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Leva F, Palestri P, Selmi L. Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210013. [PMID: 35658681 DOI: 10.1098/rsta.2021.0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 10/14/2021] [Indexed: 06/15/2023]
Abstract
Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semiconductor (CMOS). Models of the transduction mechanisms involved in the sensor and recording of the neuron activity are useful to optimize the sensing device architecture and its coupling to the readout circuits, as well as to interpret the measured data. Starting with an overview of recently published integrated active and passive micro/nanoelectrode sensing devices for in vitro studies fabricated with modern (CMOS-based) micro-nano technology, this paper presents a mixed-mode device-circuit numerical-analytical multiscale and multiphysics simulation methodology to describe the neuron-sensor coupling, suitable to derive useful design guidelines. A few representative structures and coupling conditions are analysed in more detail in terms of the most relevant electrical figures of merit including signal-to-noise ratio. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.
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Affiliation(s)
- Federico Leva
- Dipartimento di ingegneria Enzo Ferrari, University of Modena and Reggio Emilia, Modena, Italy
| | - Pierpaolo Palestri
- Polytechnical Department of Engineering and Architecture, University of Udine, Udine, Italy
| | - Luca Selmi
- Dipartimento di ingegneria Enzo Ferrari, University of Modena and Reggio Emilia, Modena, Italy
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Sharon A, Shmoel N, Erez H, Jankowski MM, Friedmann Y, Spira ME. Ultrastructural Analysis of Neuroimplant-Parenchyma Interfaces Uncover Remarkable Neuroregeneration Along-With Barriers That Limit the Implant Electrophysiological Functions. Front Neurosci 2021; 15:764448. [PMID: 34880722 PMCID: PMC8645653 DOI: 10.3389/fnins.2021.764448] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/21/2021] [Indexed: 12/13/2022] Open
Abstract
Despite increasing use of in vivo multielectrode array (MEA) implants for basic research and medical applications, the critical structural interfaces formed between the implants and the brain parenchyma, remain elusive. Prevailing view assumes that formation of multicellular inflammatory encapsulating-scar around the implants [the foreign body response (FBR)] degrades the implant electrophysiological functions. Using gold mushroom shaped microelectrodes (gMμEs) based perforated polyimide MEA platforms (PPMPs) that in contrast to standard probes can be thin sectioned along with the interfacing parenchyma; we examined here for the first time the interfaces formed between brains parenchyma and implanted 3D vertical microelectrode platforms at the ultrastructural level. Our study demonstrates remarkable regenerative processes including neuritogenesis, axon myelination, synapse formation and capillaries regrowth in contact and around the implant. In parallel, we document that individual microglia adhere tightly and engulf the gMμEs. Modeling of the formed microglia-electrode junctions suggest that this configuration suffice to account for the low and deteriorating recording qualities of in vivo MEA implants. These observations help define the anticipated hurdles to adapting the advantageous 3D in vitro vertical-electrode technologies to in vivo settings, and suggest that improving the recording qualities and durability of planar or 3D in vivo electrode implants will require developing approaches to eliminate the insulating microglia junctions.
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Affiliation(s)
- Aviv Sharon
- Department of Neurobiology, The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel
- The Charles E. Smith Family and Prof. Joel Elkes Laboratory for Collaborative Research in Psychobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nava Shmoel
- Department of Neurobiology, The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel
- The Harvey M. Kruger Family Center for Nanoscience, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hadas Erez
- Department of Neurobiology, The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel
- The Charles E. Smith Family and Prof. Joel Elkes Laboratory for Collaborative Research in Psychobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Maciej M. Jankowski
- The Charles E. Smith Family and Prof. Joel Elkes Laboratory for Collaborative Research in Psychobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yael Friedmann
- Bio-Imaging Unit, The Alexander Silberman Institute of Life Science the Hebrew University of Jerusalem, Jerusalem, Israel
| | - Micha E. Spira
- Department of Neurobiology, The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel
- The Charles E. Smith Family and Prof. Joel Elkes Laboratory for Collaborative Research in Psychobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
- The Harvey M. Kruger Family Center for Nanoscience, The Hebrew University of Jerusalem, Jerusalem, Israel
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Bisquert J. A Frequency Domain Analysis of the Excitability and Bifurcations of the FitzHugh-Nagumo Neuron Model. J Phys Chem Lett 2021; 12:11005-11013. [PMID: 34739252 PMCID: PMC8709542 DOI: 10.1021/acs.jpclett.1c03406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The dynamics of neurons consist of oscillating patterns of a membrane potential that underpin the operation of biological intelligence. The FitzHugh-Nagumo (FHN) model for neuron excitability generates rich dynamical regimes with a simpler mathematical structure than the Hodgkin-Huxley model. Because neurons can be understood in terms of electrical and electrochemical methods, here we apply the analysis of the impedance response to obtain the characteristic spectra and their evolution as a function of applied voltage. We convert the two nonlinear differential equations of FHN into an equivalent circuit model, classify the different impedance spectra, and calculate the corresponding trajectories in the phase plane of the variables. In analogy to the field of electrochemical oscillators, impedance spectroscopy detects the Hopf bifurcations and the spiking regimes. We show that a neuron element needs three essential internal components: capacitor, inductor, and negative differential resistance. The method supports the fabrication of memristor-based artificial neural networks.
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Mariano A, Lubrano C, Bruno U, Ausilio C, Dinger NB, Santoro F. Advances in Cell-Conductive Polymer Biointerfaces and Role of the Plasma Membrane. Chem Rev 2021; 122:4552-4580. [PMID: 34582168 PMCID: PMC8874911 DOI: 10.1021/acs.chemrev.1c00363] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
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The plasma membrane
(PM) is often described as a wall, a physical
barrier separating the cell cytoplasm from the extracellular matrix
(ECM). Yet, this wall is a highly dynamic structure that can stretch,
bend, and bud, allowing cells to respond and adapt to their surrounding
environment. Inspired by shapes and geometries found in the biological
world and exploiting the intrinsic properties of conductive polymers
(CPs), several biomimetic strategies based on substrate dimensionality
have been tailored in order to optimize the cell–chip coupling.
Furthermore, device biofunctionalization through the use of ECM proteins
or lipid bilayers have proven successful approaches to further maximize
interfacial interactions. As the bio-electronic field aims at narrowing
the gap between the electronic and the biological world, the possibility
of effectively disguising conductive materials to “trick”
cells to recognize artificial devices as part of their biological
environment is a promising approach on the road to the seamless platform
integration with cells.
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Affiliation(s)
- Anna Mariano
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
| | - Claudia Lubrano
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Ugo Bruno
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Chiara Ausilio
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
| | - Nikita Bhupesh Dinger
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy.,Dipartimento di Chimica, Materiali e Produzione Industriale, Università di Napoli Federico II, 80125 Naples, Italy
| | - Francesca Santoro
- Tissue Electronics, Istituto Italiano di Tecnologia, 80125 Naples, Italy
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Gao J, Liao C, Liu S, Xia T, Jiang G. Nanotechnology: new opportunities for the development of patch-clamps. J Nanobiotechnology 2021; 19:97. [PMID: 33794903 PMCID: PMC8017657 DOI: 10.1186/s12951-021-00841-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 03/23/2021] [Indexed: 12/29/2022] Open
Abstract
The patch-clamp technique is one of the best approaches to investigate neural excitability. Impressive improvements towards the automation of the patch-clamp technique have been made, but obvious limitations and hurdles still exist, such as parallelization, volume displacement in vivo, and long-term recording. Nanotechnologies have provided opportunities to overcome these hurdles by applying electrical devices on the nanoscale. Electrodes based on nanowires, nanotubes, and nanoscale field-effect transistors (FETs) are confirmed to be robust and less invasive tools for intracellular electrophysiological recording. Research on the interface between the nanoelectrode and cell membrane aims to reduce the seal conductance and further improve the recording quality. Many novel recording approaches advance the parallelization, and precision with reduced invasiveness, thus improving the overall intracellular recording system. The combination of nanotechnology and the present intracellular recording framework is a revolutionary and promising orientation, potentially becoming the next generation electrophysiological recording technique and replacing the conventional patch-clamp technique. Here, this paper reviews the recent advances in intracellular electrophysiological recording techniques using nanotechnology, focusing on the design of noninvasive and greatly parallelized recording systems based on nanoelectronics.
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Affiliation(s)
- Jia Gao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chunyang Liao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. .,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Sijin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tian Xia
- Division of NanoMedicine, Department of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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Bestel R, van Rienen U, Thielemann C, Appali R. Influence of Neuronal Morphology on the Shape of Extracellular Recordings With Microelectrode Arrays: A Finite Element Analysis. IEEE Trans Biomed Eng 2021; 68:1317-1329. [PMID: 32970592 DOI: 10.1109/tbme.2020.3026635] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Measuring neuronal cell activity using microelectrode arrays reveals a great variety of derived signal shapes within extracellular recordings. However, possible mechanisms responsible for this variety have not yet been entirely determined, which might hamper any subsequent analysis of the recorded neuronal data. METHODS To investigate this issue, we propose a computational model based on the finite element method describing the electrical coupling between an electrically active neuron and an extracellular recording electrode in detail. This allows for a systematic study of possible parameters that may play an essential role in defining or altering the shape of the measured electrode potential. RESULTS Our results indicate that neuronal geometry, neurite structure, as well as the actual pathways of input potentials that evoke action potential generation, have a significant impact on the shape of the resulting extracellular electrode recording and explain most of the known variations of signal shapes. CONCLUSION The presented models offer a comprehensive insight into the effect of geometrical and morphological factors on the resulting electrode signal. SIGNIFICANCE Computational modeling complemented with experimental measurements shows much promise to yield meaningful insights into the electrical activity of a neuronal network.
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Spanu A, Colistra N, Farisello P, Friz A, Arellano N, Rettner CT, Bonfiglio A, Bozano L, Martinoia S. A three-dimensional micro-electrode array for in-vitro neuronal interfacing. J Neural Eng 2020; 17:036033. [DOI: 10.1088/1741-2552/ab9844] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Yoon J, Joo Y, Oh E, Lee B, Kim D, Lee S, Kim T, Byun J, Hong Y. Soft Modular Electronic Blocks (SMEBs): A Strategy for Tailored Wearable Health-Monitoring Systems. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1801682. [PMID: 30886798 PMCID: PMC6402283 DOI: 10.1002/advs.201801682] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 11/15/2018] [Indexed: 05/09/2023]
Abstract
Precise monitoring of human body signals can be achieved by soft, conformal contact and precise arrangement of wearable devices to the desired body positions. So far, no design and fabrication methodology in soft wearable devices is able to address the variations in the form factor of the human body such as the various sizes and shapes of individual body parts, which can significantly cause misalignments and the corresponding inaccurate monitoring. Here, a concept of soft modular electronic blocks (SMEBs) enabling the assembly of soft wearable systems onto human skin with functions and layouts tailored to the form factors of individuals' bodies is presented. Three types of SMEBs are developed as fundamental building blocks for functional modularization. The physical design of SMEBs is optimized for a mechanically stable island-bridge configuration. The prepared SMEBs can be integrated onto a target body part through rapid, room-temperature (RT) assembly (<5 s) using an oxygen plasma-induced siloxane bonding method. A soft metacarpophalangeal (MP) joints flexion monitoring system that is tailored to allow for accurate monitoring for multiple individuals with unique joint and hand sizes is demonstrated.
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Affiliation(s)
- Jaeyoung Yoon
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Yunsik Joo
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Eunho Oh
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Byeongmoon Lee
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Daesik Kim
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Seunghwan Lee
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Taehoon Kim
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Junghwan Byun
- Department of Mechanical and Aerospace EngineeringInstitute of Advanced Machines and Design (IAMD)Soft Robotics Research Center (SRRC)Seoul National UniversitySeoul08826Republic of Korea
| | - Yongtaek Hong
- Department of Electrical and Computer EngineeringInter University Semiconductor Research Center (ISRC)Seoul National UniversitySeoul08826Republic of Korea
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10
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Pennacchio FA, Garma LD, Matino L, Santoro F. Bioelectronics goes 3D: new trends in cell–chip interface engineering. J Mater Chem B 2018; 6:7096-7101. [DOI: 10.1039/c8tb01737a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Bioelectronic platforms can be used for electrophysiology, monitoring and stimulating specific cellular functions.
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Affiliation(s)
- F. A. Pennacchio
- Center for Advanced Biomaterials for Healthcare
- Istituto Italiano di Tecnologia
- Naples
- Italy
| | - L. D. Garma
- Center for Advanced Biomaterials for Healthcare
- Istituto Italiano di Tecnologia
- Naples
- Italy
| | - L. Matino
- Center for Advanced Biomaterials for Healthcare
- Istituto Italiano di Tecnologia
- Naples
- Italy
| | - F. Santoro
- Center for Advanced Biomaterials for Healthcare
- Istituto Italiano di Tecnologia
- Naples
- Italy
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