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Interfacing Neurons with Nanostructured Electrodes Modulates Synaptic Circuit Features.
- Source :
-
Advanced biosystems [Adv Biosyst] 2020 Sep; Vol. 4 (9), pp. e2000117. Date of Electronic Publication: 2020 Aug 06. - Publication Year :
- 2020
-
Abstract
- Understanding neural physiopathology requires advances in nanotechnology-based interfaces, engineered to monitor the functional state of mammalian nervous cells. Such interfaces typically contain nanometer-size features for stimulation and recording as in cell-non-invasive extracellular microelectrode arrays. In such devices, it turns crucial to understand specific interactions of neural cells with physicochemical features of electrodes, which could be designed to optimize performance. Herein, versatile flexible nanostructured electrodes covered by arrays of metallic nanowires are fabricated and used to investigate the role of chemical composition and nanotopography on rat brain cells in vitro. By using Au and Ni as exemplary materials, nanostructure and chemical composition are demonstrated to play major roles in the interaction of neural cells with electrodes. Nanostructured devices are interfaced to rat embryonic cortical cells and postnatal hippocampal neurons forming synaptic circuits. It is shown that Au-based electrodes behave similarly to controls. Contrarily, Ni-based nanostructured electrodes increase cell survival, boost neuronal differentiation, and reduce glial cells with respect to flat counterparts. Nonetheless, Au-based electrodes perform superiorly compared to Ni-based ones. Under electrical stimulation, Au-based nanostructured substrates evoke intracellular calcium dynamics compatible with neural networks activation. These studies highlight the opportunity for these electrodes to excite a silent neural network by direct neuronal membranes depolarization.<br /> (© 2020 The Authors. Published by Wiley-VCH GmbH.)
Details
- Language :
- English
- ISSN :
- 2366-7478
- Volume :
- 4
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Advanced biosystems
- Publication Type :
- Academic Journal
- Accession number :
- 32761896
- Full Text :
- https://doi.org/10.1002/adbi.202000117