5G radio-frequency-electromagnetic-field effects on the human sleep electroencephalogram: A randomized controlled study in CACNA1C genotyped volunteers
Abstract
Category: Neuroscience Tags: 5G, RF-EMF, sleep, EEG, CACNA1C, genetics, spindle activity DOI: 10.1016/j.neuroimage.2025.121340 URL: sciencedirect.com Overview The adoption of 5G technology in mobile communications has generated concerns over its health implications. Previous research on earlier RF-EMF generations noted increases in electroencephalographic (EEG) spindle frequency in non-rapid-eye-movement (NREM) sleep, but the impact of 5G RF-EMF is not well understood. Notably, these fields may activate L-type voltage-gated calcium channels (LTCC), which are linked to both sleep regulation and EEG patterns. Objective This study examines whether a genetic variant (rs7304986) in the CACNA1C gene—which encodes the a1C subunit of LTCC—affects individual sensitivity to 5G RF-EMF on sleep spindle activity during NREM sleep. Methods - 34 volunteers, genotyped for rs7304986 (15 T/C and 19 matched T/T carriers) - Double-blind, sham-controlled exposure to two 5G RF-EMF signals (3.6 GHz and 700 MHz) for 30 minutes before sleep - Sleep spindle activity monitored using high-density EEG and the FOOOF algorithm Findings - T/C genotype carriers experienced longer sleep latency than T/T carriers - Significant interaction between RF-EMF exposure and CACNA1C genotype found - Exposure to 3.6 GHz in T/C carriers led to a faster spindle center frequency in central, parietal, and occipital regions of the brain, compared to sham Conclusion Exposure to 3.6 GHz 5G RF-EMF alters spindle center frequency during NREM sleep in a manner dependent on CACNA1C genotype, with particular sensitivity for T/C carriers. This implicates LTCC involvement in physiological responses to RF-EMF, emphasizing the necessity for sustained research on how 5G exposure might affect brain health. This study demonstrates that health risks from electromagnetic fields, especially in genetically susceptible populations, merit close consideration.
AI evidence extraction
Main findings
A significant interaction between RF-EMF exposure and CACNA1C rs7304986 genotype was observed: only 3.6 GHz exposure in T/C carriers induced a faster spindle center frequency in central, parietal, and occipital cortex compared with sham. T/C carriers reported longer sleep latency than T/T carriers.
Outcomes measured
- Sleep EEG spindle activity in NREM sleep (spindle center frequency; 11–16 Hz range referenced)
- Sleep latency (self-reported)
Limitations
- Exposure metrics such as SAR were not reported in the abstract
- Short exposure duration (30 min) and acute outcomes only
- Findings were genotype-dependent and specific to 3.6 GHz; generalizability to other genotypes/signals is unclear based on abstract
- Sample size relatively small (n=34)
Suggested hubs
-
5g-policy
(0.62) Study directly tests physiological effects of 5G RF-EMF signals (3.6 GHz and 700 MHz) in humans.
View raw extracted JSON
{
"study_type": "randomized_trial",
"exposure": {
"band": "RF",
"source": "5G mobile telecommunications signal (standardized left-hemisphere exposure)",
"frequency_mhz": null,
"sar_wkg": null,
"duration": "30 min before sleep"
},
"population": "Genotyped healthy volunteers (CACNA1C rs7304986; T/C and matched T/T carriers)",
"sample_size": 34,
"outcomes": [
"Sleep EEG spindle activity in NREM sleep (spindle center frequency; 11–16 Hz range referenced)",
"Sleep latency (self-reported)"
],
"main_findings": "A significant interaction between RF-EMF exposure and CACNA1C rs7304986 genotype was observed: only 3.6 GHz exposure in T/C carriers induced a faster spindle center frequency in central, parietal, and occipital cortex compared with sham. T/C carriers reported longer sleep latency than T/T carriers.",
"effect_direction": "mixed",
"limitations": [
"Exposure metrics such as SAR were not reported in the abstract",
"Short exposure duration (30 min) and acute outcomes only",
"Findings were genotype-dependent and specific to 3.6 GHz; generalizability to other genotypes/signals is unclear based on abstract",
"Sample size relatively small (n=34)"
],
"evidence_strength": "moderate",
"confidence": 0.7800000000000000266453525910037569701671600341796875,
"peer_reviewed_likely": "yes",
"keywords": [
"5G",
"RF-EMF",
"sleep",
"EEG",
"NREM",
"sleep spindles",
"CACNA1C",
"rs7304986",
"LTCC",
"double-blind",
"sham-controlled",
"high-density EEG",
"FOOOF"
],
"suggested_hubs": [
{
"slug": "5g-policy",
"weight": 0.61999999999999999555910790149937383830547332763671875,
"reason": "Study directly tests physiological effects of 5G RF-EMF signals (3.6 GHz and 700 MHz) in humans."
}
]
}
AI can be wrong. Always verify against the paper.
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