Volume 12 Supplement 1

Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access

High-resolution mapping of single neurons provides insight into neuron structure and LFP generation

  • Patrick Dini1, 2, 3Email author,
  • Maxime Ambard1,
  • Ulrich Egert1, 3,
  • Urs Frey4 and
  • Andreas Hierlemann4
BMC Neuroscience201112(Suppl 1):P75

DOI: 10.1186/1471-2202-12-S1-P75

Published: 18 July 2011

Recent modeling [1] has suggested that the spatial structure of single neurons, especially the orientation and the shape of their dendritic trees, is of great importance in the understanding of the properties of the LFP generated (for example, a low-pass filtering effect has been shown in remote neurites [2]). In order to test these predictions, high-density microelectrode arrays (MEAs) featuring 11'011 electrodes are a valuable tool [3]. They provide detailed information about the external electrical field potentials of cultured neurons, from which the relevant information about single neurons properties must be extracted. We developed an on-line software allowing us to track neurites of single neurons (Figure 1A-K, footprint of a neuron), which provides information about their spatial structure and their activity dynamics leading to predictions on their morphology (Figure 1L). These allow us to elucidate additional properties of LFP generation, such as, multi-polar potentials related to the morphology of the studied cell. Moreover, reconstruction of the morphology of different cells was performed based on footprints and compared with imaging from GFP-stained neural cultures.

Figure 1



The group of the Prof. Hierlemann for providing the MEAs and the support.

Funded by the German BMBF (FKZ 01GQ0420 & FKZ 01GQ0830) and by the EC (NEURO, No. 12788)

Authors’ Affiliations

Bernstein Center Freiburg, Albert-Ludwigs-University Freiburg
Institute of Biology III, Albert-Ludwigs-University Freiburg
Biomicrotechnology, Department of Microsystems Engineering, Albert-Ludwigs-University Freiburg
Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich


  1. Einevoll GT, Wojcik DK, Destexhe A: Modeling extracellular potentials. J Comput Neurosci. 2010, 29 (3): 367-9. 10.1007/s10827-010-0283-y.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Linden H, Pettersen KH, Einevoll GT: Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. J Comput Neurosci. 2010, 29 (3): 423-44. 10.1007/s10827-010-0245-4. Epub 2010 May 26View ArticlePubMedGoogle Scholar
  3. Frey U, Egert U, Heer F, Hafizovic S, Hierlemann A: Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices. Biosens Bioelectron. 2009, 24 (7): 2191-8. 10.1016/j.bios.2008.11.028.View ArticlePubMedGoogle Scholar


© Dini et al; licensee BioMed Central Ltd. 2011

This article is published under license to 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.