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Subthreshold repertoire and threshold dynamics of midbrain dopamine neuron firing in vivo

  • The firing pattern of ventral midbrain dopamine neurons is controlled by afferent and intrinsic activity to generate prediction error signals that are essential for reward-based learning. Given the absence of intracellular in vivo recordings in the last three decades, the subthreshold membrane potential events that cause changes in dopamine neuron firing patterns remain unknown. By establishing stable in vivo whole-cell recordings of >100 spontaneously active midbrain dopamine neurons in anaesthetized mice, we identified the repertoire of subthreshold membrane potential signatures associated with distinct in vivo firing patterns. We demonstrate that dopamine neuron in vivo activity deviates from a single spike pacemaker pattern by eliciting transient increases in firing rate generated by at least two diametrically opposing biophysical mechanisms: a transient depolarization resulting in high frequency plateau bursts associated with a reactive, depolarizing shift in action potential threshold; and a prolonged hyperpolarization preceding slower rebound bursts characterized by a predictive, hyperpolarizing shift in action potential threshold. Our findings therefore illustrate a framework for the biophysical implementation of prediction error and sensory cue coding in dopamine neurons by tuning action potential threshold dynamics.

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Metadaten
Author:Kanako OtomoORCiDGND, Jessica Perkins, Anand Kulkarni, Strahinja StojanovicORCiD, Jochen RoeperORCiD, Carlos A. PaladiniORCiD
URN:urn:nbn:de:hebis:30:3-727281
DOI:https://doi.org/10.1101/2020.04.06.028829
Parent Title (English):bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2020/05/03
Date of first Publication:2020/05/03
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/06/05
Issue:2020.04.06.028829
Page Number:43
Institutes:Medizin
Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International