How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons.
How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons.
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DOI:
10.1371/journal.pcbi.1002050
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发表时间:
2011-05
影响因子:
4.3
通讯作者:
Seutin V
中科院分区:
文献类型:
--
作者:
Drion G;Massotte L;Sepulchre R;Seutin V
Midbrain dopaminergic neurons are endowed with endogenous slow pacemaking properties. In recent years, many different groups have studied the basis for this phenomenon, often with conflicting conclusions. In particular, the role of a slowly-inactivating L-type calcium channel in the depolarizing phase between spikes is controversial, and the analysis of slow oscillatory potential (SOP) recordings during the blockade of sodium channels has led to conflicting conclusions. Based on a minimal model of a dopaminergic neuron, our analysis suggests that the same experimental protocol may lead to drastically different observations in almost identical neurons. For example, complete L-type calcium channel blockade eliminates spontaneous firing or has almost no effect in two neurons differing by less than 1% in their maximal sodium conductance. The same prediction can be reproduced in a state of the art detailed model of a dopaminergic neuron. Some of these predictions are confirmed experimentally using single-cell recordings in brain slices. Our minimal model exhibits SOPs when sodium channels are blocked, these SOPs being uncorrelated with the spiking activity, as has been shown experimentally. We also show that block of a specific conductance (in this case, the SK conductance) can have a different effect on these two oscillatory behaviors (pacemaking and SOPs), despite the fact that they have the same initiating mechanism. These results highlight the fact that computational approaches, besides their well known confirmatory and predictive interests in neurophysiology, may also be useful to resolve apparent discrepancies between experimental results. Dopamine is a neurotransmitter which plays important roles in the control of voluntary movement, motivation and reward, attention, and learning. Dysfunction of midbrain dopaminergic systems is involved in various diseases such as Parkinson's disease, schizophrenia and drug abuse. This underlines the importance of a tight regulation of dopamine levels in the brain. At the cellular level, the release of dopamine is directly correlated to the type of electrical activity (the firing pattern) of nerve cells that produce it, the so-called “dopaminergic neurons”. Therefore, an in depth understanding of the mechanisms underlying the electrical behavior of dopaminergic neurons is of critical importance to find new strategies for the treatment of diseases that result from dysfunction of this system.
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影响因子:
2.5
作者:
Canavier, C. C.;Landry, R. S.
通讯作者:
Landry, R. S.
DOI:
10.1523/jneurosci.4742-09.2009
发表时间:
2009-12-09
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Putzier I;Kullmann PH;Horn JP;Levitan ES
通讯作者:
Levitan ES
DOI:
10.1523/jneurosci.2519-09.2009
发表时间:
2009-09-02
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Guzman JN;Sánchez-Padilla J;Chan CS;Surmeier DJ
通讯作者:
Surmeier DJ
影响因子:
2.5
作者:
Komendantov, AO;Komendantova, OG;Canavier, CC
通讯作者:
Canavier, CC
影响因子:
64.8
作者:
Chan, C. Savio;Guzman, Jaime N.;Surmeier, D. James
通讯作者:
Surmeier, D. James