Dataset Information

Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics.

ABSTRACT: The output of a neural circuit results from an interaction between the intrinsic properties of neurons in the circuit and the features of the synaptic connections between them. The plasticity of intrinsic properties has been primarily attributed to modification of ion channel function and/or number. We have found a mechanism for intrinsic plasticity in rhythmically active Drosophila neurons that was not based on changes in ion conductance. Larval motor neurons had a long-lasting, sodium-dependent afterhyperpolarization (AHP) following bursts of action potentials that was mediated by the electrogenic activity of Na(+)/K(+) ATPase. This AHP persisted for multiple seconds following volleys of action potentials and was able to function as a pattern-insensitive integrator of spike number that was independent of external calcium. This current also interacted with endogenous Shal K(+) conductances to modulate spike timing for multiple seconds following rhythmic activity, providing a cellular memory of network activity on a behaviorally relevant timescale.

SUBMITTER: Pulver SR

PROVIDER: S-EPMC2839136 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature

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Publications

Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics.

Pulver Stefan R SR Griffith Leslie C LC

Nature neuroscience 20091206 1

The output of a neural circuit results from an interaction between the intrinsic properties of neurons in the circuit and the features of the synaptic connections between them. The plasticity of intrinsic properties has been primarily attributed to modification of ion channel function and/or number. We have found a mechanism for intrinsic plasticity in rhythmically active Drosophila neurons that was not based on changes in ion conductance. Larval motor neurons had a long-lasting, sodium-dependen ...[more]

PMID: 19966842

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Project description:OBJECTIVE:Rhythmic brain stimulation has emerged as a powerful tool to modulate cognition and to target pathological oscillations related to neurological and psychiatric disorders. However, we lack a systematic understanding of how periodic stimulation interacts with endogenous neural activity as a function of the brain state and target. APPROACH:To address this critical issue, we applied periodic stimulation to a unified biophysical thalamic network model that generates multiple distinct oscillations, and examined thoroughly the impact of rhythmic stimulation on different oscillatory states. MAIN RESULTS:We found that rhythmic perturbation induces four basic response mechanisms: entrainment, acceleration, resonance and suppression. Importantly, the appearance and expression of these mechanisms depend highly on the intrinsic cellular dynamics in each state. Specifically, the low-threshold bursting of thalamocortical cells (TCs) in delta (?) oscillation renders the network relatively insensitive to entrainment; the high-threshold bursting of TCs in alpha (?) oscillation leads to widespread oscillation suppression while the tonic spiking of TC cells in gamma (?) oscillation results in prominent entrainment and resonance. In addition, we observed entrainment discontinuity during ? oscillation that is mediated by firing pattern switching of high-threshold bursting TC cells. Furthermore, we demonstrate that direct excitatory stimulation of the lateral geniculate nucleus (LGN) entrains thalamic oscillations via an asymmetric Arnold tongue that favors higher frequency entrainment and resonance, while stimulation of the inhibitory circuit, the reticular nucleus, induces much weaker and more symmetric entrainment and resonance. These results support the notion that rhythmic stimulation engages brain oscillations in a state- and target-dependent manner. SIGNIFICANCE:Overall, our study provides, for the first time, insights into how the biophysics of thalamic oscillations guide the emergence of complex, state-dependent mechanisms of target engagement, which can be leveraged for the future rational design of novel therapeutic stimulation modalities.

Project description:Rhythmic activity has been associated with a wide range of cognitive processes including the encoding of sensory information, navigation, the transfer of information and others. Rhythmic activity in the brain has also been suggested to be used for multiplexing information. Multiplexing is the ability to transmit more than one signal via the same channel. Here we focus on frequency division multiplexing, in which different signals are transmitted in different frequency bands. Recent work showed that spike-timing-dependent plasticity (STDP) can facilitate the transfer of rhythmic activity downstream the information processing pathway. However, STDP has also been known to generate strong winner-take-all like competition between subgroups of correlated synaptic inputs. This competition between different rhythmicity channels, induced by STDP, may prevent the multiplexing of information. Thus, raising doubts whether STDP is consistent with the idea of multiplexing. This study explores whether STDP can facilitate the multiplexing of information across multiple frequency channels, and if so, under what conditions. We address this question in a modelling study, investigating the STDP dynamics of two populations synapsing downstream onto the same neuron in a feed-forward manner. Each population was assumed to exhibit rhythmic activity, albeit in a different frequency band. Our theory reveals that the winner-take-all like competitions between the two populations is limited, in the sense that different rhythmic populations will not necessarily fully suppress each other. Furthermore, we found that for a wide range of parameters, the network converged to a solution in which the downstream neuron responded to both rhythms. Yet, the synaptic weights themselves did not converge to a fixed point, rather remained dynamic. These findings imply that STDP can support the multiplexing of rhythmic information, and demonstrate how functionality (multiplexing of information) can be retained in the face of continuous remodeling of all the synaptic weights. The constraints on the types of STDP rules that can support multiplexing provide a natural test for our theory.

Dataset Information

Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics.

Publications

Spike integration and cellular memory in a rhythmic network from Na+/K+ pump current dynamics.

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