Evidence map›Paper›PMID 25346660›Full record

ArticleFrontiers in cellular neuroscience2014

Effects of low frequency electric fields on synaptic integration in hippocampal CA1 pyramidal neurons: implications for power line emissions.

Francesco Cavarretta, Nicholas T Carnevale, Domenico Tegolo, Michele Migliore

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  4. Article
  5. Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023
    Article
  6. Article
  7. Article
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  10. IJournal of neurophysiology · 2018
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Francesco CavarrettaInstitute of Biophysics, National Research Council Palermo, Italy ; Department of Mathematics and Informatics, University of Palermo Palermo, Italy.
Nicholas T CarnevaleDepartment of Neurobiology, Yale University School of Medicine New Haven, CT, USA.
Domenico TegoloDepartment of Mathematics and Informatics, University of Palermo Palermo, Italy.
Michele MiglioreInstitute of Biophysics, National Research Council Palermo, Italy.

Funding

COMPUTER METHODS FOR PHYSIOLOGICAL PROBLEMSR01NS011613 · NINDS · YALE UNIVERSITY · PI MICHAEL L HINES, Robert A. McDougal · 1985 to 2026
$10.4M
NINDS NIH HHS R01 NS011613
6 · The paper itself

Abstract

The possible cognitive effects of low frequency external electric fields (EFs), such as those generated by power lines, are poorly understood. Their functional consequences for mechanisms at the single neuron level are very difficult to study and identify experimentally, especially in vivo. The major open problem is that experimental investigations on humans have given inconsistent or contradictory results, making it difficult to estimate the possible effects of external low frequency electric fields on cognitive functions. Here we investigate this issue with realistic models of hippocampal CA1 pyramidal neurons. Our findings suggest how and why EFs, with environmentally observed frequencies and intensities far lower than what is required for direct neural activation, can perturb dendritic signal processing and somatic firing of neurons that are crucially involved in cognitive tasks such as learning and memory. These results show that individual neuronal morphology, ion channel dendritic distribution, and alignment with the electric field are major determinants of overall effects, and provide a physiologically plausible explanation of why experimental findings can appear to be small and difficult to reproduce, yet deserve serious consideration.

Indexed as

extracellular fieldhippocampal CA1 neuronrealistic modelsimulation

Identifiers

PMID25346660
PMCPMC4191432

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.