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Cunha AB, Schuelke C, Mesri A, Ruud SK, Aizenshtadt A, Ferrari G, Heiskanen A, Asif A, Keller SS, Ramos-Moreno T, Kalvøy H, Martínez-Serrano A, Krauss S, Emnéus J, Sampietro M, Martinsen ØG. Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant. SENSORS (BASEL, SWITZERLAND) 2024; 24:575. [PMID: 38257668 DOI: 10.3390/s24020575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and survival, demanding the need to better understand these mechanisms while providing precise and scalable approaches to monitor these cell-based therapies in both pre-clinical and clinical scenarios. This poses significant multidisciplinary challenges regarding planning, defining the methodology and requirements, prototyping and different stages of testing. Aiming toward an optogenetic neural stem cell implant controlled by a smart wireless electronic frontend, we show how an iterative development methodology coupled with a modular design philosophy can mitigate some of these challenges. In this study, we present a miniaturized, wireless-controlled, modular multisensor platform with fully interfaced electronics featuring three different modules: an impedance analyzer, a potentiostat and an optical stimulator. We show the application of the platform for electrical impedance spectroscopy-based cell monitoring, optical stimulation to induce dopamine release from optogenetically modified neurons and a potentiostat for cyclic voltammetry and amperometric detection of dopamine release. The multisensor platform is designed to be used as an opto-electric headstage for future in vivo animal experiments.
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Affiliation(s)
- André B Cunha
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
| | - Christin Schuelke
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway
| | - Alireza Mesri
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Simen K Ruud
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
| | - Aleksandra Aizenshtadt
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway
| | - Giorgio Ferrari
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Arto Heiskanen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Afia Asif
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Stephan S Keller
- National Centre for Nano Fabrication and Characterization, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Tania Ramos-Moreno
- Lund Stem Cell Center, Division of Neurosurgery, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22184 Lund, Sweden
| | - Håvard Kalvøy
- Department of Clinical and Biomedical Engineering, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Alberto Martínez-Serrano
- Department of Molecular Neurobiology, Center of Molecular Biology 'Severo Ochoa', Universidad Autónoma de Madrid, Calle Nicolás Cabrera 1, 28049 Madrid, Spain
| | - Stefan Krauss
- Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, P.O. Box 4950, 0424 Oslo, Norway
| | - Jenny Emnéus
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Marco Sampietro
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Ørjan G Martinsen
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
- Department of Clinical and Biomedical Engineering, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
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Assessment of optogenetically-driven strategies for prosthetic restoration of cortical vision in large-scale neural simulation of V1. Sci Rep 2021; 11:10783. [PMID: 34031442 PMCID: PMC8144184 DOI: 10.1038/s41598-021-88960-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 04/01/2021] [Indexed: 02/04/2023] Open
Abstract
The neural encoding of visual features in primary visual cortex (V1) is well understood, with strong correlates to low-level perception, making V1 a strong candidate for vision restoration through neuroprosthetics. However, the functional relevance of neural dynamics evoked through external stimulation directly imposed at the cortical level is poorly understood. Furthermore, protocols for designing cortical stimulation patterns that would induce a naturalistic perception of the encoded stimuli have not yet been established. Here, we demonstrate a proof of concept by solving these issues through a computational model, combining (1) a large-scale spiking neural network model of cat V1 and (2) a virtual prosthetic system transcoding the visual input into tailored light-stimulation patterns which drive in situ the optogenetically modified cortical tissue. Using such virtual experiments, we design a protocol for translating simple Fourier contrasted stimuli (gratings) into activation patterns of the optogenetic matrix stimulator. We then quantify the relationship between spatial configuration of the imposed light pattern and the induced cortical activity. Our simulations in the absence of visual drive (simulated blindness) show that optogenetic stimulation with a spatial resolution as low as 100 [Formula: see text]m, and light intensity as weak as [Formula: see text] photons/s/cm[Formula: see text] is sufficient to evoke activity patterns in V1 close to those evoked by normal vision.
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