Cited by 913Neural dynamics and brain functionNeuroscience and Neuropharmacology ResearchNeuroscience and Neural Engineering

Endogenous electric fields may guide neocortical network activity

Open access
Fröhlich, Flavio, McCormick, David A.·2010·Neuron

Abstract

Local field potentials and the underlying endogenous electric fields (EFs) are traditionally considered to be epiphenomena of structured neuronal network activity. Recently, however, externally applied EFs have been shown to modulate pharmacologically evoked network activity in rodent hippocampus. In contrast, very little is known about the role of endogenous EFs during physiological activity states in neocortex. Here, we used the neocortical slow oscillation in vitro as a model system to show that weak sinusoidal and naturalistic EFs enhance and entrain physiological neocortical network activity with an amplitude threshold within the range of in vivo endogenous field strengths. Modulation of network activity by positive and negative feedback fields based on the network activity in real-time provide direct evidence for a feedback loop between neuronal activity and endogenous EF. This significant susceptibility of active networks to EFs that only cause small changes in membrane potential in individual neurons suggests that endogenous EFs could guide neocortical network activity.

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Registry

Crossref · 10.1016/j.neuron.2010.06.005

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  • Field gradients of 2-4 mV/mm appear necessary to influence neural firing, similar to the strength of endogenous brain EM fields detectable by EEG.

    “Field gradients of 2–4 mV/mm appear to be necessary to influence neural firing (Frohlich and McCormick, 2010) which is similar to the strength of the endogenous brain EM fields (McFadden J., 2002) that can be detected by EEG.”

    From Consciousness: Matter or EMF? (2023) · cites this paper as Frohlich and McCormick, 2010

    The Results section reports that 2 and 4 mV/mm fields increased firing in experimentally driven neurons and that constant fields at those strengths altered slow oscillations, whereas 0.5 and 1 mV/mm constant fields did not significantly alter the oscillation period. But the paper does not establish 2–4 mV/mm as necessary to influence neural firing generally: its Results also report effects on neural activity from 1 mV/mm oscillatory fields. The comparison with EEG-detectable fields is attached to a different citation in the citing sentence. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • External EM fields of similar strength and structure as endogenous EM fields influence neural firing patterns in brain slices.

    “experiments have demonstrated that external fields of similar strength and structure as endogenous EM fields do influence neural firing patterns in brain slices (Frohlich and McCormick, 2010; Anastassiou et al., 2011).”

    From Consciousness: Matter or EMF? (2023) · cites this paper as Frohlich and McCormick, 2010

  • Endogenous electric fields provide a positive feedback loop that entrains oscillatory networks in neocortex.

    “These results led the researchers to propose that the endogenous EFs provide a positive feedback loop that entrains oscillatory networks.”

    From The electromagnetic will (2021) · cites this paper as [68]

  • Weak external electric fields can entrain neocortical slow oscillations in ferret visual cortex slices.

    “Application of the external field caused small membrane depolarizations (~1 mV drop in the transmembrane voltage) in individual neurones and accelerated neocortical slow oscillations in the in vitro slices which made them more periodic, effectively entraining the slow oscillation.”

    From The electromagnetic will (2021) · cites this paper as [68]

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Research works printed but not linked: 1

  1. Berens P 2009 CircStat: A MATLAB Toolbox for Circular Statistics Journal of Statistical Software 1 21

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Authors
Fröhlich, F., & McCormick, D. A.
Affiliations
Yale University (US)
Corresponding author
McCormick, David A.
Venue
Neuron
Publisher
Elsevier BV
Published
2010-07
Volume
67
Issue
1
Pages
129-143
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2008263877
Cited by
913
References
71
Citations by year
2026: 61 · 2025: 76 · 2024: 57 · 2023: 50 · 2022: 55 · 2021: 58 · 2020: 71 · 2019: 60 · 2018: 62 · 2017: 63 · 2016: 66 · 2015: 59 · 2014: 49 · 2013: 52 · 2012: 38
FWCI
24.37
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of Neurological Disorders and Stroke (R37NS026143)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
endogenous electric fields, slow oscillations, local field potentials, feedback loops, neuronal activity, membrane potential
MeSH terms
Animals, Computer Simulation, Electric Stimulation, Evoked Potentials, Ferrets, Male, Models, Neurological, Nerve Net, Neurons, Oscillometry, Nonlinear Dynamics, Neocortex, In Vitro Techniques

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