A Single-Neuron: Current Trends and Future Prospects.
artificial intelligence
electrophysiological recording
isolation
mapping
micro/nanofluidic devices
microelectrode array
single-neuron models
therapy
transfection
Journal
Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052
Informations de publication
Date de publication:
23 06 2020
23 06 2020
Historique:
received:
29
04
2020
revised:
15
06
2020
accepted:
19
06
2020
entrez:
27
6
2020
pubmed:
27
6
2020
medline:
9
3
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32585883
pii: cells9061528
doi: 10.3390/cells9061528
pmc: PMC7349798
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : DBT-Wellcome Trust India Alliance
ID : IA/E/16/1/503062
Pays : India
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