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A Single-Neuron: Current Trends and Future Prospects
The brain is an intricate network with complex organizational principles facilitating a concerted communication between single-neurons, distinct neuron populations, and remote brain areas. The communication, technically referred to as connectivity, between single-neurons, is the center of many inves...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349798/ https://www.ncbi.nlm.nih.gov/pubmed/32585883 http://dx.doi.org/10.3390/cells9061528 |
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author | Gupta, Pallavi Balasubramaniam, Nandhini Chang, Hwan-You Tseng, Fan-Gang Santra, Tuhin Subhra |
author_facet | Gupta, Pallavi Balasubramaniam, Nandhini Chang, Hwan-You Tseng, Fan-Gang Santra, Tuhin Subhra |
author_sort | Gupta, Pallavi |
collection | PubMed |
description | The brain is an intricate network with complex organizational principles facilitating a concerted communication between single-neurons, distinct neuron populations, and remote brain areas. The communication, technically referred to as connectivity, between single-neurons, is the center of many investigations aimed at elucidating pathophysiology, anatomical differences, and structural and functional features. In comparison with bulk analysis, single-neuron analysis can provide precise information about neurons or even sub-neuron level electrophysiology, anatomical differences, pathophysiology, structural and functional features, in addition to their communications with other neurons, and can promote essential information to understand the brain and its activity. This review highlights various single-neuron models and their behaviors, followed by different analysis methods. Again, to elucidate cellular dynamics in terms of electrophysiology at the single-neuron level, we emphasize in detail the role of single-neuron mapping and electrophysiological recording. We also elaborate on the recent development of single-neuron isolation, manipulation, and therapeutic progress using advanced micro/nanofluidic devices, as well as microinjection, electroporation, microelectrode array, optical transfection, optogenetic techniques. Further, the development in the field of artificial intelligence in relation to single-neurons is highlighted. The review concludes with between limitations and future prospects of single-neuron analyses. |
format | Online Article Text |
id | pubmed-7349798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73497982020-07-15 A Single-Neuron: Current Trends and Future Prospects Gupta, Pallavi Balasubramaniam, Nandhini Chang, Hwan-You Tseng, Fan-Gang Santra, Tuhin Subhra Cells Review The brain is an intricate network with complex organizational principles facilitating a concerted communication between single-neurons, distinct neuron populations, and remote brain areas. The communication, technically referred to as connectivity, between single-neurons, is the center of many investigations aimed at elucidating pathophysiology, anatomical differences, and structural and functional features. In comparison with bulk analysis, single-neuron analysis can provide precise information about neurons or even sub-neuron level electrophysiology, anatomical differences, pathophysiology, structural and functional features, in addition to their communications with other neurons, and can promote essential information to understand the brain and its activity. This review highlights various single-neuron models and their behaviors, followed by different analysis methods. Again, to elucidate cellular dynamics in terms of electrophysiology at the single-neuron level, we emphasize in detail the role of single-neuron mapping and electrophysiological recording. We also elaborate on the recent development of single-neuron isolation, manipulation, and therapeutic progress using advanced micro/nanofluidic devices, as well as microinjection, electroporation, microelectrode array, optical transfection, optogenetic techniques. Further, the development in the field of artificial intelligence in relation to single-neurons is highlighted. The review concludes with between limitations and future prospects of single-neuron analyses. MDPI 2020-06-23 /pmc/articles/PMC7349798/ /pubmed/32585883 http://dx.doi.org/10.3390/cells9061528 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gupta, Pallavi Balasubramaniam, Nandhini Chang, Hwan-You Tseng, Fan-Gang Santra, Tuhin Subhra A Single-Neuron: Current Trends and Future Prospects |
title | A Single-Neuron: Current Trends and Future Prospects |
title_full | A Single-Neuron: Current Trends and Future Prospects |
title_fullStr | A Single-Neuron: Current Trends and Future Prospects |
title_full_unstemmed | A Single-Neuron: Current Trends and Future Prospects |
title_short | A Single-Neuron: Current Trends and Future Prospects |
title_sort | single-neuron: current trends and future prospects |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349798/ https://www.ncbi.nlm.nih.gov/pubmed/32585883 http://dx.doi.org/10.3390/cells9061528 |
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