Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/136234
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dc.creatorGulino, M
dc.creatorKim, D
dc.creatorPané, S
dc.creatorSantos, SD
dc.creatorPêgo, AP
dc.date.accessioned2021-09-20T10:52:13Z-
dc.date.available2021-09-20T10:52:13Z-
dc.date.issued2019
dc.identifier.issn1662-4548
dc.identifier.urihttps://hdl.handle.net/10216/136234-
dc.description.abstractThe development of implantable neuroelectrodes is advancing rapidly as these tools are becoming increasingly ubiquitous in clinical practice, especially for the treatment of traumatic and neurodegenerative disorders. Electrodes have been exploited in a wide number of neural interface devices, such as deep brain stimulation, which is one of the most successful therapies with proven efficacy in the treatment of diseases like Parkinson or epilepsy. However, one of the main caveats related to the clinical application of electrodes is the nervous tissue response at the injury site, characterized by a cascade of inflammatory events, which culminate in chronic inflammation, and, in turn, result in the failure of the implant over extended periods of time. To overcome current limitations of the most widespread macroelectrode based systems, new design strategies and the development of innovative materials with superior biocompatibility characteristics are currently being investigated. This review describes the current state of the art of in vitro, ex vivo, and in vivo models available for the study of neural tissue response to implantable microelectrodes. We particularly highlight new models with increased complexity that closely mimic in vivo scenarios and that can serve as promising alternatives to animal studies for investigation of microelectrodes in neural tissues. Additionally, we also express our view on the impact of the progress in the field of neural tissue engineering on neural implant research.
dc.description.sponsorshipThis work was financially supported by the Projects NORTE-01-0145-FEDER-000008 and NORTE-01-0145-FEDER-000012, supported by the Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF) and FEDER - Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 – Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT/MCTES in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274). SP acknowledges funding from a Consolidator Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 771565). MG and DK acknowledge their Ph.D. grants in the framework of the project mCBEEs funded by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 764977. SS would like to acknowledge national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., provided by the contract program and according to numbers 4, 5, and 6 of art. 23 of Law No. 57/2016 of 29th August, as amended by Law No. 57/2017 of 19th July. AP and SP would like to acknowledge the contribution of the COST Action CA16122.
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.ispartofFrontiers in Neuroscience, vol.13:689
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbrain slice cultures
dc.subjectdeep brain stimulation
dc.subjectforeign body reaction
dc.subjectmicroelectrodes
dc.subjectneural tissue engineering
dc.subjectneural tissue response
dc.titleTissue response to neural implants: The use of model systems toward new design solutions of implantable microelectrodes
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoInstituto de Investigação e Inovação em Saúde
dc.identifier.doi10.3389/fnins.2019.00689
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fnins.2019.00689/full
Appears in Collections:I3S - Artigo em Revista Científica Internacional

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