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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...

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Autores principales: Gupta, Pallavi, Balasubramaniam, Nandhini, Chang, Hwan-You, Tseng, Fan-Gang, Santra, Tuhin Subhra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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