Literature DB >> 16775200

Analysis of LFP phase predicts sensory response of barrel cortex.

R Haslinger1, I Ulbert, C I Moore, E N Brown, A Devor.   

Abstract

Several previous studies have shown the existence of Up and Down states and have linked their magnitude (e.g., depolarization level) to the size of sensory-evoked responses. Here, we studied how the temporal dynamics of such states influence the sensory-evoked response to vibrissa deflection. Under alpha-chloralose anesthesia, barrel cortex exhibits strong quasi-periodic approximately 1-Hz local field potential (LFP) oscillations generated by the synchronized fluctuation of large populations of neurons between depolarized (Up) and hyperpolarized (Down) states. Using a linear depth electrode array, we recorded the LFP and multiunit activity (MUA) simultaneously across multiple layers of the barrel column and used the LFP to approximate the subthreshold Up-Down fluctuations. Our central finding is that the MUA response is a strong function of the LFP oscillation's phase. When only ongoing LFP magnitude was considered, the response was largest in the Down state, in agreement with previous studies. However, consideration of the LFP phase revealed that the MUA response varied smoothly as a function of LFP phase in a manner that was not monotonically dependent on LFP magnitude. The LFP phase is therefore a better predictor of the MUA response than the LFP magnitude is. Our results suggest that, in the presence of ongoing oscillations, there can be a continuum of response properties and that each phase may, at times, need to be considered a distinct cortical state.

Entities:  

Mesh:

Year:  2006        PMID: 16775200     DOI: 10.1152/jn.01288.2005

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


  27 in total

1.  Sensory input drives multiple intracellular information streams in somatosensory cortex.

Authors:  Andrea Alenda; Manuel Molano-Mazón; Stefano Panzeri; Miguel Maravall
Journal:  J Neurosci       Date:  2010-08-11       Impact factor: 6.167

2.  Review of signal distortion through metal microelectrode recording circuits and filters.

Authors:  Matthew J Nelson; Pierre Pouget; Erik A Nilsen; Craig D Patten; Jeffrey D Schall
Journal:  J Neurosci Methods       Date:  2008-02-01       Impact factor: 2.390

3.  Analysis of between-trial and within-trial neural spiking dynamics.

Authors:  Gabriela Czanner; Uri T Eden; Sylvia Wirth; Marianna Yanike; Wendy A Suzuki; Emery N Brown
Journal:  J Neurophysiol       Date:  2008-01-23       Impact factor: 2.714

4.  Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles.

Authors:  Lauren M Jones; Alfredo Fontanini; Brian F Sadacca; Paul Miller; Donald B Katz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-13       Impact factor: 11.205

5.  Stimulus-specific and stimulus-nonspecific firing synchrony and its modulation by sensory adaptation in the whisker-to-barrel pathway.

Authors:  Vivek Khatri; Randy M Bruno; Daniel J Simons
Journal:  J Neurophysiol       Date:  2009-03-11       Impact factor: 2.714

6.  Populations of striatal medium spiny neurons encode vibrotactile frequency in rats: modulation by slow wave oscillations.

Authors:  Thomas G Hawking; Todor V Gerdjikov
Journal:  J Neurophysiol       Date:  2012-10-31       Impact factor: 2.714

7.  Up states are rare in awake auditory cortex.

Authors:  Tomáš Hromádka; Anthony M Zador; Michael R DeWeese
Journal:  J Neurophysiol       Date:  2013-01-23       Impact factor: 2.714

8.  Linear superposition of sensory-evoked and ongoing cortical hemodynamics.

Authors:  Mohamad Saka; Jason Berwick; Myles Jones
Journal:  Front Neuroenergetics       Date:  2010-08-27

9.  Cross-approximate entropy of cortical local field potentials quantifies effects of anesthesia--a pilot study in rats.

Authors:  Matthias Kreuzer; Harald Hentschke; Bernd Antkowiak; Cornelius Schwarz; Eberhard F Kochs; Gerhard Schneider
Journal:  BMC Neurosci       Date:  2010-09-23       Impact factor: 3.288

10.  A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex.

Authors:  Carina Curto; Shuzo Sakata; Stephan Marguet; Vladimir Itskov; Kenneth D Harris
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

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