In silico Hierarchical Clustering of Neuronal Populations in the Rat Ventral Tegmental Area Based on Extracellular Electrophysiological Properties
| dc.rights.license | open | en_US |
| hal.structure.identifier | Nutrition et Neurobiologie intégrée [NutriNeuro] | |
| dc.contributor.author | DI MICELI, Mathieu | |
| hal.structure.identifier | Nutrition et Neurobiologie intégrée [NutriNeuro] | |
| dc.contributor.author | HUSSON, Zoe | |
| dc.contributor.author | RUEL, Philippe | |
| hal.structure.identifier | Nutrition et Neurobiologie intégrée [NutriNeuro] | |
| dc.contributor.author | LAYE, Sophie
ORCID: 0000-0002-3843-1012 IDREF: 11366883X | |
| dc.contributor.author | COTA, Daniela | |
| hal.structure.identifier | Nutrition et Neurobiologie intégrée [NutriNeuro] | |
| dc.contributor.author | FIORAMONTI, Xavier | |
| hal.structure.identifier | Nutrition et Neurobiologie intégrée [NutriNeuro] | |
| dc.contributor.author | BOSCH BOUJU, Clementine
ORCID: 0000-0001-8869-768X IDREF: 156530244 | |
| dc.contributor.author | GRONIER, Benjamin | |
| dc.date.accessioned | 2021-08-27T08:01:47Z | |
| dc.date.available | 2021-08-27T08:01:47Z | |
| dc.date.issued | 2020-08-13 | |
| dc.identifier.issn | 1662-5110 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/110226 | |
| dc.description.abstractEn | The ventral tegmental area (VTA) is a heterogeneous brain region, containing different neuronal populations. During in vivo recordings, electrophysiological characteristics are classically used to distinguish the different populations. However, the VTA is also considered as a region harboring neurons with heterogeneous properties. In the present study, we aimed to classify VTA neurons using in silico approaches, in an attempt to determine if homogeneous populations could be extracted. Thus, we recorded 291 VTA neurons during in vivo extracellular recordings in anesthetized rats. Initially, 22 neurons with high firing rates (>10 Hz) and short-lasting action potentials (AP) were considered as a separate subpopulation, in light of previous studies. To segregate the remaining 269 neurons, presumably dopaminergic (DA), we performed in silico analyses, using a combination of different electrophysiological parameters. These parameters included: (1) firing rate; (2) firing rate coefficient of variation (CV); (3) percentage of spikes in a burst; (4) AP duration; (5) Δt1 duration (i.e., time from initiation of depolarization until end of repolarization); and (6) presence of a notched AP waveform. Unsupervised hierarchical clustering revealed two neuronal populations that differed in their bursting activities. The largest population presented low bursting activities (<17.5% of total spikes in burst), while the remaining neurons presented higher bursting activities (>17.5%). Within non-high-firing neurons, a large heterogeneity was noted concerning AP characteristics. In conclusion, this analysis based on conventional electrophysiological criteria clustered two subpopulations of putative DA VTA neurons that are distinguishable by their firing patterns (firing rates and bursting activities) but not their AP properties. | |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject.en | VTA | |
| dc.subject.en | Dopaminergic neurons | |
| dc.subject.en | Electrophysiology | |
| dc.subject.en | Hierarchical clustering | |
| dc.subject.en | Neurophysiology | |
| dc.title.en | In silico Hierarchical Clustering of Neuronal Populations in the Rat Ventral Tegmental Area Based on Extracellular Electrophysiological Properties | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.3389/fncir.2020.00051 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
| dc.identifier.pubmed | 32903825 | en_US |
| bordeaux.journal | Frontiers in Neural Circuits | en_US |
| bordeaux.volume | 14 | en_US |
| bordeaux.hal.laboratories | NutriNeurO (Laboratoire de Nutrition et Neurobiologie Intégrée) - UMR 1286 | en_US |
| bordeaux.issue | 51 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INRAE | en_US |
| bordeaux.institution | INSERM | |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.identifier.funderID | Agence Nationale de la Recherche | en_US |
| bordeaux.identifier.funderID | Fondation pour la Recherche Médicale | en_US |
| hal.export | false | |
| workflow.import.source | dissemin | |
| dc.rights.cc | CC BY | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Neural%20Circuits&rft.date=2020-08-13&rft.volume=14&rft.issue=51&rft.eissn=1662-5110&rft.issn=1662-5110&rft.au=DI%20MICELI,%20Mathieu&HUSSON,%20Zoe&RUEL,%20Philippe&LAYE,%20Sophie&COTA,%20Daniela&rft.genre=article |
