Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

Spatial reach of the local field potential is frequency dependent

, 1 , 2 , 2 , 2 , 2 , 2

BMC Neuroscience

BioMed Central

Twentieth Annual Computational Neuroscience Meeting: CNS*2011

23-28 July 2011

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Related collections

      Most cited references 3

      • Record: found
      • Abstract: found
      • Article: not found

      Intrinsic dendritic filtering gives low-pass power spectra of local field potentials.

      The local field potential (LFP) is among the most important experimental measures when probing neural population activity, but a proper understanding of the link between the underlying neural activity and the LFP signal is still missing. Here we investigate this link by mathematical modeling of contributions to the LFP from a single layer-5 pyramidal neuron and a single layer-4 stellate neuron receiving synaptic input. An intrinsic dendritic low-pass filtering effect of the LFP signal, previously demonstrated for extracellular signatures of action potentials, is seen to strongly affect the LFP power spectra, even for frequencies as low as 10 Hz for the example pyramidal neuron. Further, the LFP signal is found to depend sensitively on both the recording position and the position of the synaptic input: the LFP power spectra recorded close to the active synapse are typically found to be less low-pass filtered than spectra recorded further away. Some recording positions display striking band-pass characteristics of the LFP. The frequency dependence of the properties of the current dipole moment set up by the synaptic input current is found to qualitatively account for several salient features of the observed LFP. Two approximate schemes for calculating the LFP, the dipole approximation and the two-monopole approximation, are tested and found to be potentially useful for translating results from large-scale neural network models into predictions for results from electroencephalographic (EEG) or electrocorticographic (ECoG) recordings.
        Bookmark
        • Record: found
        • Abstract: found
        • Article: not found

        Amplitude variability and extracellular low-pass filtering of neuronal spikes.

        The influence of neural morphology and passive electrical parameters on the width and amplitude of extracellular spikes is investigated by combined analytical and numerical investigations of idealized and anatomically reconstructed pyramidal and stellate neuron models. The main results are: 1), All models yield a low-pass filtering effect, that is, a spike-width increase with increasing distance from soma. 2), A neuron's extracellular spike amplitude is seen to be approximately proportional to the sum of the dendritic cross-sectional areas of all dendritic branches connected to the soma. Thus, neurons with many, thick dendrites connected to soma will produce large amplitude spikes, and therefore have the largest radius of visibility. 3), The spike shape and amplitude are found to be dependent on the membrane capacitance and axial resistivity, but not on the membrane resistivity. 4), The spike-amplitude decay with distance r is found to depend on dendritic morphology, and is decaying as 1/r(n) with 1 or= 2 far away.
          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          Estimating the spatial range of local field potentials in a cortical population model

            Bookmark

            Author and article information

            Affiliations
            [1 ]Department of Neurophysiology, Nencki Institute of Experimental Biology, Warsaw, 02-093, Poland
            [2 ]Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, 1432, Norway
            Contributors
            Conference
            BMC Neurosci
            BMC Neuroscience
            BioMed Central
            1471-2202
            2011
            18 July 2011
            : 12
            : Suppl 1
            : P88
            3240559
            1471-2202-12-S1-P88
            10.1186/1471-2202-12-S1-P88
            Copyright ©2011 Lindén et al; licensee BioMed Central Ltd.

            This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

            Twentieth Annual Computational Neuroscience Meeting: CNS*2011
            Stockholm, Sweden
            23-28 July 2011
            Categories
            Poster Presentation

            Neurosciences

            Comments

            Comment on this article