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dc.contributor.authorSanchez-Aguilera, Alberto
dc.contributor.authorWheeler, Diek W.
dc.contributor.authorJurado-Parras, Teresa
dc.contributor.authorValero, Manuel
dc.contributor.authorNokia, Miriam S.
dc.contributor.authorCid, Elena
dc.contributor.authorFernandez-Lamo, Ivan
dc.contributor.authorSutton, Nate
dc.contributor.authorGarcía-Rincón, Daniel
dc.contributor.authorde la Prida, Liset M.
dc.contributor.authorAscoli, Giorgio A.
dc.date.accessioned2021-05-18T10:58:31Z
dc.date.available2021-05-18T10:58:31Z
dc.date.issued2021
dc.identifier.citationSanchez-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. <i>PLoS Biology</i>, <i>19</i>(5), Article e3001213. <a href="https://doi.org/10.1371/journal.pbio.3001213" target="_blank">https://doi.org/10.1371/journal.pbio.3001213</a>
dc.identifier.otherCONVID_83398645
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/75734
dc.description.abstractUnderstanding 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.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.ispartofseriesPLoS Biology
dc.rightsCC BY 4.0
dc.titleAn update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202105183000
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineAivojen muutokset elinkaaren aikanafi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.contributor.oppiaineBrain changes across the life-spanen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1544-9173
dc.relation.numberinseries5
dc.relation.volume19
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 Sanchez-Aguilera et al.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber313334
dc.relation.grantnumber275954
dc.subject.ysohermosolut
dc.subject.ysoin vivo -menetelmä
dc.subject.ysofenotyyppi
dc.subject.ysohippokampus
dc.subject.ysohermoverkot (biologia)
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p18309
jyx.subject.urihttp://www.yso.fi/onto/yso/p21040
jyx.subject.urihttp://www.yso.fi/onto/yso/p13074
jyx.subject.urihttp://www.yso.fi/onto/yso/p21117
jyx.subject.urihttp://www.yso.fi/onto/yso/p38811
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1371/journal.pbio.3001213
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch costs of Academy Research Fellow, AoFen
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramAkatemiatutkijan tutkimuskulut, SAfi
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundinginformationThe authors received funding from the following sources: 1: National Institutes of Health (https://www.nih.gov/grants-funding) (R01NS39600 and U01MH114829) [GAA] 2: Spanish Ministerio de Economía y Competitividad (MINECO) (https://portal.mineco.gob.es/en-us/Pages/default.aspx) (RTI2018-098581-B-I00 and FJCI-2017-32719) [LMP and ASA] 3: Academy of Finland (https://www.aka.fi/en/) (grant nr. 275954) [MSN] 4: European Molecular Biology Organization (https://www.embo.org/funding-awards/fellowships) (EMBO ALTF 1161-2017) [MV] 5: Human Frontiers Science Program (https://www.hfsp.org/funding/hfsp-funding/) (LT0000717/2018) [MV] The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.type.okmA1


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