Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Local Field Potentials (LFP)

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_548-1

Definition

The local field potential (LFP) is the electric potential in the extracellular medium around neurons. The LFP is signal available in many recording configurations, ranging from single-electrode recordings to multielectrode arrays. The LFP has specific spatial and temporal properties and also depends on the brain state. Different classes of models are used to model the LFP.

Detailed Description

Introduction

The local field potential (LFP) is the electric potential in the extracellular space around neurons and can be recorded using different types of microelectrodes (metal, silicon, or glass micropipettes). These characteristics differ from the electroencephalogram (EEG), which is recorded at the surface of the scalp with macro-electrodes. It was shown that the LFP samples relatively localized populations of neurons, as these signals can be very different for electrodes separated by 1 mm (Destexhe et al. 1999) or even by a few hundred microns (Katzner et al. 2009). In...

Keywords

Slow Wave Ionic Diffusion Extracellular Medium Local Field Potential Brain State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access.

References

  1. Bazhenov M, Lonjers P, Skorheim P, Bedard C, Destexhe A (2011) Non-homogeneous extracellular resistivity affects the current-source density profiles of up-down state oscillations. Phil Trans Roy Soc A 369:3802–3819CrossRefGoogle Scholar
  2. Bédard C, Destexhe A (2009) Macroscopic models of local field potentials and the apparent 1/f noise in brain activity. Biophys J 96:2589–2603PubMedCentralPubMedCrossRefGoogle Scholar
  3. Bédard C, Destexhe A (2011) A generalized theory for current-source density analysis in brain tissue. Phys Rev E 84:041909CrossRefGoogle Scholar
  4. Bédard C, Destexhe A (2012) Modeling local field potentials and their interaction with the extracellular medium. In: Brette R, Destexhe A (eds) Handbook of neural activity measurement. Cambridge University Press, Cambridge, UK, pp 136–191CrossRefGoogle Scholar
  5. Bédard C, Kröger H, Destexhe A (2004) Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophys J 86:1829–1842PubMedCentralPubMedCrossRefGoogle Scholar
  6. Bédard C, Kröger H, Destexhe A (2006a) Does the 1/f frequency scaling of brain signals reflect self-organized critical states? Phys Rev Lett 97:118102PubMedCrossRefGoogle Scholar
  7. Bédard C, Kröger H, Destexhe A (2006b) Model of low-pass filtering of local field potentials in brain tissue. Phys Rev E 73:051911CrossRefGoogle Scholar
  8. Bédard C, Rodrigues S, Roy N, Contreras D, Destexhe A (2010) Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials. J Comput Neurosci 29:389–403PubMedCrossRefGoogle Scholar
  9. Beggs J, Plenz D (2003) Neuronal avalanches in neocortical circuits. J Neurosci 23:11167–11177PubMedGoogle Scholar
  10. Bhattacharya J, Petsche H (2001) Universality in the brain while listening to music. Proc Biol Sci 268:2423–2433PubMedCentralPubMedCrossRefGoogle Scholar
  11. Dehghani N, Bédard C, Cash SS, Halgren E, Destexhe A (2010) Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media. J Comput Neurosci 29:405–421PubMedCentralPubMedCrossRefGoogle Scholar
  12. Dehghani N, Hatsopoulos NG, Haga ZD, Parker RA, Greger B, Halgren E, Cash SS, Destexhe A (2012) Avalanche analysis from multi-electrode ensemble recordings in cat, monkey and human cerebral cortex during wakefulness and sleep. Front Physiol 3:302PubMedCentralPubMedCrossRefGoogle Scholar
  13. Destexhe A (1998) Spike-and-wave oscillations based on the properties of GABAB receptors. J Neurosci 18:9099–9111PubMedGoogle Scholar
  14. Destexhe A, Bédard C (2013) Local field potential. Scholarpedia, 8:10713. http://www.scholarpedia.org/article/Local_field_potential
  15. Destexhe A, Contreras D, Steriade M (1999) Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. J Neurosci 19:4595–4608PubMedGoogle Scholar
  16. Gabriel S, Lau RW, Gabriel C (1996) The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys Med Biol 41:2251–2269PubMedCrossRefGoogle Scholar
  17. Gold C, Henze DA, Koch C, Buzsaki G (2006) On the origin of the extracellular action potential waveform: a modeling study. J Neurophysiol 95:3113–3128PubMedCrossRefGoogle Scholar
  18. Holt GR, Koch C (1999) Electrical interactions via the extracellular potential near cell bodies. J Comput Neurosci 6:169–184PubMedCrossRefGoogle Scholar
  19. Jensen HJ (1998) Self-organized criticality. Emergent complex behavior in physical and biological systems. Cambridge University Press, Cambridge, UKCrossRefGoogle Scholar
  20. Katzner S, Nauhaus I, Benucci A, Bonin V, Ringach DL, Carandini M (2009) Local origin of field potentials in visual cortex. Neuron 61:35–41PubMedCentralPubMedCrossRefGoogle Scholar
  21. Linden H, Tetzlaff T, Potjans TC, Pettersen KH, Grun S, Diesmann M, Einevoll GT (2011) Modeling the spatial reach of the LFP. Neuron 72:859–872PubMedCrossRefGoogle Scholar
  22. Logothetis NK, Kayser C, Oeltermann A (2007) In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron 55:809–823PubMedCrossRefGoogle Scholar
  23. Milstein JN, Koch C (2008) Dynamic moment analysis of the extracellular electric field of a biologically realistic spiking neuron. Neural Comput 20:2070–2084PubMedCrossRefGoogle Scholar
  24. Niedermeyer E, Lopes da Silva F (eds) (1998) Electroencephalography, 4th edn. Williams and Wilkins, BaltimoreGoogle Scholar
  25. Novikov E, Novikov A, Shannahoff-Khalsa D, Schwartz B, Wright J (1997) Scale similar activity in the brain. Phys Rev E 56:R2387–R2389CrossRefGoogle Scholar
  26. Nunez PL, Srinivasan R (2005) Electric fields of the brain, 2nd edn. Oxford university press, Oxford, UKGoogle Scholar
  27. Pettersen KH, Einevoll GT (2008) Amplitude variability and extracellular low pass filtering of neuronal spikes. Biophys J 94:784–802PubMedCentralPubMedCrossRefGoogle Scholar
  28. Peyrache A, Dehghani N, Eskandar EN, Madsen JR, Anderson WS, Donoghue JS, Hochberg LR, Halgren E, Cash SS, Destexhe A (2012) Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep. Proc Natl Acad Sci U S A 109:1731–1736PubMedCentralPubMedCrossRefGoogle Scholar
  29. Pritchard WS (1992) The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram. Int J Neurosci 66:119–129PubMedGoogle Scholar
  30. Protopapas AD, Vanier M, Bower J (1998) Simulating large-scale networks of neurons. In: Koch C, Segev I (eds) Methods in neuronal modeling, 2nd edn. MIT Press, Cambridge, MA, pp 461–498Google Scholar
  31. Rall W, Shepherd GM (1968) Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb. J Neurophysiol 31:884–915PubMedGoogle Scholar
  32. Steriade M (2003) Neuronal substrates of sleep and epilepsy. Cambridge University Press, Cambridge, UKGoogle Scholar
  33. Steriade M, Timofeev I, Grenier F (2001) Natural waking and sleep states: a view from inside neocortical neurons. J Neurophysiol 85:1969–1985PubMedGoogle Scholar
  34. Wagner T, Eden U, Rushmore J, Russo CJ, Dipietro L, Fregni F, Simon S, Rotman S, Pitskel NB, Ramos-Estebanez C, Pascual-Leone A, Grodzinsky AJ, Zahn M, Valero-Cabre A (2014) Impact of brain tissue filtering on neurostimulation fields: a modeling study. NeuroImage 85:1048–1057PubMedCrossRefGoogle Scholar

Further Reading

  1. Brette R, Destexhe A (eds) (2012) Handbook of neural activity measurement. Cambridge University Press, Cambridge, UKGoogle Scholar
  2. Koch C, Segev I (eds) (1998) Methods in neuronal modeling, 2nd edn. MIT Press, Cambridge, MAGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Unit of Neuroscience Information and Complexity (UNIC)Centre national de la recherche scientifique (CNRS)Gif-sur-YvetteFrance