhiyuan Liu
- CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences (CAS) and the Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen, China.
| | - Huajian Gao
- Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore, Singapore.
| | - 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, Singapore.
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, Singapore, Singapore.
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Chou N, Shin H, Kim K, Chae U, Jang M, Jeong U, Hwang K, Yi B, Lee SE, Woo J, Cho Y, Lee C, Baker BJ, Oh S, Nam M, Choi N, Cho I. A Multimodal Multi-Shank Fluorescence Neural Probe for Cell-Type-Specific Electrophysiology in Multiple Regions across a Neural Circuit. Adv Sci (Weinh) 2022; 9:e2103564. [PMID: 34796701 PMCID: PMC8805556 DOI: 10.1002/advs.202103564] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/25/2021] [Indexed: 05/27/2023]
Abstract
Cell-type-specific, activity-dependent electrophysiology can allow in-depth analysis of functional connectivity inside complex neural circuits composed of various cell types. To date, optics-based fluorescence recording devices enable monitoring cell-type-specific activities. However, the monitoring is typically limited to a single brain region, and the temporal resolution is significantly low. Herein, a multimodal multi-shank fluorescence neural probe that allows cell-type-specific electrophysiology from multiple deep-brain regions at a high spatiotemporal resolution is presented. A photodiode and an electrode-array pair are monolithically integrated on each tip of a minimal-form-factor silicon device. Both fluorescence and electrical signals are successfully measured simultaneously in GCaMP6f expressing mice, and the cell type from sorted neural spikes is identified. The probe's capability of combined electro-optical recordings for cell-type-specific electrophysiology at multiple brain regions within a neural circuit is demonstrated. The new experimental paradigm to enable the precise investigation of functional connectivity inside and across complex neural circuits composed of various cell types is expected.
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Affiliation(s)
- Namsun Chou
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Hyogeun Shin
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Kanghwan Kim
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Uikyu Chae
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
- School of Electrical EngineeringKorea University145 Anam‐ro, Seongbuk‐guSeoul02841Republic of Korea
| | - Minsu Jang
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Ui‐Jin Jeong
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
- School of Electrical EngineeringKorea University145 Anam‐ro, Seongbuk‐guSeoul02841Republic of Korea
| | - Kyeong‐Seob Hwang
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
- School of Mechanical EngineeringYonsei University50 Yonsei‐ro, Seodaemun‐guSeoul03722Republic of Korea
| | - Bumjun Yi
- Center for Functional ConnectomicsBrain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Seung Eun Lee
- Virus Facility, Research Animal Resource CenterBrain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Jiwan Woo
- Center for Neuroscience, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Yakdol Cho
- Center for Neuroscience, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Changhyuk Lee
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Bradley J. Baker
- Center for Functional ConnectomicsBrain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Soo‐Jin Oh
- Center for Neuroscience, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Min‐Ho Nam
- Center for Neuroscience, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Nakwon Choi
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
- KU‐KIST Graduate School of Converging Science and TechnologyKorea University145 Anam‐ro, Seongbuk‐guSeoul02841Republic of Korea
- Division of Bio‐Medical Science and Technology, KIST SchoolKorea University of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
| | - Il‐Joo Cho
- Center for BioMicrosystems, Brain Science InstituteKorea Institute of Science and Technology5, Hwarang‐ro 14‐gil, Seongbuk‐guSeoul02792Republic of Korea
- School of Electrical and Electronics EngineeringYonsei University50 Yonsei‐ro, Seodaemun‐guSeoul03722Republic of Korea
- Yonsei‐KIST Convergence Research InstituteYonsei University50 Yonsei‐ro, Seodaemun‐guSeoul03722Republic of Korea
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3
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Jun H, Chavez J, Bramian A, Igarashi KM. Protocol for remapping of place cells in disease mouse models. STAR Protoc 2021; 2:100759. [PMID: 34467228 PMCID: PMC8384906 DOI: 10.1016/j.xpro.2021.100759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Hippocampal place cells and entorhinal grid cells exhibit distinct spike patterns in different environments called "remapping," and we have recently shown that remapping of place cells becomes disrupted in a mouse model of Alzheimer's disease. Here, we describe our protocol for investigating remapping of place cells and grid cells using a custom-made electrophysiology device, with detailed descriptions and problem-solving tips for the construction and implantation of the recording device. We also provide steps for behavioral training, recording, and data analysis. For complete details on the use and execution of this protocol, please refer to Jun et al. (2020).
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Affiliation(s)
- Heechul Jun
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA 92697, USA
| | - Jasmine Chavez
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA 92697, USA
| | - Allen Bramian
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA 92697, USA
| | - Kei M. Igarashi
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA 92697, USA
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4
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Lee KH, Ni YL, Colonell J, Karsh B, Putzeys J, Pachitariu M, Harris TD, Meister M. Electrode pooling can boost the yield of extracellular recordings with switchable silicon probes. Nat Commun 2021; 12:5245. [PMID: 34475396 PMCID: PMC8413349 DOI: 10.1038/s41467-021-25443-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 07/28/2021] [Indexed: 11/09/2022] Open
Abstract
State-of-the-art silicon probes for electrical recording from neurons have thousands of recording sites. However, due to volume limitations there are typically many fewer wires carrying signals off the probe, which restricts the number of channels that can be recorded simultaneously. To overcome this fundamental constraint, we propose a method called electrode pooling that uses a single wire to serve many recording sites through a set of controllable switches. Here we present the framework behind this method and an experimental strategy to support it. We then demonstrate its feasibility by implementing electrode pooling on the Neuropixels 1.0 electrode array and characterizing its effect on signal and noise. Finally we use simulations to explore the conditions under which electrode pooling saves wires without compromising the content of the recordings. We make recommendations on the design of future devices to take advantage of this strategy.
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Affiliation(s)
- Kyu Hyun Lee
- Division of Biology and Biological Engineering, Caltech, Pasadena, CA, USA
| | - Yu-Li Ni
- Division of Biology and Biological Engineering, Caltech, Pasadena, CA, USA
| | | | - Bill Karsh
- HHMI Janelia Research Campus, Ashburn, VA, USA
| | | | | | | | - Markus Meister
- Division of Biology and Biological Engineering, Caltech, Pasadena, CA, USA.
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5
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Cui Y, Zhang F, Chen G, Yao L, Zhang N, Liu Z, Li Q, Zhang F, Cui Z, Zhang K, Li P, Cheng Y, Zhang S, Chen X. A Stretchable and Transparent Electrode Based on PEGylated Silk Fibroin for In Vivo Dual-Modal Neural-Vascular Activity Probing. Adv Mater 2021; 33:e2100221. [PMID: 34278616 DOI: 10.1002/adma.202100221] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/12/2021] [Indexed: 06/13/2023]
Abstract
Transparent electrodes that form seamless contact and enable optical interrogation at the electrode-brain interface are potentially of high significance for neuroscience studies. Silk hydrogels can offer an ideal platform for transparent neural interfaces owing to their superior biocompatibility. However, conventional silk hydrogels are too weak and have difficulties integrating with highly conductive and stretchable electronics. Here, a transparent and stretchable hydrogel electrode based on poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) and PEGylated silk protein is reported. PEGylated silk protein with poly(ethylene glycol) diglycidyl ether (PEGDE) improves the Young's modulus to 1.51-10.73 MPa and the stretchability to ≈400% from conventional silk hydrogels (<10 kPa). The PEGylated silk also helps form a robust interface with PEDOT:PSS thin film, making the hydrogel electrode synergistically incorporate superior stretchability (≈260%), stable electrical performance (≈4 months), and a low sheet resistance (≈160 ± 56 Ω sq-1 ). Finally, the electrode facilitates efficient electrical recording, and stimulation with unobstructed optical interrogation and rat-brain imaging are demonstrated. The highly transparent and stretchable hydrogel electrode offers a practical tool for neuroscience and paves the way for a harmonized tissue-electrode interface.
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Affiliation(s)
- Yajing Cui
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Fan Zhang
- Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China
| | - Geng Chen
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Lin Yao
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China
| | - Nan Zhang
- School of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, 58 Yanta Road, Xi'an, 710054, China
| | - Zhiyuan Liu
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Qingsong Li
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Feilong Zhang
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Zequn Cui
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Keqin Zhang
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing, Engineering, Soochow University, Suzhou, 215123, China
| | - Peng Li
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China
| | - Yuan Cheng
- Monash Suzhou Research Institute, 377 Linquan Street, Suzhou, 215123, China
| | - Shaomin Zhang
- Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China
| | - Xiaodong Chen
- Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
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Kita Y, Tsuruhara S, Kubo H, Yamashita K, Seikoba Y, Idogawa S, Sawahata H, Yamagiwa S, Leong XLA, Numano R, Koida K, Kawano T. Three-micrometer-diameter needle electrode with an amplifier for extracellular in vivo recordings. Proc Natl Acad Sci U S A 2021; 118:e2008233118. [PMID: 33846241 PMCID: PMC8072214 DOI: 10.1073/pnas.2008233118] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Microscale needle-electrode devices offer neuronal signal recording capability in brain tissue; however, using needles of smaller geometry to minimize tissue damage causes degradation of electrical properties, including high electrical impedance and low signal-to-noise ratio (SNR) recording. We overcome these limitations using a device assembly technique that uses a single needle-topped amplifier package, called STACK, within a device of ∼1 × 1 mm2 Based on silicon (Si) growth technology, a <3-µm-tip-diameter, 400-µm-length needle electrode was fabricated on a Si block as the module. The high electrical impedance characteristics of the needle electrode were improved by stacking it on the other module of the amplifier. The STACK device exhibited a voltage gain of >0.98 (-0.175 dB), enabling recording of the local field potential and action potentials from the mouse brain in vivo with an improved SNR of 6.2. Additionally, the device allowed us to use a Bluetooth module to demonstrate wireless recording of these neuronal signals; the chronic experiment was also conducted using STACK-implanted mice.
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Affiliation(s)
- Yuto Kita
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Shuhei Tsuruhara
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Hiroshi Kubo
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Koji Yamashita
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Yu Seikoba
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Shinnosuke Idogawa
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Hirohito Sawahata
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
- National Institute of Technology, Ibaraki College, 866 Nakane, 312-8508 Hitachinaka, Japan
| | - Shota Yamagiwa
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Xian Long Angela Leong
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Rika Numano
- Department of Applied Chemistry and Life Science, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Kowa Koida
- Department of Computer Science and Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
- Electronics-Inspired Interdisciplinary Research Institute, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan
| | - Takeshi Kawano
- Department of Electrical and Electric Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tempaku-cho, 441-8580 Toyohashi, Japan;
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7
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Steinmetz NA, Aydin C, Lebedeva A, Okun M, Pachitariu M, Bauza M, Beau M, Bhagat J, Böhm C, Broux M, Chen S, Colonell J, Gardner RJ, Karsh B, Kloosterman F, Kostadinov D, Mora-Lopez C, O'Callaghan J, Park J, Putzeys J, Sauerbrei B, van Daal RJJ, Vollan AZ, Wang S, Welkenhuysen M, Ye Z, Dudman JT, Dutta B, Hantman AW, Harris KD, Lee AK, Moser EI, O'Keefe J, Renart A, Svoboda K, Häusser M, Haesler S, Carandini M, Harris TD. Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science 2021. [PMID: 33859006 DOI: 10.1101/2020.10.27.358291] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Measuring the dynamics of neural processing across time scales requires following the spiking of thousands of individual neurons over milliseconds and months. To address this need, we introduce the Neuropixels 2.0 probe together with newly designed analysis algorithms. The probe has more than 5000 sites and is miniaturized to facilitate chronic implants in small mammals and recording during unrestrained behavior. High-quality recordings over long time scales were reliably obtained in mice and rats in six laboratories. Improved site density and arrangement combined with newly created data processing methods enable automatic post hoc correction for brain movements, allowing recording from the same neurons for more than 2 months. These probes and algorithms enable stable recordings from thousands of sites during free behavior, even in small animals such as mice.
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Affiliation(s)
- Nicholas A Steinmetz
- UCL Institute of Ophthalmology, University College London, London, UK.
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | | | - Anna Lebedeva
- Sainsbury Wellcome Centre, University College London, London, UK
| | - Michael Okun
- Centre for Systems Neuroscience and Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marius Pachitariu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Marius Bauza
- Sainsbury Wellcome Centre, University College London, London, UK
| | - Maxime Beau
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Jai Bhagat
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Claudia Böhm
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Susu Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Jennifer Colonell
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Richard J Gardner
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bill Karsh
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Fabian Kloosterman
- Neuroelectronics Research Flanders, Leuven, Belgium
- IMEC, Leuven, Belgium
- Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium
- Brain and Cognition, KU Leuven, Leuven, Belgium
| | - Dimitar Kostadinov
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | | | | | - Junchol Park
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Britton Sauerbrei
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Rik J J van Daal
- ATLAS Neuroengineering, Leuven, Belgium
- Neuroelectronics Research Flanders, Leuven, Belgium
- Micro- and Nanosystems, KU Leuven, Leuven, Belgium
| | - Abraham Z Vollan
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Zhiwen Ye
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | - Joshua T Dudman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Adam W Hantman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Kenneth D Harris
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Albert K Lee
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Edvard I Moser
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - John O'Keefe
- Sainsbury Wellcome Centre, University College London, London, UK
| | | | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Michael Häusser
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Sebastian Haesler
- Neuroelectronics Research Flanders, Leuven, Belgium
- Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium
| | - Matteo Carandini
- UCL Institute of Ophthalmology, University College London, London, UK.
| | - Timothy D Harris
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
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8
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Steinmetz NA, Aydin C, Lebedeva A, Okun M, Pachitariu M, Bauza M, Beau M, Bhagat J, Böhm C, Broux M, Chen S, Colonell J, Gardner RJ, Karsh B, Kloosterman F, Kostadinov D, Mora-Lopez C, O'Callaghan J, Park J, Putzeys J, Sauerbrei B, van Daal RJJ, Vollan AZ, Wang S, Welkenhuysen M, Ye Z, Dudman JT, Dutta B, Hantman AW, Harris KD, Lee AK, Moser EI, O'Keefe J, Renart A, Svoboda K, Häusser M, Haesler S, Carandini M, Harris TD. Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science 2021; 372:eabf4588. [PMID: 33859006 PMCID: PMC8244810 DOI: 10.1126/science.abf4588] [Citation(s) in RCA: 296] [Impact Index Per Article: 98.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 03/01/2021] [Indexed: 12/22/2022]
Abstract
Measuring the dynamics of neural processing across time scales requires following the spiking of thousands of individual neurons over milliseconds and months. To address this need, we introduce the Neuropixels 2.0 probe together with newly designed analysis algorithms. The probe has more than 5000 sites and is miniaturized to facilitate chronic implants in small mammals and recording during unrestrained behavior. High-quality recordings over long time scales were reliably obtained in mice and rats in six laboratories. Improved site density and arrangement combined with newly created data processing methods enable automatic post hoc correction for brain movements, allowing recording from the same neurons for more than 2 months. These probes and algorithms enable stable recordings from thousands of sites during free behavior, even in small animals such as mice.
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Affiliation(s)
- Nicholas A Steinmetz
- UCL Institute of Ophthalmology, University College London, London, UK.
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | | | - Anna Lebedeva
- Sainsbury Wellcome Centre, University College London, London, UK
| | - Michael Okun
- Centre for Systems Neuroscience and Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marius Pachitariu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Marius Bauza
- Sainsbury Wellcome Centre, University College London, London, UK
| | - Maxime Beau
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Jai Bhagat
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Claudia Böhm
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Susu Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Jennifer Colonell
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Richard J Gardner
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bill Karsh
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Fabian Kloosterman
- Neuroelectronics Research Flanders, Leuven, Belgium
- IMEC, Leuven, Belgium
- Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium
- Brain and Cognition, KU Leuven, Leuven, Belgium
| | - Dimitar Kostadinov
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | | | | | - Junchol Park
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Britton Sauerbrei
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Rik J J van Daal
- ATLAS Neuroengineering, Leuven, Belgium
- Neuroelectronics Research Flanders, Leuven, Belgium
- Micro- and Nanosystems, KU Leuven, Leuven, Belgium
| | - Abraham Z Vollan
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Zhiwen Ye
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | - Joshua T Dudman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | | | - Adam W Hantman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Kenneth D Harris
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Albert K Lee
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Edvard I Moser
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - John O'Keefe
- Sainsbury Wellcome Centre, University College London, London, UK
| | | | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Michael Häusser
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Sebastian Haesler
- Neuroelectronics Research Flanders, Leuven, Belgium
- Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium
| | - Matteo Carandini
- UCL Institute of Ophthalmology, University College London, London, UK.
| | - Timothy D Harris
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
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9
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Luo Y, Li W, Lin Q, Zhang F, He K, Yang D, Loh XJ, Chen X. A Morphable Ionic Electrode Based on Thermogel for Non-Invasive Hairy Plant Electrophysiology. Adv Mater 2021; 33:e2007848. [PMID: 33660373 DOI: 10.1002/adma.202007848] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/09/2021] [Indexed: 06/12/2023]
Abstract
Plant electrophysiology lays the foundation for smart plant interrogation and intervention. However, plant trichomes with hair-like morphologies present topographical features that challenge stable and high-fidelity non-invasive electrophysiology, due to the inadequate dynamic shape adaptability of conventional electrodes. Here, this issue is overcome using a morphable ionic electrode based on a thermogel, which gradually transforms from a viscous liquid to a viscoelastic gel. This transformation enables the morphable electrode to lock into the abrupt hairy surface irregularities and establish a conformal and adhesive interface. It achieves down to one tenth of the impedance and 4-5 times the adhesive strengths of conventional hydrogel electrodes on hairy leaves. As a result of the improved electrical and mechanical robustness, the morphable electrode can record more than one order of magnitude higher signal-to-noise ratio on hairy plants and maintains high-fidelity recording despite plant movements, achieving superior performance to conventional hydrogel electrodes. The reported morphable electrode is a promising tool for hairy plant electrophysiology and may be applied to diversely textured plants for advanced sensing and modulation.
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Affiliation(s)
- Yifei Luo
- Innovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, #08-03, Singapore, 138634, Singapore
| | - Wenlong Li
- Innovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Qianyu Lin
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, #08-03, Singapore, 138634, Singapore
| | - Feilong Zhang
- Innovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Ke He
- Innovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Dapeng Yang
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou, Fujian, 362000, China
| | - Xian Jun Loh
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis, #08-03, Singapore, 138634, Singapore
| | - 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, 50 Nanyang Avenue, Singapore, 639798, Singapore
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10
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Zaitseva E, Obergrussberger A, Weichbrodt C, Boukhet M, Bernhard F, Hein C, Baaken G, Fertig N, Behrends JC. Electrophysiology on Channel-Forming Proteins in Artificial Lipid Bilayers: Next-Generation Instrumentation for Multiple Recordings in Parallel. Methods Mol Biol 2021; 2188:67-92. [PMID: 33119847 DOI: 10.1007/978-1-0716-0818-0_4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Artificial lipid bilayers have been used for several decades to study channel-forming pores and ion channels in membranes. Until recently, the classical two-chamber setups have been primarily used for studying the biophysical properties of pore forming proteins. Within the last 10 years, instruments for automated lipid bilayer measurements have been developed and are now commercially available. This chapter focuses on protein purification and reconstitution of channel-forming proteins into lipid bilayers using a classic setup and on the commercially available systems, the Orbit mini and Orbit 16.
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Affiliation(s)
| | | | | | | | - Frank Bernhard
- Institute of Biophysical Chemistry & Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Christopher Hein
- Institute of Biophysical Chemistry & Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Frankfurt am Main, Germany
| | | | | | - Jan C Behrends
- Laboratory for Membrane Physiology and Technology, Department of Physiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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11
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Saminathan A, Devany J, Veetil AT, Suresh B, Pillai KS, Schwake M, Krishnan Y. A DNA-based voltmeter for organelles. Nat Nanotechnol 2021; 16:96-103. [PMID: 33139937 PMCID: PMC8513801 DOI: 10.1038/s41565-020-00784-1] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 09/21/2020] [Indexed: 05/16/2023]
Abstract
The role of membrane potential in most intracellular organelles remains unexplored because of the lack of suitable tools. Here, we describe Voltair, a fluorescent DNA nanodevice that reports the absolute membrane potential and can be targeted to organelles in live cells. Voltair consists of a voltage-sensitive fluorophore and a reference fluorophore for ratiometry, and acts as an endocytic tracer. Using Voltair, we could measure the membrane potential of different organelles in situ in live cells. Voltair can potentially guide the rational design of biocompatible electronics and enhance our understanding of how membrane potential regulates organelle biology.
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Affiliation(s)
- Anand Saminathan
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Grossman Institute of Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago, Chicago, IL, USA
| | - John Devany
- Department of Physics, The University of Chicago, Chicago, IL, USA
| | - Aneesh Tazhe Veetil
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Grossman Institute of Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago, Chicago, IL, USA
| | - Bhavyashree Suresh
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- Grossman Institute of Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago, Chicago, IL, USA
| | | | - Michael Schwake
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Biochemistry III/Faculty of Chemistry, Bielefeld University, Universitätsstraße 25, Bielefeld, Germany
| | - Yamuna Krishnan
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
- Grossman Institute of Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago, Chicago, IL, USA.
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12
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Fernández-Sánchez VE, Martínez-Martínez MA, Taramundi-Argüeso S, Pérez-Lorensu PJ. [Recommendations on neurophysiological studies during the COVID-19 pandemic]. Rev Neurol 2020; 71:340-350. [PMID: 33085079 DOI: 10.33588/rn.7109.2020329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
At the end of January, the current outbreak of COVID-19 coronavirus disease was declared an important international public health emergency. In Spain, since the government declared the state of alarm on 14 March 2020, doctors responsible for carrying out neurophysiological tests have been performing them without any consensus criterion or clear safety guidelines for doctors, technicians or patients. The following recommendations, based on current knowledge of the disease and therefore liable to change in the future, are proposed when the pandemic appears to have entered a process of decreasing virulence and, with it, the strict containment measures established to date. However, in view of the possibility of a second wave of the pandemic, it seems necessary to establish basic and minimum recommendations to respect the patient's right to appropriate care, similar to that provided prior to the pandemic, and to maintain minimum safety standards for the patients themselves and for the doctors, technicians and health personnel carrying out these tests. These recommendations concern the constitution of a priority based on the reason for consultation, the establishment of calls to check the patient's clinical situation before going to the outpatient department and the rules for carrying out neurophysiological tests, which are generally based on the preservation of hospital circuits, respect for and observation of the known barriers to contagion of this disease, and the use of disposable material. These recommendations are of particular interest, especially given the uncertainty of not knowing the evolution of the SARS-CoV-2 infection in the coming weeks or months.
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13
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Luo TZ, Bondy AG, Gupta D, Elliott VA, Kopec CD, Brody CD. An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats. eLife 2020; 9:e59716. [PMID: 33089778 PMCID: PMC7721443 DOI: 10.7554/elife.59716] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 10/21/2020] [Indexed: 12/22/2022] Open
Abstract
The use of Neuropixels probes for chronic neural recordings is in its infancy and initial studies leave questions about long-term stability and probe reusability unaddressed. Here, we demonstrate a new approach for chronic Neuropixels recordings over a period of months in freely moving rats. Our approach allows multiple probes per rat and multiple cycles of probe reuse. We found that hundreds of units could be recorded for multiple months, but that yields depended systematically on anatomical position. Explanted probes displayed a small increase in noise compared to unimplanted probes, but this was insufficient to impair future single-unit recordings. We conclude that cost-effective, multi-region, and multi-probe Neuropixels recordings can be carried out with high yields over multiple months in rats or other similarly sized animals. Our methods and observations may facilitate the standardization of chronic recording from Neuropixels probes in freely moving animals.
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Affiliation(s)
| | | | - Diksha Gupta
- Princeton Neuroscience InstitutePrincetonUnited States
| | | | | | - Carlos D Brody
- Princeton Neuroscience InstitutePrincetonUnited States
- Howard Hughes Medical Institute, Princeton UniversityPrincetonUnited States
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14
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Gerlei K, Passlack J, Hawes I, Vandrey B, Stevens H, Papastathopoulos I, Nolan MF. Grid cells are modulated by local head direction. Nat Commun 2020; 11:4228. [PMID: 32839445 PMCID: PMC7445272 DOI: 10.1038/s41467-020-17500-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 07/02/2020] [Indexed: 01/11/2023] Open
Abstract
Grid and head direction codes represent cognitive spaces for navigation and memory. Pure grid cells generate grid codes that have been assumed to be independent of head direction, whereas conjunctive cells generate grid representations that are tuned to a single head direction. Here, we demonstrate that pure grid cells also encode head direction, but through distinct mechanisms. We show that individual firing fields of pure grid cells are tuned to multiple head directions, with the preferred sets of directions differing between fields. This local directional modulation is not predicted by previous continuous attractor or oscillatory interference models of grid firing but is accounted for by models in which pure grid cells integrate inputs from co-aligned conjunctive cells with firing rates that differ between their fields. We suggest that local directional signals from grid cells may contribute to downstream computations by decorrelating different points of view from the same location.
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Affiliation(s)
- Klara Gerlei
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK
| | - Jessica Passlack
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK
| | - Ian Hawes
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK
| | - Brianna Vandrey
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK
| | - Holly Stevens
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK
| | - Ioannis Papastathopoulos
- School of Mathematics, Maxwell Institute and Centre for Statistics, University of Edinburgh, Edinburgh, EH9 3FD, UK
- The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK
| | - Matthew F Nolan
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK.
- Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, EH8 9XD, UK.
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15
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Valente M. Maturational Effects of the Vestibular System: A Study of Rotary Chair, Computerized Dynamic Posturography, and Vestibular Evoked Myogenic Potentials with Children. J Am Acad Audiol 2020; 18:461-81. [PMID: 17849635 DOI: 10.3766/jaaa.18.6.2] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Maturational effects were investigated in two age groups (N = 30 per group) of children with normal hearing sensitivity, using rotary chair (RC), computerized dynamic posturography (CDP), and vestibular evoked myogenic potential (VEMP) measures. Children recruited within the younger group were three through six years of age, and children within the older group were nine through eleven years of age. Data obtained for each pediatric group were compared with clinic and/or published adult normative data for each measure. Significant age effects were seen on many CDP subtests (sensory organization test and motor control test); VEMP latencies; and RC gain, phase, and step velocity measures. The results of this study demonstrate significant maturational effects from preschool age through adulthood and suggest that adult normative data may not be appropriate when interpreting pediatric test results. Since adult techniques should oftentimes not be utilized, a proposed test battery is described that may be efficiently utilized with pediatric patients. Se investigaron los efectos de la maduración en niños con sensibilidad auditiva normal en dos grupos de edad (n = 30 por grupo), utilizando la silla rotatoria (RC), la posturografía dinámica computarizada (CDP) y mediciones de potenciales evocados miogénicos vestibulares (VEMP). Los niños reclutados dentro del grupo más joven tenían de tres a seis años de edad, y los niños en el grupo más viejo tenían de nueve a once años de edad. Los datos obtenidos de cada grupo pediátrico se compararon con datos normativos de adultos, clínicos y/o publicados, para cada una de las mediciones. Se encontraron efectos significativos de la edad en muchas sub-pruebas de la CDP (pruebas de organización sensorial y pruebas de control motor), en las latencias del VEMP, las medidas de ganancia, fase y velocidad de paso de la RC. Los resultados de este estudio demuestran efectos significativos de maduración en niños pre-escolares hasta la edad adulta, y sugiere que los datos normativos de adultos pueden no ser apropiados cuando se interpretan resultados pediátricos. Dado que las técnicas para adultos a menudo no deben ser utilizadas, se describe una batería propuesta de pruebas que puede ser eficientemente usada en pacientes pediátricos.
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Affiliation(s)
- Maureen Valente
- Program in Audiology and Communication Sciences, Washington University School of Medicine, St. Louis, MO 63110, USA.
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16
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Abstract
A chief goal in neuroscience is to understand how neuronal activity relates to behavior, perception, and cognition. However, monitoring neuronal activity over long periods of time is technically challenging, and limited, in part, by the invasive nature of recording tools. While electrodes allow for recording in freely-behaving animals, they tend to be bulky and stiff, causing damage to the tissue they are implanted in. One solution to this invasiveness problem may be probes that are small enough to fly under the immune system's radar. Carbon fiber (CF) electrodes are thinner and more flexible than typical metal or silicon electrodes, but the arrays described in previous reports had low channel counts and required time-consuming manual assembly. Here we report the design of an expanded-channel-count carbon fiber electrode array (CFEA) as well as a method for fast preparation of the recording sites using acid etching and electroplating with PEDOT-TFB, and demonstrate the ability of the 64-channel CFEA to record from rat visual cortex. We include designs for interfacing the system with micro-drives or flex-PCB cables for recording from multiple brain regions, as well as a facilitated method for coating CFs with the insulator Parylene-C. High-channel-count CFEAs may thus be an alternative to traditional microwire-based electrodes and a practical tool for exploring the neural code.
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Affiliation(s)
- Grigori Guitchounts
- Center for Brain Science, Harvard University, Cambridge, Massachusetts, 02138, USA.
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.
- Program in Neuroscience, Harvard University, Cambridge, Massachusetts, 02138, USA.
| | - David Cox
- Center for Brain Science, Harvard University, Cambridge, Massachusetts, 02138, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA
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17
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Abstract
Biosynaptic devices based on chicken egg albumen (CEA):graphene quantum dot (GQD) hybrid nanocomposites were fabricated to achieve stable synaptic behaviors. Current-voltage (I-V) curves for the biosynaptic devices under consecutive negative and positive voltage sweeps showed clockwise pinched hysteresis, which is a critical feature of a biological synapse. The effect of the GQD concentration in the CEA layer on the device performance was studied. The retention time of the biosynaptic devices was relatively constant, maintaining a value above 104 s under ambient conditions. The carrier transport mechanisms of the biosynaptic devices were described and analyzed on the basis of the slopes of the I-V curves and their fittings.
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Affiliation(s)
- Sihyun Sung
- Department of Electronics and Computer Engineering, Hanyang University, Seoul, 04763, South Korea
| | - Jae Hyeon Park
- Department of Electronics and Computer Engineering, Hanyang University, Seoul, 04763, South Korea
| | - Chaoxing Wu
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
| | - Tae Whan Kim
- Department of Electronics and Computer Engineering, Hanyang University, Seoul, 04763, South Korea.
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18
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Shadmani A, Viswam V, Chen Y, Bounik R, Dragas J, Radivojevic M, Geissler S, Sitnikov S, Muller J, Hierlemann A. Stimulation and Artifact-Suppression Techniques for In Vitro High-Density Microelectrode Array Systems. IEEE Trans Biomed Eng 2019; 66:2481-2490. [PMID: 30605090 PMCID: PMC6711758 DOI: 10.1109/tbme.2018.2890530] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
We present novel voltage stimulation buffers with controlled output current, along with recording circuits featuring adjustable high-pass cut-off filtering to perform efficient stimulation while actively suppressing stimulation artifacts in high-density microelectrode arrays. Owing to the dense packing and close proximity of the electrodes in such systems, a stimulation through one electrode can cause large electrical artifacts on neighboring electrodes that easily saturate the corresponding recording amplifiers. To suppress such artifacts, the high-pass corner frequencies of all available 2048 recording channels can be raised from several Hz to several kHz by applying a "soft-reset" or pole-shifting technique. With the implemented artifact suppression technique, the saturation time of the recording circuits, connected to electrodes in immediate vicinity to the stimulation site, could be reduced to less than 150 μs. For the stimulation buffer, we developed a circuit, which can operate in two modes: either control of only the stimulation voltage or control of current and voltage during stimulation. The voltage-only controlled mode employs a local common-mode feedback operational transconductance amplifier with a near rail-to-rail input/output range, suitable for driving high-capacitive loads. The current/voltage controlled mode is based on a positive current conveyor generating adjustable output currents, whereas its upper and lower output voltages are limited by two feedback loops. The current/voltage controlled circuit can generate stimulation pulses up to 30 μA with less than ±0.1% linearity error in the low-current mode and up to 300 μA with less than ±0.2% linearity error in the high-current mode.
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19
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Abstract
High-density microelectrode arrays (HD-MEAs) are increasingly being used for the observation and manipulation of neurons and networks in vitro. Large-scale electrode arrays allow for long-term extracellular recording of the electrical activity from thousands of neurons simultaneously. Beyond population activity, it has also become possible to extract information of single neurons at subcellular level (e.g., the propagation of action potentials along axons). In effect, HD-MEAs have become an electrical imaging platform for label-free extraction of the structure and activation of cells in cultures and tissues. The quality of HD-MEA data depends on the resolution of the electrode array and the signal-to-noise ratio. In this chapter, we begin with an introduction to HD-MEA signals. We provide an overview of the developments on complementary metal-oxide-semiconductor or CMOS-based HD-MEA technology. We also discuss the factors affecting the performance of HD-MEAs and the trending application requirements that drive the efforts for future devices. We conclude with an outlook on the potential of HD-MEAs for advancing basic neuroscience and drug discovery.
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Affiliation(s)
- Marie Engelene J Obien
- Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
- MaxWell Biosystems, Basel, Switzerland.
| | - Urs Frey
- Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- MaxWell Biosystems, Basel, Switzerland
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Abstract
Understanding how cortical activity generates sensory perceptions requires a detailed dissection of the function of cortical layers. Despite our relatively extensive knowledge of their anatomy and wiring, we have a limited grasp of what each layer contributes to cortical computation. We need to develop a theory of cortical function that is rooted solidly in each layer's component cell types and fine circuit architecture and produces predictions that can be validated by specific perturbations. Here we briefly review the progress toward such a theory and suggest an experimental road map toward this goal. We discuss new methods for the all-optical interrogation of cortical layers, for correlating in vivo function with precise identification of transcriptional cell type, and for mapping local and long-range activity in vivo with synaptic resolution. The new technologies that can crack the function of cortical layers are finally on the immediate horizon.
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Affiliation(s)
- Hillel Adesnik
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
| | - Alexander Naka
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
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21
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Meyer AF, Poort J, O'Keefe J, Sahani M, Linden JF. A Head-Mounted Camera System Integrates Detailed Behavioral Monitoring with Multichannel Electrophysiology in Freely Moving Mice. Neuron 2019; 100:46-60.e7. [PMID: 30308171 PMCID: PMC6195680 DOI: 10.1016/j.neuron.2018.09.020] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 08/03/2018] [Accepted: 09/11/2018] [Indexed: 12/17/2022]
Abstract
Breakthroughs in understanding the neural basis of natural behavior require neural recording and intervention to be paired with high-fidelity multimodal behavioral monitoring. An extensive genetic toolkit for neural circuit dissection, and well-developed neural recording technology, make the mouse a powerful model organism for systems neuroscience. However, most methods for high-bandwidth acquisition of behavioral data in mice rely upon fixed-position cameras and other off-animal devices, complicating the monitoring of animals freely engaged in natural behaviors. Here, we report the development of a lightweight head-mounted camera system combined with head-movement sensors to simultaneously monitor eye position, pupil dilation, whisking, and pinna movements along with head motion in unrestrained, freely behaving mice. The power of the combined technology is demonstrated by observations linking eye position to head orientation; whisking to non-tactile stimulation; and, in electrophysiological experiments, visual cortical activity to volitional head movements. Eyes, whiskers, head, and neural activity monitored in freely moving mice System generates stable video output and leaves mouse behavior largely unchanged Close link between eye and head movements at both slow and fast timescales Active head movements in the dark strongly modulate primary visual cortex activity
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Affiliation(s)
- Arne F Meyer
- Gatsby Computational Neuroscience Unit, University College London (UCL), London W1T 4JG, UK.
| | - Jasper Poort
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London W1T 4JG, UK.
| | - John O'Keefe
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London W1T 4JG, UK; Department of Cell and Developmental Biology, UCL, London WC1E 6BT, UK
| | - Maneesh Sahani
- Gatsby Computational Neuroscience Unit, University College London (UCL), London W1T 4JG, UK
| | - Jennifer F Linden
- Ear Institute, UCL, London WC1X 8EE, UK; Department of Neuroscience, Physiology and Pharmacology, UCL, London WC1E 6BT, UK.
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22
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Zhao Y, You SS, Zhang A, Lee JH, Huang J, Lieber CM. Scalable ultrasmall three-dimensional nanowire transistor probes for intracellular recording. Nat Nanotechnol 2019; 14:783-790. [PMID: 31263191 DOI: 10.1038/s41565-019-0478-y] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 05/15/2019] [Indexed: 05/23/2023]
Abstract
New tools for intracellular electrophysiology that push the limits of spatiotemporal resolution while reducing invasiveness could provide a deeper understanding of electrogenic cells and their networks in tissues, and push progress towards human-machine interfaces. Although significant advances have been made in developing nanodevices for intracellular probes, current approaches exhibit a trade-off between device scalability and recording amplitude. We address this challenge by combining deterministic shape-controlled nanowire transfer with spatially defined semiconductor-to-metal transformation to realize scalable nanowire field-effect transistor probe arrays with controllable tip geometry and sensor size, which enable recording of up to 100 mV intracellular action potentials from primary neurons. Systematic studies on neurons and cardiomyocytes show that controlling device curvature and sensor size is critical for achieving high-amplitude intracellular recordings. In addition, this device design allows for multiplexed recording from single cells and cell networks and could enable future investigations of dynamics in the brain and other tissues.
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Affiliation(s)
- Yunlong Zhao
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Advanced Technology Institute, University of Surrey, Guildford, Surrey, UK
| | - Siheng Sean You
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Anqi Zhang
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Jae-Hyun Lee
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea
| | - Jinlin Huang
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Charles M Lieber
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
- Center for Brain Science, Harvard University, Cambridge, MA, USA.
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
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Obien MEJ, Hierlemann A, Frey U. Accurate signal-source localization in brain slices by means of high-density microelectrode arrays. Sci Rep 2019; 9:788. [PMID: 30692552 PMCID: PMC6349853 DOI: 10.1038/s41598-018-36895-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 11/28/2018] [Indexed: 12/12/2022] Open
Abstract
Extracellular recordings by means of high-density microelectrode arrays (HD-MEAs) have become a powerful tool to resolve subcellular details of single neurons in active networks grown from dissociated cells. To extend the application of this technology to slice preparations, we developed models describing how extracellular signals, produced by neuronal cells in slices, are detected by microelectrode arrays. The models help to analyze and understand the electrical-potential landscape in an in vitro HD-MEA-recording scenario based on point-current sources. We employed two modeling schemes, (i) a simple analytical approach, based on the method of images (MoI), and (ii) an approach, based on finite-element methods (FEM). We compared and validated the models with large-scale, high-spatiotemporal-resolution recordings of slice preparations by means of HD-MEAs. We then developed a model-based localization algorithm and compared the performance of MoI and FEM models. Both models provided accurate localization results and a comparable and negligible systematic error, when the point source was in saline, a condition similar to cell-culture experiments. Moreover, the relative random error in the x-y-z-localization amounted only up to 4.3% for z-distances up to 200 μm from the HD-MEA surface. In tissue, the systematic errors of both, MoI and FEM models were significantly higher, and a pre-calibration was required. Nevertheless, the FEM values proved to be closer to the tissue experimental results, yielding 5.2 μm systematic mean error, compared to 22.0 μm obtained with MoI. These results suggest that the medium volume or "saline height", the brain slice thickness and anisotropy, and the location of the reference electrode, which were included in the FEM model, considerably affect the extracellular signal and localization performance, when the signal source is at larger distance to the array. After pre-calibration, the relative random error of the z-localization in tissue was only 3% for z-distances up to 200 μm. We then applied the model and related detailed understanding of extracellular recordings to achieve an electrically-guided navigation of a stimulating micropipette, solely based on the measured HD-MEA signals, and managed to target spontaneously active neurons in an acute brain slice for electroporation.
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Affiliation(s)
- Marie Engelene J Obien
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
- RIKEN Quantitative Biology Center, Kobe, Japan.
- MaxWell Biosystems AG, Basel, Switzerland.
| | - Andreas Hierlemann
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Urs Frey
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- RIKEN Quantitative Biology Center, Kobe, Japan
- MaxWell Biosystems AG, Basel, Switzerland
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24
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Carmeliet E. From Bernstein's rheotome to Neher-Sakmann's patch electrode. The action potential. Physiol Rep 2019; 7:e13861. [PMID: 30604910 PMCID: PMC6316177 DOI: 10.14814/phy2.13861] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 07/10/2018] [Accepted: 07/28/2018] [Indexed: 01/08/2023] Open
Abstract
The aim of this review was to provide an overview of the most important stages in the development of cellular electrophysiology. The period covered starts with Bernstein's formulation of the membrane hypothesis and the measurement of the nerve and muscle action potential. Technical innovations make discoveries possible. This was the case with the use of the squid giant axon, allowing the insertion of "large" intracellular electrodes and derivation of transmembrane potentials. Application of the newly developed voltage clamp method for measuring ionic currents, resulted in the formulation of the ionic theory. At the same time transmembrane measurements were made possible in smaller cells by the introduction of the microelectrode. An improvement of this electrode was the next major (r)evolution. The patch electrode made it possible to descend to the molecular level and record single ionic channel activity. The patch technique has been proven to be exceptionally versatile. In its whole-cell configuration it was the solution to measure voltage clamp currents in small cells. See also: https://doi.org/10.14814/phy2.13860 & https://doi.org/10.14814/phy2.13862.
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25
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Abstract
Respiratory failure is common during acute exacerbation of chronic obstructive pulmonary disease (AE-COPD). Phrenic nerve conduction (PNC), transcranial magnetic stimulation (TMS), and cervical magnetic stimulation (CMS) are of great value in identifying the feature and site of AE-COPD.PNC, TMS, and CMS were performed in 20 AE-COPD patients with respiratory failure, and re-examined after weaning. Latencies and amplitudes of the diaphragmatic compound muscle action potential (dCMAP), motor evoked potential of the diaphragm (dMEP) evoked by TMS and CMS, and central motor conduction time (CMCT) were measured. Blood gas analysis and serum electrolyte levels were also evaluated. The results were compared with those from 20 healthy subjects.AE-COPD patients showed prolonged CMCT and latencies of dCMAP and dMEP, decreased amplitudes of dCMAP and dMEP evoked by CMS, while CMCT and the latency of dMEP evoked by TMS were shortened after weaning. Significant correlation was identified between arterial blood gas analysis, serum electrolyte levels, disease duration, the duration of mechanical ventilation and the electrophysiological findings in AE-COPD patients prior to weaning.The central and peripheral respiratory pathway is involved in AE-COPD. Central respiratory pathway function is improved after weaning in AE-COPD patients with respiratory failure.
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Affiliation(s)
- Yu Wang
- Department of Neurology, Third Central Hospital of Tianjin
- Tianjin Institute of Hepatobiliary Disease
- Tianjin Key Laboratory of Artificial Cell
- Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China
| | - Na Liu
- Department of Neurology, Third Central Hospital of Tianjin
- Tianjin Institute of Hepatobiliary Disease
- Tianjin Key Laboratory of Artificial Cell
- Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China
| | - Zhecheng Zhang
- Department of Neurology, Third Central Hospital of Tianjin
- Tianjin Institute of Hepatobiliary Disease
- Tianjin Key Laboratory of Artificial Cell
- Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin, China
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Viswam V, Bounik R, Shadmani A. Impedance Spectroscopy and Electrophysiological Imaging of Cells With a High-Density CMOS Microelectrode Array System. IEEE Trans Biomed Circuits Syst 2018; 12:1356-1368. [PMID: 30418922 PMCID: PMC6330095 DOI: 10.1109/tbcas.2018.2881044] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
A monolithic multi-functional CMOS microelectrode array system was developed that enables label-free electrochemical impedance spectroscopy of cells in vitro at high spatiotemporal resolution. The electrode array includes 59,760 platinum microelectrodes, densely packed within a 4.5 mm × 2.5 mm sensing region at a pitch of 13.5 μm. A total of 32 on-chip lock-in amplifiers can be used to measure the impedance of any arbitrarily chosen subset of electrodes in the array. A sinusoidal voltage, generated by an on-chip waveform generator with a frequency range from 1 Hz to 1 MHz, was applied to the reference electrode. The sensing currents through the selected recording electrodes were amplified, demodulated, filtered, and digitized to obtain the magnitude and phase information of the respective impedances. The circuitry consumes only 412 μW at 3.3 V supply voltage and occupies only 0.1 mm2, for each channel. The system also included 2048 extracellular action-potential recording channels on the same chip. Proof of concept measurements of electrical impedance imaging and electrophysiology recording of cardiac cells and brain slices are demonstrated in this paper. Optical and impedance images showed a strong correlation.
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Affiliation(s)
- Vijay Viswam
- (phone: +41 61 387 33 54; fax: +41 61 387 39 94; )
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27
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Abstract
Aim To compare flash visual evoked potentials (FVEP) elicited using a Ganzfeld bowl (G), Mini Ganzfeld (MG) and Flash Goggles (GG) with eyes open and closed. Patients and method The study group comprised 17 volunteers with mean age of 30 years; all of them were examined with the Roland Consult electrophysiological diagnostic system. Active electrodes were placed at O1 and O2. With the G and MG stimulators, the flash generated by white-light-emitting diodes (LEDs) presented standard flash of 3 cd s m−2. The GG used red LED flash of 3 cd s m−2. Stimulus frequency of 1.0 Hz, low-pass filter of 1.0 Hz and high-pass filters of 100 Hz (G); 50 Hz (MG); 30 Hz (GG) were used. P2 amplitude and latency were compared by the means of the Wilcoxon matched-pairs signed-rank test. Results After right eye stimulation (from O1; n = 17), the mean amplitudes of P2, elicited with the G, MG and GG, were 13, 7 and 10 µV, respectively. The respective latencies were 129, 114 and 110 ms. Hence, the difference between the results obtained with these stimulators was statistically significant (p < 0.05). The mean P2 amplitudes, acquired by the means of the G, MG and GG, were 13 µV, 7 µV and 10 µV for open eyes, and 11 µV, 8 µV and 8 µV for closed eyes. The respective latencies were 129, 114 and 110 ms for eyes open, and 127, 125 and 121 ms for eyes closed. These results of the MG (latency only) and GG (latency and amplitude) stimulation differed significantly (p < 0.05). Conclusion The amplitudes and latencies of the FVEP P2 elicited with different stimulators are not suitable for comparison. Closing the eye during the examination had a significant effect on the components of FVEP waveform elicited with the Flash Goggle and on the latency of P2 elicited with the MG.
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Affiliation(s)
- Dorota Pojda-Wilczek
- Ophthalmology Clinic and Department of Ophthalmology, University Clinical Centre, School of Medicine in Katowice, Medical University of Silesia in Katowice, Ceglana 35, 40-514, Katowice, Poland.
| | - Wojciech Maruszczyk
- Ophthalmology Clinic and Department of Ophthalmology, University Clinical Centre, School of Medicine in Katowice, Medical University of Silesia in Katowice, Ceglana 35, 40-514, Katowice, Poland
| | - Sebastian Sirek
- Ophthalmology Clinic and Department of Ophthalmology, University Clinical Centre, School of Medicine in Katowice, Medical University of Silesia in Katowice, Ceglana 35, 40-514, Katowice, Poland
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28
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Casanova A, Bettamin L, Blatche MC, Mathieu F, Martin H, Gonzalez-Dunia D, Nicu L, Larrieu G. Nanowire based bioprobes for electrical monitoring of electrogenic cells. J Phys Condens Matter 2018; 30:464001. [PMID: 30277220 DOI: 10.1088/1361-648x/aae5aa] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The continuous miniaturization of electronic components and the emergence of nano-biotechnology has opened new perspectives to monitor electrical activities at the single cell level. Here, we describe the creation of very high surface-to-volume ratio passive devices (vertical nanowire probes) using large-scale fabrication process, allowing to follow the electrical activity of mammalian neurons. Based on conventional silicon processing, the silicon nanowires were silicided in platinum in order to improve their electrochemical performances and to guarantee their biocompatibility. Very high signal to noise ratio was achieved (up to 2000) when measuring spontaneous action potentials. Moreover, this bio-platform was used to record the impact of various bio-chemical and electrical stimulations on neuronal activity. To conclude, this study proposes a thorough comparison of the characteristics and performances of these new nanowire-based nanoprobes with the main alternative systems published up to now.
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Affiliation(s)
- A Casanova
- LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France
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29
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Meaney P, Rydholm T, Brisby H. A Transmission-Based Dielectric Property Probe for Clinical Applications. Sensors (Basel) 2018; 18:E3484. [PMID: 30332809 PMCID: PMC6209935 DOI: 10.3390/s18103484] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 10/06/2018] [Accepted: 10/12/2018] [Indexed: 11/16/2022]
Abstract
We have developed a transmission-based, open-ended coaxial dielectric probe that can be used in clinical situations and overcomes many of the limitations related to the typical reflection-based dielectric probes. The approach utilizes the low profile, open-ended coaxial cables enabling clinicians to still probe relatively compact spaces. The sensing depth can be extended to as large as 1.5 to 2 cm compared with the more typical range of 0.3 mm for conventional probes and is dramatically less affected by measurement technique variability including poor sample contact and cable bending. As a precursor to an actual clinical implementation, we study the technique in a range of homogeneous liquids with substantially varying dielectric properties. The initial results demonstrate good agreement between the transmission-based probe and commercial, reflection-based probes and pave the way for more substantial clinical implementation.
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Affiliation(s)
- Paul Meaney
- Electrical Engineering Department, Chalmers University of Technology, 41296 Gothenburg, Sweden.
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
| | - Tomas Rydholm
- Electrical Engineering Department, Chalmers University of Technology, 41296 Gothenburg, Sweden.
| | - Helena Brisby
- Sahlgrenska University Hospital, 41345 Gothenburg, Sweden.
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30
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Qiang Y, Artoni P, Seo KJ, Culaclii S, Hogan V, Zhao X, Zhong Y, Han X, Wang PM, Lo YK, Li Y, Patel HA, Huang Y, Sambangi A, Chu JSV, Liu W, Fagiolini M, Fang H. Transparent arrays of bilayer-nanomesh microelectrodes for simultaneous electrophysiology and two-photon imaging in the brain. Sci Adv 2018; 4:eaat0626. [PMID: 30191176 PMCID: PMC6124910 DOI: 10.1126/sciadv.aat0626] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 07/24/2018] [Indexed: 05/06/2023]
Abstract
Transparent microelectrode arrays have emerged as increasingly important tools for neuroscience by allowing simultaneous coupling of big and time-resolved electrophysiology data with optically measured, spatially and type resolved single neuron activity. Scaling down transparent electrodes to the length scale of a single neuron is challenging since conventional transparent conductors are limited by their capacitive electrode/electrolyte interface. In this study, we establish transparent microelectrode arrays with high performance, great biocompatibility, and comprehensive in vivo validations from a recently developed, bilayer-nanomesh material composite, where a metal layer and a low-impedance faradaic interfacial layer are stacked reliably together in a same transparent nanomesh pattern. Specifically, flexible arrays from 32 bilayer-nanomesh microelectrodes demonstrated near-unity yield with high uniformity, excellent biocompatibility, and great compatibility with state-of-the-art wireless recording and real-time artifact rejection system. The electrodes are highly scalable, with 130 kilohms at 1 kHz at 20 μm in diameter, comparable to the performance of microelectrodes in nontransparent Michigan arrays. The highly transparent, bilayer-nanomesh microelectrode arrays allowed in vivo two-photon imaging of single neurons in layer 2/3 of the visual cortex of awake mice, along with high-fidelity, simultaneous electrical recordings of visual-evoked activity, both in the multi-unit activity band and at lower frequencies by measuring the visual-evoked potential in the time domain. Together, these advances reveal the great potential of transparent arrays from bilayer-nanomesh microelectrodes for a broad range of utility in neuroscience and medical practices.
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Affiliation(s)
- Yi Qiang
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Pietro Artoni
- Center for Life Science, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Kyung Jin Seo
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Stanislav Culaclii
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Victoria Hogan
- Center for Life Science, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Xuanyi Zhao
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Yiding Zhong
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Xun Han
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Po-Min Wang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yi-Kai Lo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yueming Li
- School of Material Science and Engineering, Tsinghua University, Beijing 100084, China
| | - Henil A. Patel
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USA
| | - Yifu Huang
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Abhijeet Sambangi
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Jung Soo V. Chu
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Wentai Liu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Michela Fagiolini
- Center for Life Science, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Hui Fang
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
- Department of Bioengineering, Northeastern University, Boston, MA 02120, USA
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Badhiwala KN, Gonzales DL, Vercosa DG, Avants BW, Robinson JT. Microfluidics for electrophysiology, imaging, and behavioral analysis of Hydra. Lab Chip 2018; 18:2523-2539. [PMID: 29987278 DOI: 10.1039/c8lc00475g] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The nervous system of the cnidarian Hydra vulgaris exhibits remarkable regenerative abilities. When cut in two, the bisected tissue reorganizes into fully behaving animals in approximately 48 hours. Furthermore, new animals can reform from aggregates of dissociated cells. Understanding how behaviors are coordinated by this highly plastic nervous system could reveal basic principles of neural circuit dynamics underlying behaviors. However, Hydra's deformable and contractile body makes it difficult to manipulate the local environment while recording neural activity. Here, we present the first microfluidic technologies capable of simultaneous electrical, chemical, and optical interrogation of these soft, deformable organisms. Specifically, we demonstrate devices that can immobilize Hydra for hours-long simultaneous electrical and optical recording, and chemical stimulation of behaviors revealing neural activity during muscle contraction. We further demonstrate quantitative locomotive and behavioral tracking made possible by confining the animal to quasi-two-dimensional micro-arenas. Together, these proof-of-concept devices show that microfluidics provide a platform for scalable, quantitative cnidarian neurobiology. The experiments enabled by this technology may help reveal how highly plastic networks of neurons provide robust control of animal behavior.
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Affiliation(s)
- Krishna N Badhiwala
- Department of Bioengineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA.
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32
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Cervantes FA, Backus EA. EPG waveform library for Graphocephala atropunctata (Hemiptera: Cicadellidae): Effect of adhesive, input resistor, and voltage levels on waveform appearance and stylet probing behaviors. J Insect Physiol 2018; 109:21-40. [PMID: 29859838 DOI: 10.1016/j.jinsphys.2018.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 05/23/2018] [Accepted: 05/23/2018] [Indexed: 06/08/2023]
Abstract
Blue-green sharpshooter, Graphocephala atropunctata, is a native California vector of Xylella fastidiosa (Xf), a foregut-borne bacterium that is the causal agent of Pierce's disease in grapevines. A 3rd-generation, AC-DC electropenetrograph (EPG monitor) was used to record stylet probing and ingestion behaviors of adult G. atropunctata on healthy grapevines. This study presents for the first time a complete, updated waveform library for this species, as well as effects of different electropenetrograph settings and adhesives on waveform appearances. Both AC and DC applied signals were used with input resistor (Ri) levels (amplifier sensitivities) of 106, 107, 108 and 109 Ohms, as well as two type of adhesives, conducting silver paint and handmade silver glue. Waveform description, characterization of electrical origins (R versus emf components), and proposed biological meanings of waveforms are reported, as well as qualitative differences in waveform appearances observed with different electropenetrograph settings and adhesives. In addition, a quantitative study with AC signal, using two applied voltage levels (50 and 200 mV) and two Ri levels (107 and 109 Ohms) was performed. Intermediate Ri levels 107 and 108 Ohms provided EPG waveforms with the greatest amount of information, because both levels captured similar proportions of R and emf components, as supported by appearance, clarity, and definition of waveforms. Similarly, use of a gold wire loop plus handmade silver glue provided more definition of waveforms than a gold wire loop plus commercial conducting silver paint. Qualitative/observational evidence suggested that AC applied signal caused fewer aberrant behaviors/waveforms than DC applied signal. In the quantitative study, behavioral components of the sharpshooter X wave were the most affected by changes in Ri and voltage level. Because the X wave probably represents X. fastidiosa inoculation behavior, future studies of X. fastidiosa inoculation via EPG will require carefully determined instrument settings. An intermediate Ri level such as 108 Ohms with low voltage, AC applied signal, and gold wire loop plus silver glue is recommended as the best electropenetrograph methods to conduct future EPG studies of sharpshooter inoculation behaviors on Xf-resistant and -susceptible grapevine.
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Affiliation(s)
- Felix A Cervantes
- USDA Agricultural Research Service, San Joaquin Valley Agricultural Sciences Center, 9611 South Riverbend Ave., Parlier, CA 93648-9757, United States
| | - Elaine A Backus
- USDA Agricultural Research Service, San Joaquin Valley Agricultural Sciences Center, 9611 South Riverbend Ave., Parlier, CA 93648-9757, United States.
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Somarajan S, Muszynski ND, Hawrami D, Olson JD, Cheng LK, Bradshaw LA. Noninvasive Magnetogastrography Detects Erythromycin-Induced Effects on the Gastric Slow Wave. IEEE Trans Biomed Eng 2018; 66:327-334. [PMID: 29993499 DOI: 10.1109/tbme.2018.2837647] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The prokinetic action of erythromycin is clinically useful under conditions associated with gastrointestinal hypomotility. Although erythromycin is known to affect the electrogastrogram, no studies have examined the effects that erythromycin has on gastric slow wave magnetic fields. METHODS In this study, gastric slow wave activity was assessed simultaneously using noninvasive magnetogastrogram (MGG), electrogastrogram, and mucosal electromyogram recordings. Recordings were obtained for 30 min prior to and 60 min after intravenous administration of erythromycin at dosages of 3 and 6 mg/kg. RESULTS MGG recordings showed significant changes in the percentage power distribution of gastric signal after infusion of both 3 and 6 mg/kg erythromycin at t = 1-5 min that persisted for t = 30-40 min after infusion. These changes agree with the changes observed in the electromyogram. We did not observe any statistically significant difference in MGG amplitude before or after injection of either 3 or 6 mg/kg erythromycin. Both 3 and 6 mg/kg erythromycin infusion showed retrograde propagation with a statistically significant decrease in slow wave propagation velocity 11-20 min after infusion. Propagation velocity started returning toward baseline values after approximately 21-30 min for the 3 mg/kg dosage and after 31-40 min for a dosage of 6 mg/kg. CONCLUSION Our results showed that the magnetic signatures were sensitive to disruptions in normal slow wave activity induced by pharmacological and prokinetic agents such as erythromycin. SIGNIFICANCE This study shows that repeatable noninvasive bio-electro-magnetic techniques can objectively characterize gastric dysrhythmias and may quantify treatment efficacy in patients with functional gastric disorders.
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Joo S, Nam Y. Slow-Wave Recordings From Micro-Sized Neural Clusters Using Multiwell Type Microelectrode Arrays. IEEE Trans Biomed Eng 2018; 66:403-410. [PMID: 29993399 DOI: 10.1109/tbme.2018.2843793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The use of microelectrode array (MEA) recordings is a very effective neurophysiological method because it is able to continuously and noninvasively obtain the spatiotemporal information of electrical activity from many neurons constituting a neural network. Very recently, studies have been published that used MEAs for the measurement of a low-frequency component of electrical activity as an indicator of diverse activity of cultured neurons. The occurrence of low-frequency activities has electrophysiological information that does not include the information from fast spikes. However, there is no in vitro experimental model suitable for measuring the low-frequency activities (slow-waves) for further study. METHODS Neural clusters consisting of dozens of neurons were placed directly onto each electrode of an MEA from which fast spikes and slow-waves were measured. RESULTS We obtained sufficient data on the early development patterns of the slow-waves and the spikes measured from many independent neural clusters confirming that the slow-waves occurred first before the emergence of the spikes in the neural clusters. We also showed that changes in the occurrence frequency of the slow-waves for synaptic blockers were measured from a large number of independent cultures. CONCLUSION Microsized neural cluster arrays, which can be combined with conventional MEAs, are suitable for multiple simultaneous recordings of slow-waves. SIGNIFICANCE Our technology provides a simple but useful method to study the generation of a low-frequency component of the electrical activity in cultured neural networks that are not yet well known as well as to expand the use of conventional MEAs.
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Shabeeb D, Najafi M, Hasanzadeh G, Hadian MR, Musa AE, Shirazi A. Electrophysiological measurements of diabetic peripheral neuropathy: A systematic review. Diabetes Metab Syndr 2018; 12:591-600. [PMID: 29610062 DOI: 10.1016/j.dsx.2018.03.026] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 03/26/2018] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Peripheral neuropathy is one of the main complications of diabetes mellitus. One of the features of diabetic nerve damage is abnormality of sensory and motor nerve conduction study. An electrophysiological examination can be reproduced and is also a non-invasive approach in the assessment of peripheral nerve function. Population-based and clinical studies have been conducted to validate the sensitivity of these methods. When the diagnosis was based on clinical electrophysiological examination, abnormalities were observed in all patients. METHOD In this research, using a review design, we reviewed the issue of clinical electrophysiological examination of diabetic peripheral neuropathy in articles from 2008 to 2017. For this purpose, PubMed, Scopus and Embase databases of journals were used for searching articles. RESULTS/FINDINGS The researchers indicated that diabetes (both types) is a very disturbing health issue in the modern world and should be given serious attention. Based on conducted studies, it was demonstrated that there are different procedures for prevention and treatment of diabetes-related health problems such as diabetic polyneuropathy (DPN). The first objective quantitative indication of the peripheral neuropathy is abnormality of sensory and motor nerve conduction tests. Electrophysiology is accurate, reliable and sensitive. It can be reproduced and also is a noninvasive approach in the assessment of peripheral nerve function. CONCLUSION The methodological review has found that the best method for quantitative indication of the peripheral neuropathy compared with all other methods is clinical electrophysiological examination. For best results, standard protocols such as temperature control and equipment calibration are recommended.
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Affiliation(s)
- Dheyauldeen Shabeeb
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science, International Campus, Tehran, Iran; Department of Physiology, College of Medicine, University of Misan, Iraq; Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Science, Tehran, Iran
| | - Masoud Najafi
- Radiology and Nuclear Medicine Department, School of Paramedical Sciences, Kermanshah University of Medical Science, Kermanshah, Iran
| | - Gholamreza Hasanzadeh
- Department of Anatomy, School of Medicine, Tehran University of Medical Science, Tehran, Iran
| | - Mohammed Reza Hadian
- Brain and Spinal Injury Repair Research Center, Tehran University of Medical Science, Tehran, Iran
| | - Ahmed Eleojio Musa
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science, International Campus, Tehran, Iran; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Science, Tehran, Iran
| | - Alireza Shirazi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science, International Campus, Tehran, Iran; Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Science, Tehran, Iran.
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Steinmetz NA, Koch C, Harris KD, Carandini M. Challenges and opportunities for large-scale electrophysiology with Neuropixels probes. Curr Opin Neurobiol 2018; 50:92-100. [PMID: 29444488 PMCID: PMC5999351 DOI: 10.1016/j.conb.2018.01.009] [Citation(s) in RCA: 147] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 12/15/2017] [Accepted: 01/17/2018] [Indexed: 12/27/2022]
Abstract
Electrophysiological methods are the gold standard in neuroscience because they reveal the activity of individual neurons at high temporal resolution and in arbitrary brain locations. Microelectrode arrays based on complementary metal-oxide semiconductor (CMOS) technology, such as Neuropixels probes, look set to transform these methods. Neuropixels probes provide ∼1000 recording sites on an extremely narrow shank, with on-board amplification, digitization, and multiplexing. They deliver low-noise recordings from hundreds of neurons, providing a step change in the type of data available to neuroscientists. Here we discuss the opportunities afforded by these probes for large-scale electrophysiology, the challenges associated with data processing and anatomical localization, and avenues for further improvements of the technology.
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Affiliation(s)
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, WA, United States
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Ryan HA, Hirakawa S, Yang E, Zhou C, Xiao S. High-Voltage, Multiphasic, Nanosecond Pulses to Modulate Cellular Responses. IEEE Trans Biomed Circuits Syst 2018; 12:338-350. [PMID: 29570061 DOI: 10.1109/tbcas.2017.2786586] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Nanosecond electric pulses are an effective power source in plasma medicine and biological stimulation, in which biophysical responses are governed by peak power and not energy. While uniphasic nanosecond pulse generators are widely available, the recent discovery that biological effects can be uniquely modulated by reversing the polarity of nanosecond duration pulses calls for the development of a multimodal pulse generator. This paper describes a method to generate nanosecond multiphasic pulses for biomedical use, and specifically demonstrates its ability to cancel or enhance cell swelling and blebbing. The generator consists of a series of the fundamental module, which includes a capacitor and a MOSFET switch. A positive or a negative phase pulse module can be produced based on how the switch is connected. Stacking the modules in series can increase the voltage up to 5 kV. Multiple stacks in parallel can create multiphase outputs. As each stack is independently controlled and charged, multiphasic pulses can be created to produce flexible and versatile pulse waveforms. The circuit topology can be used for high-frequency uniphasic or biphasic nanosecond burst pulse production, creating numerous opportunities for the generator in electroporation applications, tissue ablation, wound healing, and nonthermal plasma generation.
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Rezaei M, Maghsoudloo E, Bories C, De Koninck Y, Gosselin B. A Low-Power Current-Reuse Analog Front-End for High-Density Neural Recording Implants. IEEE Trans Biomed Circuits Syst 2018; 12:271-280. [PMID: 29570055 DOI: 10.1109/tbcas.2018.2805278] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Studying brain activity in vivo requires collecting bioelectrical signals from several microelectrodes simultaneously in order to capture neuron interactions. In this work, we present a new current-reuse analog front-end (AFE), which is scalable to very large numbers of recording channels, thanks to its small implementation silicon area and its low-power consumption. This current-reuse AFE, which is including a low-noise amplifier (LNA) and a programmable gain amplifier (PGA), employs a new fully differential current-mirror topology using fewer transistors, and improving several design parameters, such as power consumption and noise, over previous current-reuse amplifier circuit implementations. We show that the proposed current-reuse amplifier can provide a theoretical noise efficiency factor (NEF) as low as 1.01, which is the lowest reported theoretical NEF provided by an LNA topology. A foue-channel current-reuse AFE implemented in a CMOS 0.18-μm technology is presented as a proof-of-concept. T-network capacitive circuits are used to decrease the size of input capacitors and to increase the gain accuracy in the AFE. The measured performance of the whole AFE is presented. The total power consumption per channel, including the LNA and the PGA stage, is 9 μW (4.5 μW for LNA and 4.5 μW for PGA), for an input referred noise of 3.2 μVrms, achieving a measured NEF of 1.94. The entire AFE presents three selectable gains of 35.04, 43.1, and 49.5 dB, and occupies a die area of 0.072 mm2 per channel. The implemented circuit has a measured inter-channel rejection ratio of 54 dB. In vivo recording results obtained with the proposed AFE are reported. It successfully allows collecting low-amplitude extracellular action potential signals from a tungsten wire microelectrode implanted in the hippocampus of a laboratory mouse.
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Yger P, Spampinato GLB, Esposito E, Lefebvre B, Deny S, Gardella C, Stimberg M, Jetter F, Zeck G, Picaud S, Duebel J, Marre O. A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo. eLife 2018; 7:e34518. [PMID: 29557782 PMCID: PMC5897014 DOI: 10.7554/elife.34518] [Citation(s) in RCA: 146] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 03/19/2018] [Indexed: 01/03/2023] Open
Abstract
In recent years, multielectrode arrays and large silicon probes have been developed to record simultaneously between hundreds and thousands of electrodes packed with a high density. However, they require novel methods to extract the spiking activity of large ensembles of neurons. Here, we developed a new toolbox to sort spikes from these large-scale extracellular data. To validate our method, we performed simultaneous extracellular and loose patch recordings in rodents to obtain 'ground truth' data, where the solution to this sorting problem is known for one cell. The performance of our algorithm was always close to the best expected performance, over a broad range of signal-to-noise ratios, in vitro and in vivo. The algorithm is entirely parallelized and has been successfully tested on recordings with up to 4225 electrodes. Our toolbox thus offers a generic solution to sort accurately spikes for up to thousands of electrodes.
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Affiliation(s)
- Pierre Yger
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | | | - Elric Esposito
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | | | - Stéphane Deny
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | - Christophe Gardella
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
- Laboratoire de Physique Statistique, CNRS, ENS, UPMC, 75005ParisFrance
| | - Marcel Stimberg
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | | | | | - Serge Picaud
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | - Jens Duebel
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
| | - Olivier Marre
- Institut de la Vision, INSERM UMRS 968, UPMC UM 80ParisFrance
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Abstract
Investigating mechanisms of general anesthesia requires access to multiple levels of neuronal function, from effects at individual synapses to responses in behaving animals. Drosophila melanogaster provides an excellent model to test different theories for general anesthesia because it offers robust methods for testing local as well as global target processes, in an animal that is similarly impacted by these diverse drugs as humans. Here, we outline methods to quantify two such endpoints, neurotransmission and behavioral responsiveness, focusing on the intravenous drug propofol.
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Affiliation(s)
- Shanker Karunanithi
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia; School of Medical Science and Menzies Health Institute Queensland, Griffith University Gold Coast Campus, Gold Coast, QLD, Australia
| | - Michael Troup
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Bruno van Swinderen
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia.
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41
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Choi G, Lee J, Kim H, Jang J, Im C, Jeon N, Jung W. Image-guided recording system for spatial and temporal mapping of neuronal activities in brain slice. J Biophotonics 2018; 11:e201700243. [PMID: 29215208 DOI: 10.1002/jbio.201700243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 11/10/2017] [Indexed: 06/07/2023]
Abstract
In this study, we introduce the novel image-guided recording system (IGRS) for efficient interpretation of neuronal activities in the brain slice. IGRS is designed to combine microelectrode array (MEA) and optical coherence tomography at the customized upright microscope. It allows to record multi-site neuronal signals and image of the volumetric brain anatomy in a single body configuration. For convenient interconnection between a brain image and neuronal signals, we developed the automatic mapping protocol that enables us to project acquired neuronal signals on a brain image. To evaluate the performance of IGRS, hippocampal signals of the brain slice were monitored, and corresponding with two-dimensional neuronal maps were successfully reconstructed. Our results indicated that IGRS and mapping protocol can provide the intuitive information regarding long-term and multi-sites neuronal signals. In particular, the temporal and spatial mapping capability of neuronal signals would be a very promising tool to observe and analyze the massive neuronal activity and connectivity in MEA-based electrophysiological studies.
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Affiliation(s)
- Geonho Choi
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Jeonghyeon Lee
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Hyeongeun Kim
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| | - Jaemyung Jang
- Department of Neural Development and Disease, Korea Brain Research Institute, Daegu, Republic of Korea
| | - Changkyun Im
- School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Republic of Korea
| | - Nooli Jeon
- School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Republic of Korea
| | - Woonggyu Jung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
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Wood RA, Bauza M, Krupic J, Burton S, Delekate A, Chan D, O'Keefe J. The honeycomb maze provides a novel test to study hippocampal-dependent spatial navigation. Nature 2018; 554:102-105. [PMID: 29364869 PMCID: PMC6342259 DOI: 10.1038/nature25433] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 12/04/2017] [Indexed: 12/20/2022]
Abstract
Here we describe the honeycomb maze, a behavioural paradigm for the study of spatial navigation in rats. The maze consists of 37 platforms that can be raised or lowered independently. Place navigation requires an animal to go to a goal platform from any of several start platforms via a series of sequential choices. For each, the animal is confined to a raised platform and allowed to choose between two of the six adjacent platforms, the correct one being the platform with the smallest angle to the goal-heading direction. Rats learn rapidly and their choices are influenced by three factors: the angle between the two choice platforms, the distance from the goal, and the angle between the correct platform and the direction of the goal. Rats with hippocampal damage are impaired in learning and their performance is affected by all three factors. The honeycomb maze represents a marked improvement over current spatial navigation tests, such as the Morris water maze, because it controls the choices of the animal at each point in the maze, provides the ability to assess knowledge of the goal direction from any location, enables the identification of factors influencing task performance and provides the possibility for concomitant single-cell recording.
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Affiliation(s)
- Ruth A Wood
- Sainsbury Wellcome Centre, UCL, London W1T 4JG, UK
| | - Marius Bauza
- Sainsbury Wellcome Centre, UCL, London W1T 4JG, UK
| | - Julija Krupic
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
- Cell & Developmental Biology, UCL, London WC1E 6BT, UK
| | | | - Andrea Delekate
- DZNE German Centre for Neurodegenerative Diseases, Bonn 53127, Germany
| | - Dennis Chan
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 2PY, UK
| | - John O'Keefe
- Sainsbury Wellcome Centre, UCL, London W1T 4JG, UK
- Cell & Developmental Biology, UCL, London WC1E 6BT, UK
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Iwata N, Fujimura T, Takai C, Odani K, Kawano S, Nakayama S. Dialysis membrane-enforced microelectrode array measurement of diverse gut electrical activity. Biosens Bioelectron 2017; 94:312-320. [PMID: 28319897 DOI: 10.1016/j.bios.2017.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 03/01/2017] [Accepted: 03/04/2017] [Indexed: 12/18/2022]
Abstract
A variety of electrical activities occur depending on the functional state in each section of the gut, but the application of microelectrode array (MEA) is rather limited. We thus developed a dialysis membranes-enforced technique to investigate diverse and complex spatio-temporal electrical activity in the gut. Muscle sheets isolated from the gastrointestinal (GI) tract of mice along with a piece of dialysis membrane were woven over and under the strings to fix them to the anchor rig, and mounted on an 8×8 MEA (inter-electrode distance=150µm). Small molecules (molecular weight <12,000) were exchanged through the membrane, maintaining a physiological environment. Low impedance MEA was used to measure electrical signals in a wide frequency range. We demonstrated the following examples: 1) pacemaker activity-like potentials accompanied by bursting spike-like potentials in the ileum; 2) electrotonic potentials reflecting local neurotransmission in the ileum; 3) myoelectric complex-like potentials consisting of slow and rapid oscillations accompanied by spike potentials in the colon. Despite their limited spatial resolution, these recordings detected transient electric activities that optical probes followed with difficulty. In Addition, propagation of pacemaker-like potential was visualized in the stomach and ileum. These results indicate that the dialysis membrane-enforced technique largely extends the application of MEA, probably due to stabilisation of the access resistance between each sensing electrode and a reference electrode and improvement of electric separation between sensing electrodes. We anticipate that this technique will be utilized to characterise spatio-temporal electrical activities in the gut in health and disease.
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Affiliation(s)
- Naoko Iwata
- Department of Cell Physiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Takumi Fujimura
- Department of Pediatric Surgery, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Chiho Takai
- Department of Cell Physiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Kei Odani
- Department of Cell Physiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Shin Kawano
- Department of Cell Physiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan
| | - Shinsuke Nakayama
- Department of Cell Physiology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.
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Haumesser JK, Kühn J, Güttler C, Nguyen DH, Beck MH, Kühn AA, van Riesen C. Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats. J Vis Exp 2017:55940. [PMID: 28671648 PMCID: PMC5608496 DOI: 10.3791/55940] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Converging evidence shows that many neuropsychiatric diseases should be understood as disorders of large-scale neuronal networks. To better understand the pathophysiological basis of these diseases, it is necessary to precisely characterize in which way the processing of information is disturbed between the different neuronal parts of the circuit. Using extracellular in vivo electrophysiological recordings, it is possible to accurately delineate neuronal activity within a neuronal network. The application of this method has several advantages over alternative techniques, e.g., functional magnetic resonance imaging and calcium imaging, as it allows a unique temporal and spatial resolution and does not rely on genetically engineered organisms. However, the use of extracellular in vivo recordings is limited since it is an invasive technique that cannot be universally applied. In this article, a simple and easy to use method is presented with which it is possible to simultaneously record extracellular potentials such as local field potentials and multiunit activity at multiple sites of a network. It is detailed how a precise targeting of subcortical nuclei can be achieved using a combination of stereotactic surgery and online analysis of multi-unit recordings. Thus, it is demonstrated, how a complete network such as the hyperdirect cortico-basal ganglia loop can be studied in anesthetized animals in vivo.
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Affiliation(s)
- Jens K Haumesser
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Johanna Kühn
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Christopher Güttler
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Dieu-Huong Nguyen
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Maximilian H Beck
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Andrea A Kühn
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin
| | - Christoph van Riesen
- Department of Neurology, Movement Disorder and Neuromodulation Unit Berlin, Charité University Medicine Berlin;
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Abstract
Soon after the glass micropipette was invented as a micro-tool for manipulation of single bacteria and the microinjection and microsurgery of living cells, it was seen to hold promise as a microelectrode to stimulate individual cells electrically and to study electrical potentials in them. Initial successes and accurate mechanistic explanations of the results were achieved in giant plant cells in the 1920s. Long known surface electrical activity in nerves and muscles was only resolved at a similar cellular level in the 1930s and 1940s after the discovery of giant nerve fibers and the development of finer tipped microelectrodes for normal-sized cells.
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Affiliation(s)
- Allan H Bretag
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia
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Mixia Wang, Shengwei Xu, Nansen Lin, Yilin Song, Song Zhang, Xinxia Cai. Research on neural information detecting system measuring neuroelectricity in hippocampus in vivo and dopamine in vitro based on microelectrode array. Annu Int Conf IEEE Eng Med Biol Soc 2016; 2016:4837-40. [PMID: 28269353 DOI: 10.1109/EMBC.2016.7591810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Concurrently detecting the electrical activity of neurons and neurotransmitter release signals, will have a great significance in understanding the working mechanism of the brain. This paper describes a neural information detecting system based on microelectrode array(MEA) measuring neuroelectricity in hippocampus in vivo and dopamine(DA) in vitro. The detecting system contains of electrophysiological headstage, electrochemical headstage, microprocessor, electrophysiological signal amplifier, data acquisition module and neural signal analysis software. In electrophysiological test, the neural information detecting system was applied to detect neuroelectricity in hippocampus of SD rat with 16-channel microelectrode array in vivo. Active potentials were captured. The amplitude of the recorded neural spikes reached 182.90 μV, and signal to noise ratio was 7:1. For measure dopamine as neurotransmitter, there was a good linear relationship between response current and concentration of dopamine from 10nM to 18.88μ with correlation coefficient of 0.9974. Electrophysiological experiment and electrochemical experiment demonstrate the capability of the neural information detecting system to capture dual mode neural signal, which provides a convenient way to study dual mode operating mechanism of neural system.
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Messier E. Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array. Annu Int Conf IEEE Eng Med Biol Soc 2017; 2016:3551-3554. [PMID: 28269065 DOI: 10.1109/embc.2016.7591495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A Multichannel Systems (MCS) microelectrode array data acquisition (DAQ) unit is used to collect multichannel electrograms (EGM) from a Langendorff perfused rabbit heart system to study sudden cardiac death (SCD). MCS provides software through which data being processed by the DAQ unit can be displayed and saved, but this software's combined utility with MATLAB is not very effective. MCSs software stores recorded EGM data in a MathCad (MCD) format, which is then converted to a text file format. These text files are very large, and it is therefore very time consuming to import the EGM data into MATLAB for real-time analysis. Therefore, customized MATLAB software was developed to control the acquisition of data from the MCS DAQ unit, and provide specific laboratory accommodations for this study of SCD. The developed DAQ unit control software will be able to accurately: provide real time display of EGM signals; record and save EGM signals in MATLAB in a desired format; and produce real time analysis of the EGM signals; all through an intuitive GUI.
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Rios G, Lubenov E, Chi D, Roukes ML, Siapas AG. Nanofabricated Neural Probes for Dense 3-D Recordings of Brain Activity. Nano Lett 2016; 16:6857-6862. [PMID: 27766885 PMCID: PMC5108031 DOI: 10.1021/acs.nanolett.6b02673] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 09/17/2016] [Indexed: 05/19/2023]
Abstract
Computations in brain circuits involve the coordinated activation of large populations of neurons distributed across brain areas. However, monitoring neuronal activity in the brain of intact animals with high temporal and spatial resolution has remained a technological challenge. Here we address this challenge by developing dense, three-dimensional (3-D) electrode arrays for electrophysiology. The 3-D arrays constitute the front-end of a modular and configurable system architecture that enables monitoring neuronal activity with unprecedented scale and resolution.
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Affiliation(s)
- Gustavo Rios
- Division of Biology and Biological
Engineering, Division of Engineering and Applied
Science, Division of Physics, Mathematics, and Astronomy, and Kavli Nanoscience Institute, California Institute of Technology, Pasadena, California 91125, United States
| | - Evgueniy
V. Lubenov
- Division of Biology and Biological
Engineering, Division of Engineering and Applied
Science, Division of Physics, Mathematics, and Astronomy, and Kavli Nanoscience Institute, California Institute of Technology, Pasadena, California 91125, United States
| | - Derrick Chi
- Division of Biology and Biological
Engineering, Division of Engineering and Applied
Science, Division of Physics, Mathematics, and Astronomy, and Kavli Nanoscience Institute, California Institute of Technology, Pasadena, California 91125, United States
| | - Michael L. Roukes
- Division of Biology and Biological
Engineering, Division of Engineering and Applied
Science, Division of Physics, Mathematics, and Astronomy, and Kavli Nanoscience Institute, California Institute of Technology, Pasadena, California 91125, United States
- E-mail:
| | - Athanassios G. Siapas
- Division of Biology and Biological
Engineering, Division of Engineering and Applied
Science, Division of Physics, Mathematics, and Astronomy, and Kavli Nanoscience Institute, California Institute of Technology, Pasadena, California 91125, United States
- E-mail:
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Food and Drug Administration, HHS. Medical Devices; Neurological Devices; Classification of the Evoked Photon Image Capture Device. Final order. Fed Regist 2016; 81:67154-5. [PMID: 27726321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The Food and Drug Administration (FDA) is classifying the Evoked Photon Image Capture Device into class I (general controls). The Agency is classifying the device into class I (general controls) in order to provide a reasonable assurance of safety and effectiveness of the device.
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Abstract
The purpose of this study was to examine the relationships between physical activity measured as pedometer steps and performance on three motor skill tests. A secondary purpose was to determine if middle school children are meeting the recommendation for the number of daily steps. A sample ( n = 217) of 6th, 7th and 8th grade students participated. Each subject wore a Digi-Walker pedometer for three consecutive days. Subjects additionally recorded their pedometer steps in two 45 min.-physical education classes. There were strong significant correlations between daily steps taken by boys and girls, pedometer steps during physical education class and the AAHPERD Passing Test and the Bass Stick Balance. Similar correlations were weaker for the Side-Step Agility Test. Multivariate analysis of variance was utilized to examine variability of the three skills test by sex and year in school. Differences between students in Grades 7 and 8 on the AAHPERD Passing Test were significant. In addition, significant differences between daily pedometer steps and steps during physical education between Grades 6 and 7 were observed. Boys and girls had similar means on the AAHPERD Passing Test and Bass Stick Balance Test, but not on the Side-Step Agility Test. Scores on the three movement skills tested in this study were not strongly related to physical activity of the entire sample. Steps taken by middle school children appear not to be related to these measures of motor skills.
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Affiliation(s)
- Julian A Reed
- Health and Exercise Science, Furman University, Greenville, SC 29613, USA.
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