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Abu Shihada J, Jung M, Decke S, Koschinski L, Musall S, Rincón Montes V, Offenhäusser A. Highly Customizable 3D Microelectrode Arrays for In Vitro and In Vivo Neuronal Tissue Recordings. Adv Sci (Weinh) 2024; 11:e2305944. [PMID: 38240370 PMCID: PMC10987114 DOI: 10.1002/advs.202305944] [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] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/05/2023] [Indexed: 02/16/2024]
Abstract
Planar microelectrode arrays (MEAs) for - in vitro or in vivo - neuronal signal recordings lack the spatial resolution and sufficient signal-to-noise ratio (SNR) required for a detailed understanding of neural network function and synaptic plasticity. To overcome these limitations, a highly customizable three-dimensional (3D) printing process is used in combination with thin film technology and a self-aligned template-assisted electrochemical deposition process to fabricate 3D-printed-based MEAs on stiff or flexible substrates. Devices with design flexibility and physical robustness are shown for recording neural activity in different in vitro and in vivo applications, achieving high-aspect ratio 3D microelectrodes of up to 33:1. Here, MEAs successfully record neural activity in 3D neuronal cultures, retinal explants, and the cortex of living mice, thereby demonstrating the versatility of the 3D MEA while maintaining high-quality neural recordings. Customizable 3D MEAs provide unique opportunities to study neural activity under regular or various pathological conditions, both in vitro and in vivo, and contribute to the development of drug screening and neuromodulation systems that can accurately monitor the activity of large neural networks over time.
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Affiliation(s)
- J. Abu Shihada
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
| | - M. Jung
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
| | - S. Decke
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
| | - L. Koschinski
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
- Helmholtz Nano Facility (HNF)Forschungszentrum Jülich52428JülichGermany
| | - S. Musall
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
- RWTH Aachen University52062AachenGermany
- Faculty of MedicineInstitute of Experimental Epileptology and Cognition ResearchUniversity of Bonn53127BonnGermany
- University Hospital Bonn53127BonnGermany
| | - V. Rincón Montes
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
| | - A. Offenhäusser
- Institute of Biological Information Processing (IBI‐3) – BioelectronicsForschungszentrum52428JülichGermany
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Wahl AS, Büchler U, Brändli A, Brattoli B, Musall S, Kasper H, Ineichen BV, Helmchen F, Ommer B, Schwab ME. Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation. Nat Commun 2017; 8:1187. [PMID: 29084962 PMCID: PMC5662731 DOI: 10.1038/s41467-017-01090-6] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 08/17/2017] [Indexed: 11/18/2022] Open
Abstract
Current neuromodulatory strategies to enhance motor recovery after stroke often target large brain areas non-specifically and without sufficient understanding of their interaction with internal repair mechanisms. Here we developed a novel therapeutic approach by specifically activating corticospinal circuitry using optogenetics after large strokes in rats. Similar to a neuronal growth-promoting immunotherapy, optogenetic stimulation together with intense, scheduled rehabilitation leads to the restoration of lost movement patterns rather than induced compensatory actions, as revealed by a computer vision-based automatic behavior analysis. Optogenetically activated corticospinal neurons promote axonal sprouting from the intact to the denervated cervical hemi-cord. Conversely, optogenetically silencing subsets of corticospinal neurons in recovered animals, results in mistargeting of the restored grasping function, thus identifying the reestablishment of specific and anatomically localized cortical microcircuits. These results provide a conceptual framework to improve established clinical techniques such as transcranial magnetic or transcranial direct current stimulation in stroke patients. Existing methods to improve motor function after stroke include non-specific neuromodulatory approaches. Here the authors use an automated method of analysis of reaching behaviour in rodents to show that optogenetic stimulation of intact corticospinal tract fibres leads to restoration of prior motor functions, rather than compensatory acquisition of new movements.
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Affiliation(s)
- A S Wahl
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland. .,Department of Health Sciences and Technology, ETH Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland. .,Central Institute of Mental Health, University of Heidelberg, J5, 68159, Mannheim, Germany.
| | - U Büchler
- Computer Vision Group, Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Mathematikon (INF 205), 69120, Heidelberg, Germany
| | - A Brändli
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland.,Department of Health Sciences and Technology, ETH Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
| | - B Brattoli
- Computer Vision Group, Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Mathematikon (INF 205), 69120, Heidelberg, Germany
| | - S Musall
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
| | - H Kasper
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
| | - B V Ineichen
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland.,Department of Health Sciences and Technology, ETH Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
| | - F Helmchen
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland
| | - B Ommer
- Computer Vision Group, Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Mathematikon (INF 205), 69120, Heidelberg, Germany
| | - M E Schwab
- Brain Research Institute, University of Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland. .,Department of Health Sciences and Technology, ETH Zurich, Winterthurerstr. 190, 8057, Zurich, Switzerland.
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