Literature DB >> 18215425

In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory cortices.

C Monier1, J Fournier, Y Frégnac.   

Abstract

In order to better understand the synaptic nature of the integration process operated by cortical neurons during sensory processing, it is necessary to devise quantitative methods which allow one to infer the level of conductance change evoked by the sensory stimulation and, consequently, the dynamics of the balance between excitation and inhibition. Such detailed measurements are required to characterize the static versus dynamic nature of the non-linear interactions triggered at the single cell level by sensory stimulus. This paper primarily reviews experimental data from our laboratory based on direct conductance measurements during whole-cell patch clamp recordings in two experimental preparations: (1) in vitro, during electrical stimulation in the visual cortex of the rat and (2) in vivo, during visual stimulation, in the primary visual cortex of the anaesthetized cat. Both studies demonstrate that shunting inhibition is expressed as well in vivo as in vitro. Our in vivo data reveals that a high level of diversity is observed in the degree of interaction (from linear to non-linear) and in the temporal interplay (from push-pull to synchronous) between stimulus-driven excitation (E) and inhibition (I). A detailed analysis of the E/I balance during evoked spike activity further shows that the firing strength results from a simultaneous decrease of evoked inhibition and increase of excitation. Secondary, the paper overviews the various computational methods used in the literature to assess conductance dynamics, measured in current clamp as well as in voltage clamp in different neocortical areas and species, and discuss the consistency of their estimations.

Entities:  

Mesh:

Year:  2007        PMID: 18215425     DOI: 10.1016/j.jneumeth.2007.11.008

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  62 in total

1.  Estimating three synaptic conductances in a stochastic neural model.

Authors:  Stephen E Odom; Alla Borisyuk
Journal:  J Comput Neurosci       Date:  2012-02-11       Impact factor: 1.621

2.  Dissecting estimation of conductances in subthreshold regimes.

Authors:  Catalina Vich; Antoni Guillamon
Journal:  J Comput Neurosci       Date:  2015-10-03       Impact factor: 1.621

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

Authors:  E Yu Smirnova; A V Zaitsev; K Kh Kim; A V Chizhov
Journal:  J Comput Neurosci       Date:  2015-08-18       Impact factor: 1.621

4.  Cumulative latency advance underlies fast visual processing in desynchronized brain state.

Authors:  Xu-dong Wang; Cheng Chen; Dinghong Zhang; Haishan Yao
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-17       Impact factor: 11.205

5.  Impaired GABAergic transmission disrupts normal homeostatic plasticity in rat cortical networks.

Authors:  N Le Roux; M Amar; A Moreau; G Baux; P Fossier
Journal:  Eur J Neurosci       Date:  2008-06       Impact factor: 3.386

6.  Long-lasting context dependence constrains neural encoding models in rodent auditory cortex.

Authors:  Hiroki Asari; Anthony M Zador
Journal:  J Neurophysiol       Date:  2009-08-12       Impact factor: 2.714

7.  Reliable recall of spontaneous activity patterns in cortical networks.

Authors:  Olivier Marre; Pierre Yger; Andrew P Davison; Yves Frégnac
Journal:  J Neurosci       Date:  2009-11-18       Impact factor: 6.167

8.  Inhibitory "noise".

Authors:  Alain Destexhe
Journal:  Front Cell Neurosci       Date:  2010-03-31       Impact factor: 5.505

9.  Maturation of GABAergic inhibition promotes strengthening of temporally coherent inputs among convergent pathways.

Authors:  Sandra J Kuhlman; Jiangteng Lu; Matthew S Lazarus; Z Josh Huang
Journal:  PLoS Comput Biol       Date:  2010-06-03       Impact factor: 4.475

10.  Stimulus onset quenches neural variability: a widespread cortical phenomenon.

Authors:  Mark M Churchland; Byron M Yu; John P Cunningham; Leo P Sugrue; Marlene R Cohen; Greg S Corrado; William T Newsome; Andrew M Clark; Paymon Hosseini; Benjamin B Scott; David C Bradley; Matthew A Smith; Adam Kohn; J Anthony Movshon; Katherine M Armstrong; Tirin Moore; Steve W Chang; Lawrence H Snyder; Stephen G Lisberger; Nicholas J Priebe; Ian M Finn; David Ferster; Stephen I Ryu; Gopal Santhanam; Maneesh Sahani; Krishna V Shenoy
Journal:  Nat Neurosci       Date:  2010-02-21       Impact factor: 24.884

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.