Gain modulation by serotonin in pyramidal neurones of the rat prefrontal cortex

Zhang, Zhong-wei; Arsenault, Daniel

doi:10.1113/jphysiol.2005.086066

Cited by 75 publications

(80 citation statements)

References 58 publications

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“…We also manipulated sAHPs via application of the serotonergic (5-HT 2 ) agonist ␣me5HT (20 M), which reduces sAHPs (Villalobos et al, 2005) and increases neuronal gain to DC stimulation (Zhang and Arsenault, 2005). We confirmed that sAHPs were significantly reduced by ␣me5HT (Ϫ0.8 Ϯ 0.2 mV, n ϭ 9; vs ACSF, Ϫ3.3 Ϯ 0.4 mV; p Ͻ 0.001, paired t test) (Fig.…”

Section: Strong Correlation Between Adaptation and Calcium-dependent supporting

confidence: 60%

Intrinsic Mechanisms for Adaptive Gain Rescaling in Barrel Cortex

Díaz-Quesada¹,

Maravall²

2008

J. Neurosci.

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Barrel cortex neuronal responses adapt to changes in the statistics of complex whisker stimuli. This form of adaptation involves an adjustment in the input-output tuning functions of the neurons, such that their gain rescales depending on the range of the current stimulus distribution. Similar phenomena have been observed in other sensory systems, suggesting that adaptive adjustment of responses to ongoing stimulus statistics is an important principle of sensory function. In other systems, adaptation and gain rescaling can depend on intrinsic properties; however, in barrel cortex, whether intrinsic mechanisms can contribute to adaptation to stimulus statistics is unknown. To examine this, we performed whole-cell patch-clamp recordings of pyramidal cells in acute slices while injecting stochastic current stimuli. We induced changes in statistical context by switching across stimulus distributions. The firing rates of neurons adapted in response to changes in stimulus statistics. Adaptation depended on the form of the changes in stimulus distribution: in vivo-like adaptation occurred only for rectified stimuli that maintained neurons in a persistent state of net depolarization. Under these conditions, neurons rescaled the gain of their input-output functions according to the scale of the stimulus distribution, as observed in vivo. This stimulus-specific adaptation was caused by intrinsic properties and correlated strongly with the amplitude of calciumdependent slow afterhyperpolarizations. Our results suggest that widely expressed intrinsic mechanisms participate in barrel cortex adaptation but that their recruitment is highly stimulus specific.

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Section: Strong Correlation Between Adaptation and Calcium-dependent supporting

confidence: 60%

Intrinsic Mechanisms for Adaptive Gain Rescaling in Barrel Cortex

Díaz-Quesada¹,

Maravall²

2008

J. Neurosci.

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“…I sAHP is related to a variety of computational properties of neurons, including spike-frequency adaptation (Adams et al, 1982;Madison and Nicoll, 1984), gain of input-to-output transformations (Zhang and Arsenault, 2005;Thurley et al, 2008) and preference for spike-time or spike-rate coding (Prescott et al, 2006;. Despite its importance, its molecular correlates remain unidentified (Stocker, 2004).…”

Section: Discussionmentioning

confidence: 99%

Reduction of an Afterhyperpolarization Current Increases Excitability in Striatal Cholinergic Interneurons in Rat Parkinsonism

Sanchez¹,

Rodriguez²,

Pomata³

et al. 2011

J. Neurosci.

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Striatal cholinergic interneurons show tonic spiking activity in the intact and sliced brain, which stems from intrinsic mechanisms. Because of it, they are also known as "tonically active neurons" (TANs). Another hallmark of TAN electrophysiology is a pause response to appetitive and aversive events and to environmental cues that have predicted these events during learning. Notably, the pause response is lost after the degeneration of dopaminergic neurons in animal models of Parkinson's disease. Moreover, Parkinson's disease patients are in a hypercholinergic state and find some clinical benefit in anticholinergic drugs. Current theories propose that excitatory thalamic inputs conveying information about salient sensory stimuli trigger an intrinsic hyperpolarizing response in the striatal cholinergic interneurons. Moreover, it has been postulated that the loss of the pause response in Parkinson's disease is related to a diminution of I sAHP , a slow outward current that mediates an afterhyperpolarization following a train of action potentials. Here we report that I sAHP induces a marked spike-frequency adaptation in adult rat striatal cholinergic interneurons, inducing an abrupt end of firing during sustained excitation. Chronic loss of dopaminergic neurons markedly reduces I sAHP and spike-frequency adaptation in cholinergic interneurons, allowing them to fire continuously and at higher rates during sustained excitation. These findings provide a plausible explanation for the hypercholinergic state in Parkinson's disease. Moreover, a reduction of I sAHP may alter synchronization of cholinergic interneurons with afferent inputs, thus contributing to the loss of the pause response in Parkinson's disease.

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“…The gain of the response function can be modulated by various mechanisms, e.g., through the action of neuromodulators (Zhang and Arsenault 2005;Thurley et al 2008), the strength of after-hyperpolarization currents (Higgs et al 2006), or a balanced change of noisy excitation and inhibition (Hô and Destexhe 2000;Destexhe et al 2001;Doiron et al 2001;Chance et al 2002;Longtin et al 2002;Mitchell and Silver 2003). These forms of gain modulation are implementable in point neurons, and were not considered here.…”

Section: Discussionmentioning

confidence: 99%

The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs

et al. 2008

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The response of a population of neurons to time-varying synaptic inputs can show a rich phenomenology, hardly predictable from the dynamical properties of the membrane's inherent time constants. For example, a network of neurons in a state of spontaneous activity can respond significantly more rapidly than each single neuron taken individually. Under the assumption that the statistics of the synaptic input is the same for a population of similarly behaving neurons (mean field approximation), it is possible to greatly simplify the study of neural circuits, both in the case in which the statistics of the input are stationary (reviewed in La Camera et al. in Biol Cybern, 2008) and in the case in which they are time varying and unevenly distributed over the dendritic tree. Here, we review theoretical and experimental results on the single-neuron properties that are relevant for the dynamical collective behavior of a population of neurons. We focus on the response of integrate-and-fire neurons and real cortical neurons to long-lasting, noisy, in vivo-like stationary inputs and show how the theory can predict the observed rhythmic activity of cultures of neurons. We then show how cortical neurons adapt on multiple time scales in response to input with stationary statistics in vitro. Next, we review how it is possible to study the general response properties of a neural circuit to time-varying inputs by estimating the response of single neurons to noisy sinusoidal currents. Finally, we address the dendrite-soma interactions in cortical neurons leading to gain modulation and spike bursts, and show how these effects can be captured by a two-compartment integrate-and-fire neuron. Most of the experimental results reviewed in this article have been successfully reproduced by simple integrate-and-fire model neurons.

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Gain modulation by serotonin in pyramidal neurones of the rat prefrontal cortex

Cited by 75 publications

References 58 publications

Intrinsic Mechanisms for Adaptive Gain Rescaling in Barrel Cortex

Intrinsic Mechanisms for Adaptive Gain Rescaling in Barrel Cortex

Reduction of an Afterhyperpolarization Current Increases Excitability in Striatal Cholinergic Interneurons in Rat Parkinsonism

The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs

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