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A Model of Spatial Reach in LFP Recordings

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Hippocampal Microcircuits

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI))

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Abstract

The measurement of local field potentials (LFP), the low-frequency part of extracellularly recorded potentials, is one of the most commonly used methods for probing hippocampal and cortical activity in vivo. It offers the possibility to monitor the activity of many neurons close to the recording electrode simultaneously but has the limitation that it may be difficult to interpret and relate to the underlying neuronal activity. The recording electrode picks up activity from proximal neurons, but what about more distant neurons? An important piece of information for a correct interpretation of the LFP is to decide the size of the tissue that substantially contributes to the LFP, i.e., the reach of the LFP signal. In this chapter we present a simple model that describes how population geometry, spatial decay of single-cell LFP contributions, and correlation between LFP sources determine the relation between LFP amplitude and population size and use it to study the spatial reach of the LFP. The model can also be used to study different frequency bands of the LFP separately as well as the spatial decay outside the active neuronal population.

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Acknowledgements

This work was done with financial support from the Danish Council for Independent Research and FP7 Marie Curie Actions – COFUND (grant id: DFF – 1330-00226), the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 604102 (Human Brain Project, HBP) and grant agreement 269912 (BrainScaleS), the Helmholtz Association through the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” (SMHB), Jülich Aachen Research Alliance (JARA), and the Research Council of Norway (NFR, through ISP, NOTUR -NN4661K).

Author information

Authors and Affiliations

  1. Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark

    Henrik Lindén

  2. Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany

    Tom Tetzlaff, Sonja Grün & Markus Diesmann

  3. Department of Neurophysiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland

    Szymon Łeski

  4. Letten Centre and GliaLab, Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway

    Klas H. Pettersen

  5. Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany

    Sonja Grün

  6. Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, and Department of Physics, Faculty 1, RWTH Aachen University, Aachen, Germany

    Markus Diesmann

  7. Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

    Gaute T. Einevoll

  8. Department of Physics, University of Oslo, Oslo, Norway

    Gaute T. Einevoll

Authors
  1. Henrik Lindén
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  2. Tom Tetzlaff
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  3. Szymon Łeski
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  4. Klas H. Pettersen
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  5. Sonja Grün
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  6. Markus Diesmann
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  7. Gaute T. Einevoll
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Corresponding author

Correspondence to Henrik Lindén .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Lincoln, Lincoln, UK

    Vassilis Cutsuridis

  2. School of Natural Sciences, Department of Computing Science and Mathematics, University of Stirling, Stirling, UK

    Bruce P. Graham

  3. Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK

    Stuart Cobb

  4. Institute for Integrative Neuroanatomy, Charité – Universitätsmedizin Berlin, Berlin, Germany

    Imre Vida

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Lindén, H. et al. (2018). A Model of Spatial Reach in LFP Recordings. In: Cutsuridis, V., Graham, B., Cobb, S., Vida, I. (eds) Hippocampal Microcircuits. Springer Series in Computational Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-319-99103-0_13

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