Literature DB >> 18632930

Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics.

Yuguo Yu1, Yousheng Shu, David A McCormick.   

Abstract

Neocortical action potential responses in vivo are characterized by considerable threshold variability, and thus timing and rate variability, even under seemingly identical conditions. This finding suggests that cortical ensembles are required for accurate sensorimotor integration and processing. Intracellularly, trial-to-trial variability results not only from variation in synaptic activities, but also in the transformation of these into patterns of action potentials. Through simultaneous axonal and somatic recordings and computational simulations, we demonstrate that the initiation of action potentials in the axon initial segment followed by backpropagation of these spikes throughout the neuron results in a distortion of the relationship between the timing of synaptic and action potential events. In addition, this backpropagation also results in an unusually high rate of rise of membrane potential at the foot of the action potential. The distortion of the relationship between the amplitude time course of synaptic inputs and action potential output caused by spike backpropagation results in the appearance of high spike threshold variability at the level of the soma. At the point of spike initiation, the axon initial segment, threshold variability is considerably less. Our results indicate that spike generation in cortical neurons is largely as expected by Hodgkin-Huxley theory and is more precise than previously thought.

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Year:  2008        PMID: 18632930      PMCID: PMC2664555          DOI: 10.1523/JNEUROSCI.1613-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  45 in total

1.  Role of an A-type K+ conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons.

Authors:  M Migliore; D A Hoffman; J C Magee; D Johnston
Journal:  J Comput Neurosci       Date:  1999 Jul-Aug       Impact factor: 1.621

2.  Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

3.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

4.  Cell-attached measurements of the firing threshold of rat hippocampal neurones.

Authors:  D Fricker; J A Verheugen; R Miles
Journal:  J Physiol       Date:  1999-06-15       Impact factor: 5.182

5.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

Review 6.  The NEURON simulation environment.

Authors:  M L Hines; N T Carnevale
Journal:  Neural Comput       Date:  1997-08-15       Impact factor: 2.026

Review 7.  Action potential initiation and backpropagation in neurons of the mammalian CNS.

Authors:  G Stuart; N Spruston; B Sakmann; M Häusser
Journal:  Trends Neurosci       Date:  1997-03       Impact factor: 13.837

8.  Influence of low and high frequency inputs on spike timing in visual cortical neurons.

Authors:  L G Nowak; M V Sanchez-Vives; D A McCormick
Journal:  Cereb Cortex       Date:  1997-09       Impact factor: 5.357

9.  Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo.

Authors:  D Paré; E Shink; H Gaudreau; A Destexhe; E J Lang
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

10.  Action potential initiation and propagation in rat neocortical pyramidal neurons.

Authors:  G Stuart; J Schiller; B Sakmann
Journal:  J Physiol       Date:  1997-12-15       Impact factor: 5.182

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  86 in total

1.  Theoretical principles underlying optical stimulation of a channelrhodopsin-2 positive pyramidal neuron.

Authors:  Thomas J Foutz; Richard L Arlow; Cameron C McIntyre
Journal:  J Neurophysiol       Date:  2012-03-21       Impact factor: 2.714

2.  Differential effects of axon initial segment and somatodendritic GABAA receptors on excitability measures in rat dentate granule neurons.

Authors:  Patricio Rojas; Alejandro Akrouh; Lawrence N Eisenman; Steven Mennerick
Journal:  J Neurophysiol       Date:  2010-11-10       Impact factor: 2.714

3.  The domain of neuronal firing on a plane of input current and conductance.

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Journal:  J Comput Neurosci       Date:  2015-08-18       Impact factor: 1.621

Review 4.  Excitability tuning of axons in the central nervous system.

Authors:  Shunsuke Ohura; Haruyuki Kamiya
Journal:  J Physiol Sci       Date:  2015-10-22       Impact factor: 2.781

5.  Distinct contributions of Na(v)1.6 and Na(v)1.2 in action potential initiation and backpropagation.

Authors:  Wenqin Hu; Cuiping Tian; Tun Li; Mingpo Yang; Han Hou; Yousheng Shu
Journal:  Nat Neurosci       Date:  2009-07-26       Impact factor: 24.884

6.  The ionic mechanism of gamma resonance in rat striatal fast-spiking neurons.

Authors:  Giuseppe Sciamanna; Charles J Wilson
Journal:  J Neurophysiol       Date:  2011-08-31       Impact factor: 2.714

7.  The spatio-temporal characteristics of action potential initiation in layer 5 pyramidal neurons: a voltage imaging study.

Authors:  Marko A Popovic; Amanda J Foust; David A McCormick; Dejan Zecevic
Journal:  J Physiol       Date:  2011-06-13       Impact factor: 5.182

Review 8.  Electrogenic tuning of the axon initial segment.

Authors:  Brian D Clark; Ethan M Goldberg; Bernardo Rudy
Journal:  Neuroscientist       Date:  2009-12       Impact factor: 7.519

9.  Axonal sodium channel distribution shapes the depolarized action potential threshold of dentate granule neurons.

Authors:  Geraldine J Kress; Margaret J Dowling; Lawrence N Eisenman; Steven Mennerick
Journal:  Hippocampus       Date:  2010-04       Impact factor: 3.899

Review 10.  Mechanisms of neuronal computation in mammalian visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

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