A1 Journal article (refereed)
An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo (2021)


Sanchez-Aguilera, A., Wheeler, D. W., Jurado-Parras, T., Valero, M., Nokia, M. S., Cid, E., Fernandez-Lamo, I., Sutton, N., García-Rincón, D., de la Prida, L. M., & Ascoli, G. A. (2021). An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo. PLoS Biology, 19(5), Article e3001213. https://doi.org/10.1371/journal.pbio.3001213


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Publication details

All authors or editorsSanchez-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.; et al.

Journal or seriesPLoS Biology

ISSN1544-9173

eISSN1545-7885

Publication year2021

Publication date06/05/2021

Volume19

Issue number5

Article numbere3001213

PublisherPublic Library of Science (PLoS)

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1371/journal.pbio.3001213

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/75734


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.


Keywordshippocampusneuronsphenotypeneural networks (biology)in vivo method


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Ministry reportingYes

Reporting Year2021

JUFO rating3


Last updated on 2024-22-04 at 15:31