Endogenous electric fields may guide neocortical network activity
Open accessAbstract
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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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 measuredExternal 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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“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.”
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Analog Cognition and Consciousness
Miller, E. K., Brincat, S. L., & Roy, J. E. (2026) · The Journal of Neuroscience · doi:10.1523/jneurosci.0711-26.2026 · Cited by 4 · see citing works
“…applied weak fi elds modulate spiking, especially in tightly packed cortical and hippocampal circuits where the extracellular space is narrow and resistive (Radman et al., 2007; Fröhlich and McCormick, 2010; Anastassiou and Koch, 2015; Ru ffi ni et al., 2020; Pinotsis and Miller, 2023, 2026).”
- Authors
- Fröhlich, F., & McCormick, D. A.
- Affiliations
- Yale University (US)
- Corresponding author
- McCormick, David A.
- ORCID
- McCormick, David A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 67
- Issue
- 1
- Pages
- 129-143
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3139922
- 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
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1112 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- 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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