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An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo.

Authors :
Sanchez-Aguilera, Alberto
Wheeler, Diek W.
Jurado-Parras, Teresa
Valero, Manuel
Nokia, Miriam S.
Cid, Elena
Fernandez-Lamo, Ivan
Sutton, Nate
García-Rincón, Daniel
de la Prida, Liset M.
Ascoli, Giorgio A.
Source :
PLoS Biology; 5/6/2021, Vol. 19 Issue 5, p1-28, 28p, 3 Color Photographs, 1 Diagram, 3 Charts, 2 Graphs
Publication Year :
2021

Abstract

Understanding brain operation demands linking basic behavioral traits to cell-type specific dynamics of different brain-wide subcircuits. This requires a system to classify the basic operational modes of neurons and circuits. Single-cell phenotyping of firing behavior during ongoing oscillations in vivo has provided a large body of evidence on entorhinal–hippocampal function, but data are dispersed and diverse. Here, we mined literature to search for information regarding the phase-timing dynamics of over 100 hippocampal/entorhinal neuron types defined in Hippocampome.org. We identified missing and unresolved pieces of knowledge (e.g., the preferred theta phase for a specific neuron type) and complemented the dataset with our own new data. By confronting the effect of brain state and recording methods, we highlight the equivalences and differences across conditions and offer a number of novel observations. We show how a heuristic approach based on oscillatory features of morphologically identified neurons can aid in classifying extracellular recordings of single cells and discuss future opportunities and challenges towards integrating single-cell phenotypes with circuit function. By integrating single-cell firing behavior during in vivo oscillations with morphological and molecular neuron classification in vitro, this study standardizes a framework for interpreting the functional roles of distinct circuit modules and ascribing extracellular recordings to identified neuron types. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15449173
Volume :
19
Issue :
5
Database :
Complementary Index
Journal :
PLoS Biology
Publication Type :
Academic Journal
Accession number :
150169266
Full Text :
https://doi.org/10.1371/journal.pbio.3001213