Literature DB >> 11495944

Resonance of spike discharge modulation in neurons of the guinea pig medial vestibular nucleus.

L Ris1, M Hachemaoui, N Vibert, E Godaux, P P Vidal, L E Moore.   

Abstract

The modulation of action potential discharge rates is an important aspect of neuronal information processing. In these experiments, we have attempted to determine how effectively spike discharge modulation reflects changes in the membrane potential in central vestibular neurons. We have measured how their spike discharge rate was modulated by various current inputs to obtain neuronal transfer functions. Differences in the modulation of spiking rates were observed between neurons with a single, prominent after hyperpolarization (AHP, type A neurons) and cells with more complex AHPs (type B neurons). The spike discharge modulation amplitudes increased with the frequency of the current stimulus, which was quantitatively described by a neuronal model that showed a resonance peak >10 Hz. Modeling of the resonance peak required two putative potassium conductances whose properties had to be markedly dependent on the level of the membrane potential. At low frequencies (< or =0.4 Hz), the gain or magnitude functions of type A and B discharge rates were similar relative to the current input. However, resting input resistances obtained from the ratio of the membrane potential and current were lower in type B compared with type A cells, presumably due to a higher level of active potassium conductances at rest. The lower input resistance of type B neurons was compensated by a twofold greater sensitivity of their firing rate to changes in membrane potential, which suggests that synaptic inputs on their dendritic processes would be more efficacious. This increased sensitivity is also reflected in a greater ability of type B neurons to synchronize with low-amplitude sinusoidal current inputs, and in addition, their responses to steep slope ramp stimulation are enhanced over the more linear behavior of type A neurons. This behavior suggests that the type B MVNn are moderately tuned active filters that promote high-frequency responses and that type A neurons are like low-pass filters that are well suited for the resting tonic activity of the vestibular system. However, the more sensitive and phasic type B neurons contribute to both low- and high-frequency control as well as signal detection and would amplify the contribution of both irregular and regular primary afferents at high frequencies.

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Year:  2001        PMID: 11495944     DOI: 10.1152/jn.2001.86.2.703

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


  14 in total

1.  Intrinsic firing dynamics of vestibular nucleus neurons.

Authors:  Chris Sekirnjak; Sascha du Lac
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

2.  How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Authors:  Nicolas Fourcaud-Trocmé; David Hansel; Carl van Vreeswijk; Nicolas Brunel
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

3.  Dynamics of the horizontal vestibuloocular reflex after unilateral labyrinthectomy: response to high frequency, high acceleration, and high velocity rotations.

Authors:  Soroush G Sadeghi; Lloyd B Minor; Kathleen E Cullen
Journal:  Exp Brain Res       Date:  2006-06-29       Impact factor: 1.972

4.  The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.

Authors:  Harold Köndgen; Caroline Geisler; Stefano Fusi; Xiao-Jing Wang; Hans-Rudolf Lüscher; Michele Giugliano
Journal:  Cereb Cortex       Date:  2008-02-09       Impact factor: 5.357

5.  Response linearity of alert monkey non-eye movement vestibular nucleus neurons during sinusoidal yaw rotation.

Authors:  Shawn D Newlands; Nan Lin; Min Wei
Journal:  J Neurophysiol       Date:  2009-06-24       Impact factor: 2.714

6.  Intrinsic membrane properties of central vestibular neurons in rodents.

Authors:  Daniel Eugène; Erwin Idoux; Mathieu Beraneck; L E Moore; Pierre-Paul Vidal
Journal:  Exp Brain Res       Date:  2011-02-18       Impact factor: 1.972

Review 7.  Interactions between intrinsic membrane and emerging network properties determine signal processing in central vestibular neurons.

Authors:  C Rössert; H Straka
Journal:  Exp Brain Res       Date:  2011-03-04       Impact factor: 1.972

8.  Intrinsic physiology of identified neurons in the prepositus hypoglossi and medial vestibular nuclei.

Authors:  Kristine E Kolkman; Setareh H Moghadam; Sascha du Lac
Journal:  J Vestib Res       Date:  2011       Impact factor: 2.435

9.  In vivo conditions induce faithful encoding of stimuli by reducing nonlinear synchronization in vestibular sensory neurons.

Authors:  Adam D Schneider; Kathleen E Cullen; Maurice J Chacron
Journal:  PLoS Comput Biol       Date:  2011-07-21       Impact factor: 4.475

10.  The vestibular system implements a linear-nonlinear transformation in order to encode self-motion.

Authors:  Corentin Massot; Adam D Schneider; Maurice J Chacron; Kathleen E Cullen
Journal:  PLoS Biol       Date:  2012-07-24       Impact factor: 8.029

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