Inactivation mode of sodium channels defines the different maximal firing rates of conventional versus atypical midbrain dopamine neurons

Autor: Carmen C. Canavier, Tabea Ines Ziouziou, Niklas Hammer, Jochen Roeper, Christopher J. Knowlton
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Patch-Clamp Techniques
Physiology
Dopamine
Action Potentials
Gating
Striatum
Voltage-Gated Sodium Channels
Biochemistry
Ion Channels
Sodium Channels
Midbrain
Mice
Catecholamines
Mesencephalon
Animal Cells
Medicine and Health Sciences
Amines
Biology (General)
Membrane potential
Neurons
education.field_of_study
Ecology
Chemistry
Organic Compounds
Physics
Brain
Depolarization
Neurochemistry
Neurotransmitters
Markov Chains
Electrophysiology
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Cellular Types
Anatomy
Ion Channel Gating
Brainstem
medicine.drug
Research Article
Biogenic Amines
QH301-705.5
Population
Models
Neurological

Biophysics
Neurophysiology
Nucleus accumbens
In Vitro Techniques
Membrane Potential
Cellular and Molecular Neuroscience
Genetics
medicine
Animals
education
Molecular Biology
Ecology
Evolution
Behavior and Systematics

Sodium channel
Dopaminergic Neurons
Long-Term Synaptic Depression
Organic Chemistry
Chemical Compounds
Computational Biology
Biology and Life Sciences
Proteins
Cell Biology
Hormones
Electrophysiological Phenomena
Mice
Inbred C57BL

Cellular Neuroscience
Calcium Channels
Neuroscience
Zdroj: PLoS Computational Biology, Vol 17, Iss 9, p e1009371 (2021)
PLoS Computational Biology
ISSN: 1553-7358
Popis: Two subpopulations of midbrain dopamine (DA) neurons are known to have different dynamic firing ranges in vitro that correspond to distinct projection targets: the originally identified conventional DA neurons project to the dorsal striatum and the lateral shell of the nucleus accumbens, whereas an atypical DA population with higher maximum firing frequencies projects to prefrontal regions and other limbic regions including the medial shell of nucleus accumbens. Using a computational model, we show that previously identified differences in biophysical properties do not fully account for the larger dynamic range of the atypical population and predict that the major difference is that originally identified conventional cells have larger occupancy of voltage-gated sodium channels in a long-term inactivated state that recovers slowly; stronger sodium and potassium conductances during action potential firing are also predicted for the conventional compared to the atypical DA population. These differences in sodium channel gating imply that longer intervals between spikes are required in the conventional population for full recovery from long-term inactivation induced by the preceding spike, hence the lower maximum frequency. These same differences can also change the bifurcation structure to account for distinct modes of entry into depolarization block: abrupt versus gradual. The model predicted that in cells that have entered depolarization block, it is much more likely that an additional depolarization can evoke an action potential in conventional DA population. New experiments comparing lateral to medial shell projecting neurons confirmed this model prediction, with implications for differential synaptic integration in the two populations.
Author summary We developed a theoretical and mathematical framework that could explain the major electrophysiological differences between the conventional midbrain dopamine (DA) neurons with a low maximum firing rate, and the more recently identified atypical DA neurons. Testable predictions from this framework were then verified with in vitro patch-clamp recordings from DA neurons with identified phenotypes and projection targets. Since different subpopulations of DA neurons participate in different circuits, and these circuits are likely differentially dysregulated in diseases such as addiction, Parkinson disease, and schizophrenia, it is important to identify the differences of their intrinsic electrophysiological properties as a prelude to developing more precisely targeted therapies.
Databáze: OpenAIRE
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