Literature DB >> 8176427

Low-threshold calcium current and resonance in thalamic neurons: a model of frequency preference.

B Hutcheon1, R M Miura, Y Yarom, E Puil.   

Abstract

1. We constructed a mathematical model of the subthreshold electrical behavior of neurons in the nucleus mediodorsalis thalami (MDT) to elucidate the basis of a Ni(2+)-sensitive low-frequency (2-4 Hz) resonance found previously in these neurons. 2. A model that included the low- and high-threshold Ca2+ currents (IT and IL), a Ca(2+)-activated K+ current (IC), a rapidly inactivating K+ current (IA), a voltage-dependent K+ current which we call IKx, and a voltage-independent leak current (Il), successfully simulated the low-threshold spike observed in MDT neurons. This model (the MDT model) and a minimal version of the model containing only IT and I1 (the minimal MDT model) were used in the analysis. 3. An impedance function was derived for a linearized version of the MDT model. This showed that the model predicts a low-frequency (2-4 Hz) resonance in the voltage response to "small" oscillatory current inputs (producing voltage changes of < 10 mV) when the membrane potential is between -60 and -85 mV. 4. Further examination of the impedances for the MDT and minimal MDT models shows that IT underlies the frequency- and voltage-dependent resonance. The slow inactivation of IT results in an attenuation of voltage responses to low frequencies, resulting in a band-pass behavior. The fast activation of IT amplifies the resonance and modulates the peak frequency but does not, in itself, cause resonance. 5. When voltage responses are small (< 10 mV), the strength and voltage-dependence of resonance of the minimal MDT model are determined by the steady-state window conductance, gw, due to IT. This steady-state conductance arises where the steady-state activation, m(infinity2)(V), and inactivation, h(infinity) (V), curves overlap. Parallel shifts in the inactivation curve can eliminate or enhance resonance with little effect on the IT-dependent low-threshold spike evoked after hyperpolarizing current pulses. When the peak magnitude of gw was large, the minimal MDT model showed spontaneous oscillations at 3 Hz with amplitudes > 30 mV. 6. Large oscillatory current inputs evoked significantly nonlinear voltage responses in the minimal MDT model, but the 2- to 4-Hz frequency selectivity (predicted from the linearized impedance) remained. 7. We conclude that the properties of the low-threshold Ca2+ current, IT, are sufficient to explain the Ni(2+)-sensitive 2- to 4-Hz resonance seen in MDT neurons.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1994        PMID: 8176427     DOI: 10.1152/jn.1994.71.2.583

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  32 in total

1.  Membrane resonance and stochastic resonance modulate firing patterns of thalamocortical neurons.

Authors:  Stefan Reinker; Ernest Puil; Robert M Miura
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

2.  The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model.

Authors:  Szabolcs Káli; Rita Zemankovics
Journal:  J Comput Neurosci       Date:  2012-02-17       Impact factor: 1.621

3.  Subthreshold voltage noise of rat neocortical pyramidal neurones.

Authors:  Gilad A Jacobson; Kamran Diba; Anat Yaron-Jakoubovitch; Yasmin Oz; Christof Koch; Idan Segev; Yosef Yarom
Journal:  J Physiol       Date:  2005-02-03       Impact factor: 5.182

4.  Integration of K+ and Cl- currents regulate steady-state and dynamic membrane potentials in cultured rat microglia.

Authors:  Evan W Newell; Lyanne C Schlichter
Journal:  J Physiol       Date:  2005-07-14       Impact factor: 5.182

5.  Neuronal basis of the slow (<1 Hz) oscillation in neurons of the nucleus reticularis thalami in vitro.

Authors:  Kate L Blethyn; Stuart W Hughes; Tibor I Tóth; David W Cope; Vincenzo Crunelli
Journal:  J Neurosci       Date:  2006-03-01       Impact factor: 6.167

6.  Subthreshold membrane-potential resonances shape spike-train patterns in the entorhinal cortex.

Authors:  T A Engel; L Schimansky-Geier; A V M Herz; S Schreiber; I Erchova
Journal:  J Neurophysiol       Date:  2008-04-30       Impact factor: 2.714

7.  An oscillatory circuit underlying the detection of disruptions in temporally-periodic patterns.

Authors:  Juan Gao; Greg Schwartz; Michael J Berry; Philip Holmes
Journal:  Network       Date:  2009       Impact factor: 1.273

8.  An analytic solution of the cable equation predicts frequency preference of a passive shunt-end cylindrical cable in response to extracellular oscillating electric fields.

Authors:  Hiromu Monai; Toshiaki Omori; Masato Okada; Masashi Inoue; Hiroyoshi Miyakawa; Toru Aonishi
Journal:  Biophys J       Date:  2010-02-17       Impact factor: 4.033

9.  Differences in subthreshold resonance of hippocampal pyramidal cells and interneurons: the role of h-current and passive membrane characteristics.

Authors:  Rita Zemankovics; Szabolcs Káli; Ole Paulsen; Tamás F Freund; Norbert Hájos
Journal:  J Physiol       Date:  2010-04-26       Impact factor: 5.182

10.  Active dendrites mediate stratified gamma-range coincidence detection in hippocampal model neurons.

Authors:  Anindita Das; Rishikesh Narayanan
Journal:  J Physiol       Date:  2015-06-25       Impact factor: 5.182

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