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5G Radio-Frequency-Electromagnetic-Field Effects on the Human Sleep Electroencephalogram: A Randomized Controlled Study in CACNA1C Genotyped Volunteers

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Authors not listed · 2025

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5G radiation at 3.6 GHz measurably alters brain wave patterns during sleep in genetically susceptible individuals.

Plain English Summary

Summary written for general audiences

Swiss researchers exposed 34 people to 5G signals (3.6 GHz and 700 MHz) for 30 minutes before sleep and monitored their brain waves during sleep. They found that people with a specific genetic variant showed altered brain wave patterns (faster sleep spindles) only when exposed to 3.6 GHz 5G radiation. This suggests that genetic differences may determine how sensitive individuals are to 5G's effects on brain activity during sleep.

Why This Matters

This study breaks important new ground by being the first to examine 5G's effects on human sleep brain activity, and the findings are concerning. The fact that 3.6 GHz 5G signals altered sleep spindle frequencies in genetically susceptible individuals suggests that our brains respond measurably to this newest generation of wireless technology. What makes this particularly relevant is that 3.6 GHz sits squarely in the mid-band 5G frequencies that carriers are rapidly deploying across urban areas for enhanced coverage and speed.

The genetic component adds another troubling dimension. If roughly half the population carries genetic variants that make them more susceptible to RF-EMF effects on brain function, we're essentially conducting an uncontrolled experiment on millions of people. The researchers focused on calcium channel genes because RF-EMF can activate these channels, which play crucial roles in brain function and sleep quality. This mechanistic understanding strengthens the biological plausibility of the observed effects and suggests we need much more research before declaring 5G safe for widespread deployment.

Exposure Information

A logarithmic frequency spectrum from 10 Hz to 100 GHz showing where this study's 3.6 GHz, 700 MHz exposure sits relative to common EMF sources.Where This Frequency Sits on the EMF SpectrumELFVLFLF / MFHF / VHFUHFSHFmm10 Hz100 GHzThis study: 3.6 GHz, 700 MHzPower lines50/60 HzWiFi2.4 GHz5G mm28 GHzLogarithmic scale

Specific exposure levels were not quantified in this study.

Cite This Study
Unknown (2025). 5G Radio-Frequency-Electromagnetic-Field Effects on the Human Sleep Electroencephalogram: A Randomized Controlled Study in CACNA1C Genotyped Volunteers.
Show BibTeX
@article{5g_radio_frequency_electromagnetic_field_effects_on_the_human_sleep_electroencephalogram_a_randomized_controlled_study_in_cacna1c_genotyped_volunteers_ce3505,
  author = {Unknown},
  title = {5G Radio-Frequency-Electromagnetic-Field Effects on the Human Sleep Electroencephalogram: A Randomized Controlled Study in CACNA1C Genotyped Volunteers},
  year = {2025},
  doi = {10.1016/j.neuroimage.2025.121340},
  
}
DOI: 10.1016/j.neuroimage.2025.121340PubMed: 40541756

Quick Questions About This Study

Yes, this study found that 30-minute exposure to 3.6 GHz 5G radiation before sleep caused faster sleep spindle frequencies in people with specific genetic variants. The 700 MHz 5G signal showed no such effects, suggesting frequency-specific impacts.
CACNA1C encodes calcium channels that RF-EMF can activate. People with the T/C variant of this gene showed altered brain waves after 3.6 GHz exposure, while T/T carriers didn't, suggesting genetic susceptibility determines individual EMF sensitivity.
No, only 3.6 GHz 5G caused measurable brain wave changes, while 700 MHz showed no effects. This suggests that higher frequency 5G signals may be more biologically active than lower frequency bands currently in use.
Participants received 30 minutes of 5G exposure immediately before sleep. The fact that this brief pre-sleep exposure altered brain wave patterns throughout the night suggests the effects persist beyond the exposure period.
This study included 44% T/C carriers who showed 5G sensitivity versus 56% T/T carriers who didn't. While sample sizes were small, this suggests a substantial portion of the population may be genetically predisposed to 5G brain effects.