In silico Hierarchical Clustering of Neuronal Populations in the Rat Ventral Tegmental Area Based on Extracellular Electrophysiological Properties
In: Frontiers in Neural Circuits, Jg. 14 (2020-08-01)
Online
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Zugriff:
International audience; 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%). 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.
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In silico Hierarchical Clustering of Neuronal Populations in the Rat Ventral Tegmental Area Based on Extracellular Electrophysiological Properties
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Autor/in / Beteiligte Person: | Mathieu Di Miceli ; Husson, Zoé ; Ruel, Philippe ; Layé, Sophie ; Cota, Daniela ; Fioramonti, Xavier ; Bosch-Bouju, Clémentine ; Gronier, Benjamin ; De Montfort University [Leicester, United Kingdom] (DMU) ; Nutrition et Neurobiologie intégrée (NutriNeuro) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Ecole nationale supérieure de chimie, biologie et physique-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) ; Physiopathologie du système nerveux central - Institut François Magendie ; Université Bordeaux Segalen - Bordeaux 2-IFR8-Institut National de la Santé et de la Recherche Médicale (INSERM) ; Institut de Génomique Fonctionnelle (IGF) ; Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS) ; Lycée Joffre, Montpellier ; ANR-10-LABX-0043,BRAIN,Bordeaux Region Aquitaine Initiative for Neuroscience(2010) ; ANR-18-CE14-0029,MitObesity,Rôle du récepteur aux cannabinoïdes de type 1 mitochondriale dans les circuits hypothalamiques et son interaction avec la voie mTORC1 dans l'obésité.(2018) ; Guerineau, Nathalie C. ; Bordeaux Region Aquitaine Initiative for Neuroscience - - BRAIN2010 - ANR-10-LABX-0043 - LABX -, VALID ; APPEL À PROJETS GÉNÉRIQUE 2018 - Rôle du récepteur aux cannabinoïdes de type 1 mitochondriale dans les circuits hypothalamiques et son interaction avec la voie mTORC1 dans l'obésité. - - MitObesity2018 - ANR-18-CE14-0029 - AAPG2018 -, VALID ; Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) |
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Zeitschrift: | Frontiers in Neural Circuits, Jg. 14 (2020-08-01) |
Veröffentlichung: | Frontiers Media S.A., 2020 |
Medientyp: | unknown |
ISSN: | 1662-5110 (print) |
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