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Local Field Potential, Relationship to Unit Activity

Encyclopedia of Computational Neuroscience

Synonyms

Electroencephalogram, relation to unit activity; Local field potential, contamination by spikes; Local field potential, spike contribution; Local field potential, spike-triggered average

Definition

Unit activity usually refers to timing of spikes elicited by individual neurons (single-unit activity, SUA) or local (r < 140 μm) population of neurons (multiunit activity, MUA; Buzsáki 2004). Although local field potential (LFP) reflects both subthreshold and spiking activities that are summed over larger population of neurons (r < 450 μm; Berens et al. 2008), usually it does not display discriminable spikes. Nevertheless, the amplitude of high-frequency LFP (>40 Hz) often correlates with population firing rate, whereas the phase and amplitude of low-frequency LFP (<10 Hz) modulate this relationship. The LFP–spike relation is very sensitive to neuronal correlations – at high synchrony levels, neurons produce macroscopic spikes visible in the raw LFP signal (“population spikes”).

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References

  • Andersen P, Bliss T, Skrede K (1971) Unit analysis of hippocampal population spikes. Exp Brain Res 13:208–221

    CAS  PubMed  Google Scholar 

  • Baker S, Curio G, Lemon R (2003) EEG oscillations at 600 Hz are macroscopic markers for cortical spike bursts. J Physiol 550:529–534

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Bazelot M, Dinocourt C, Cohen I, Miles R (2010) Unitary inhibitory field potentials in the CA3 region of rat hippocampus. J Physiol (Lond) 588:2077–2090

    Article  CAS  Google Scholar 

  • Bedard C, Destexhe A (2013) Reply to Gratiy et al. J Neurophysiol 109:1683

    Article  PubMed  Google Scholar 

  • Bédard C, Kröger H, Destexhe A (2004) Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophys J 86:1829–1842

    Article  PubMed Central  PubMed  Google Scholar 

  • Belitski A, Gretton A, Magri C, Murayama Y, Montemurro MA, Logothetis NK, Panzeri S (2008) Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information. J Neurosci 28:5696–5709

    Article  CAS  PubMed  Google Scholar 

  • Belluscio MA, Mizuseki K, Schmidt R, Kempter R, Buzsáki G (2012) Cross-frequency phase-phase coupling between θ and γ oscillations in the hippocampus. J Neurosci 32:423–435

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Berens P, Keliris GA, Ecker AS, Logothetis NK, Tolias AS (2008) Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex. Front Syst Neurosci 2:2

    Article  PubMed Central  PubMed  Google Scholar 

  • Burns SP, Xing D, Shapley RM (2010) Comparisons of the dynamics of local field potential and multiunit activity signals in macaque visual cortex. J Neurosci 30:13739–13749

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Buzsáki G (2004) Large-scale recording of neuronal ensembles. Nat Neurosci 7:446–451

    Article  PubMed  Google Scholar 

  • Buzsáki G, Anastassiou CA, Koch C (2012) The origin of extracellular fields and currents–EEG, ECoG, LFP and spikes. Nat Rev Neurosci 13:407–420

    Article  PubMed  Google Scholar 

  • Denker M, Roux S, Lindén H, Diesmann M, Riehle A, Grün S (2011) The local field potential reflects surplus spike synchrony. Cereb Cortex 21:2681–2695

    Article  PubMed Central  PubMed  Google Scholar 

  • Destexhe A (1998) Spike-and-wave oscillations based on the properties of GABAB receptors. J Neurosci 18:9099–9111

    CAS  PubMed  Google Scholar 

  • Destexhe A, Bedard C (2012) Do neurons generate monopolar current sources? J Neurophysiol 108:953–955

    Article  PubMed  Google Scholar 

  • 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 19:4595–4608

    CAS  PubMed  Google Scholar 

  • Gratiy SL, Pettersen KH, Einevoll GT, Dale AM (2013) Pitfalls in the interpretation of multielectrode data: on the infeasibility of the neuronal current-source monopoles. J Neurophysiol 109:1681–1682

    Article  PubMed Central  PubMed  Google Scholar 

  • Gray CM, Singer W (1989) Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proc Natl Acad Sci U S A 86:1698–1702

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Jewett DL, Deupree DL, Bommannan D (1990) Far-field potentials generated by action potentials of isolated frog sciatic nerves in a spherical volume. Electroencephalogr Clin Neurophysiol 75:105–117

    Article  CAS  PubMed  Google Scholar 

  • Jones MS, MacDonald KD, Choi B, Dudek FE, Barth DS (2000) Intracellular correlates of fast (>200 Hz) electrical oscillations in rat somatosensory cortex. J Neurophysiol 84:1505–1518

    CAS  PubMed  Google Scholar 

  • Kuokkanen PT, Wagner H, Ashida G, Carr CE, Kempter R (2010) On the origin of the extracellular field potential in the nucleus laminaris of the barn owl (Tyto alba). J Neurophysiol 104:2274–2290

    Article  PubMed Central  PubMed  Google Scholar 

  • Li CT, Poo MM, Dan Y (2009) Burst spiking of a single cortical neuron modifies global brain state. Science 324:643–646

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Mazzoni A, Whittingstall K, Brunel N, Logothetis NK, Panzeri S (2010) Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. Neuroimage 52:956–972

    Article  PubMed  Google Scholar 

  • Murakami S, Okada Y (2006) Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals. J Physiol 575:925–936

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Murakami S, Hirose A, Okada YC (2003) Contribution of ionic currents to magnetoencephalography (MEG) and electroencephalography (EEG) signals generated by guinea-pig CA3 slices. J Physiol (Lond) 553:975–985

    Article  CAS  Google Scholar 

  • Nauhaus I, Busse L, Carandini M, Ringach DL (2009) Stimulus contrast modulates functional connectivity in visual cortex. Nat Neurosci 12:70–76

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Nelson MJ, Bosch C, Venance L, Pouget P (2013) Microscale inhomogeneity of brain tissue distorts electrical signal propagation. J Neurosci 33:2821–2827

    Article  CAS  PubMed  Google Scholar 

  • Okun M, Naim A, Lampl I (2010) The subthreshold relation between cortical local field potential and neuronal firing unveiled by intracellular recordings in awake rats. J Neurosci 30:4440–4448

    Article  CAS  PubMed  Google Scholar 

  • Rasch MJ, Gretton A, Murayama Y, Maass W, Logothetis NK (2008) Inferring spike trains from local field potentials. J Neurophysiol 99:1461–1476

    Article  PubMed  Google Scholar 

  • Ray S, Crone NE, Niebur E, Franaszczuk PJ, Hsiao SS (2008) Neural correlates of high-gamma oscillations (60–200 Hz) in macaque local field potentials and their potential implications in electrocorticography. J Neurosci 28:11526–11536

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Reimann MW, Anastassiou CA, Perin R, Hill SL, Markram H, Koch C (2013) A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents. Neuron 79:375–390

    Article  CAS  PubMed  Google Scholar 

  • Riera JJ, Ogawa T, Goto T, Sumiyoshi A, Nonaka H, Evans A, Miyakawa H, Kawashima R (2012) Pitfalls in the dipolar model for the neocortical EEG sources. J Neurophysiol 108:956–975

    Article  PubMed  Google Scholar 

  • Telenczuk B, Baker SN, Herz AVM, Curio G (2011) High-frequency EEG covaries with spike burst patterns detected in cortical neurons. J Neurophysiol 105:2951–2959

    Article  PubMed Central  PubMed  Google Scholar 

  • Whittingstall K, Logothetis NK (2009) Frequency-band coupling in surface EEG reflects spiking activity in monkey visual cortex. Neuron 64:281–289

    Article  CAS  PubMed  Google Scholar 

  • Zanos TP, Mineault PJ, Pack CC (2011) Removal of spurious correlations between spikes and local field potentials. J Neurophysiol 105:474–486

    Article  PubMed  Google Scholar 

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Correspondence to Bartosz Teleńczuk .

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Teleńczuk, B., Destexhe, A. (2014). Local Field Potential, Relationship to Unit Activity. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_543-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_543-1

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Chapter history

  1. Latest

    Local Field Potential, Relationship to Unit Activity
    Published:
    10 November 2020

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_543-2

  2. Original

    Local Field Potential, Relationship to Unit Activity
    Published:
    13 March 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_543-1