Skip to main content

Local Field Potential, Synchrony of

Encyclopedia of Computational Neuroscience

Synonyms

Coherence of local field potentials; Coupling of local field potentials; Cross-correlation of local field potentials

Definition

Synchrony of local field potentials (LFP) is a neurophysiological property that represents the correlation of activity between simultaneously recorded networks. Its measurement indicates how tightly multiple local networks are coupled. LFP synchrony indicates a potential interaction between the recorded sites and a possible mechanism to facilitate synaptic transmission and network-to-network communication.

Detailed Description

The Neural Basis of Local Field Potentials

Local field potentials (LFPs) are the integrated electrical signals recorded from a local population of neurons. Each neuron’s intracellular membrane potential provides an indication of its excitability, its readiness to fire. Using low-impedance electrodes, small intracellular synaptic voltage fluctuations from a population of cells combine together into a spatiotemporally integrated...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Baccala LA, Sameshima K (1999) Directed coherence: a tool for exploring functional interactions among brain structures. In: Nicolelis MA (ed) Methods for neural ensemble recordings. CRC Press, Boca Raton, pp 179–192

    Google Scholar 

  • Buehlmann A, Deco G (2010) Optimal information transfer in the cortex through synchronization. PLoS Comput Biol 6(9)

    Google Scholar 

  • Cardin JA, Carlen M, Meletis K, Knoblich U, Zhang F, Deisseroth K, Tsai LH, Moore CI (2009) Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459:663–667

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Courtemanche R, Lamarre Y (2005) Local field potential oscillations in primate cerebellar cortex: synchronization with cerebral cortex during active and passive expectancy. J Neurophysiol 93:2039–2052

    Article  PubMed  Google Scholar 

  • Courtemanche R, Chabaud P, Lamarre Y (2009) Synchronization in primate cerebellar granule cell layer local field potentials: basic anisotropy and dynamic changes during active expectancy. Front Cell Neurosci 3:6

    Article  PubMed Central  PubMed  Google Scholar 

  • Engel AK, Singer W (2001) Temporal binding and the neural correlates of sensory awareness. Trends Cogn Sci 5:16–25

    Article  PubMed  Google Scholar 

  • Gerloff C (2002) Sensorimotor binding in the human brain. International Congress Series 1226. 97–107

    Google Scholar 

  • Hutcheon B, Yarom Y (2000) Resonance, oscillation and the intrinsic frequency preferences of neurons. Trends Neurosci 23:216–222

    Article  CAS  PubMed  Google Scholar 

  • Roelfsema PR, Engel AK, Konig P, Singer W (1997) Visuomotor integration is associated with zero time-lag synchronization among cortical areas. Nature 385:157–161

    Article  CAS  PubMed  Google Scholar 

  • Schroeder CE, Lakatos P (2009) Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci 32:9–18

    Article  CAS  PubMed  Google Scholar 

  • Traub RD, Whittington MA (2010) Cortical oscillations in health and disease. Oxford University Press, New York

    Book  Google Scholar 

  • Womelsdorf T, Schoffelen JM, Oostenveld R, Singer W, Desimone R, Engel AK, Fries P (2007) Modulation of neuronal interactions through neuronal synchronization. Science 316:1609–1612

    Article  CAS  PubMed  Google Scholar 

Further Reading

  • Buzsaki G (2006) Rhythms of the brain. Oxford University Press, New York

    Book  Google Scholar 

  • Schnitzler A, Gross J (2005) Normal and pathological oscillatory communication in the brain. Nat Rev Neurosci 6:285–296

    Article  CAS  PubMed  Google Scholar 

  • von der Marlsburg C, Phillips WA, Singer W (2010) Dynamic coordination in the brain: from neurons to mind. MIT Press, Cambridge, MA

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard Courtemanche Ph.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Frederick, A., Bourget-Murray, J., Courtemanche, R. (2014). Local Field Potential, Synchrony of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_731-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_731-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics

Chapter history

  1. Latest

    Local Field Potential, Synchrony of
    Published:
    18 June 2019

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_731-2

  2. Original

    Local Field Potential, Synchrony of
    Published:
    13 March 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_731-1