The effect of mobile phone electromagnetic fields on the human resting state wake EEG and event-
Abstract
The effect of mobile phone electromagnetic fields on the human resting state wake EEG and event- related potential: A systematic review and meta-analysis Prins AC, Baas K, van der Meer JN, Jacobs M, Nederveen AJ. The effect of mobile phone electromagnetic fields on the human resting state wake EEG and event-related potential: A systematic review and meta- analysis. Bioelectromagnetics. 2024 Nov 22. doi: 10.1002/bem.22531. Abstract The rapid growth of mobile phone usage and its use of radiofrequency electromagnetic fields (RF-EMF) have raised concerns about potential health risks. Researchers have conducted studies to examine the effects of RF-EMF on the brain using electroencephalography (EEG). We conducted a systematic quality assessment and meta-analysis of published research in this field to establish high-quality studies as references for future protocols. The electronic search yielded 244 records from which a total of 51 studies were included in the review after excluding studies based on study design, and data or report availability. Of these 51 studies, 31 (61%) focused on resting state wake EEG and 20 (39%) on event- related potentials (ERP). None of the 51 studies were free from risk of bias. From the 51 included studies, we were able to use seven studies to create three different groups for meta-analysis for resting state wake EEG and five studies to create 10 different groups for meta-analysis for ERP. Per group the number of studies varies from 1 to 5. Our procedure is the first systematic quality assessment in this field and revealed three important findings. First, there is evidence of an effect on the EEG of a 2G protocol using an eyes-open condition. Second, we did not find evidence for EEG effects during task performance. This suggests that the impact of EMF during task performance is less pronounced compared to the resting state condition. Third, this meta-analysis shows that the field is unable to create an evidence base for most comparisons due to heterogeneity. We therefore advise that all future studies are double-blind in nature, adhere to the methodological standard of randomized experiments, and publish their protocols first. Open access paper: onlinelibrary.wiley.com
AI evidence extraction
Main findings
This systematic review included 51 studies of mobile phone RF-EMF effects on human EEG/ERP; none were judged free from risk of bias. The authors report evidence of an effect on EEG for a 2G protocol under an eyes-open resting condition, and did not find evidence for EEG effects during task performance. They also report that heterogeneity limited the ability to build an evidence base for most comparisons.
Outcomes measured
- Resting state wake EEG measures
- Event-related potentials (ERP)
Limitations
- None of the 51 included studies were free from risk of bias.
- Meta-analyses were based on a small subset of included studies (7 studies for resting-state EEG groups; 5 studies for ERP groups).
- High heterogeneity prevented evidence synthesis for most comparisons.
- Per meta-analysis group, the number of studies ranged from 1 to 5.
Suggested hubs
-
cell-phones
(0.95) Focuses on mobile phone RF-EMF exposure and brain electrophysiology outcomes.
View raw extracted JSON
{
"publication_year": 2024,
"study_type": "meta_analysis",
"exposure": {
"band": "RF",
"source": "mobile phone",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": "Humans (resting state wake EEG and event-related potential studies)",
"sample_size": null,
"outcomes": [
"Resting state wake EEG measures",
"Event-related potentials (ERP)"
],
"main_findings": "This systematic review included 51 studies of mobile phone RF-EMF effects on human EEG/ERP; none were judged free from risk of bias. The authors report evidence of an effect on EEG for a 2G protocol under an eyes-open resting condition, and did not find evidence for EEG effects during task performance. They also report that heterogeneity limited the ability to build an evidence base for most comparisons.",
"effect_direction": "mixed",
"limitations": [
"None of the 51 included studies were free from risk of bias.",
"Meta-analyses were based on a small subset of included studies (7 studies for resting-state EEG groups; 5 studies for ERP groups).",
"High heterogeneity prevented evidence synthesis for most comparisons.",
"Per meta-analysis group, the number of studies ranged from 1 to 5."
],
"evidence_strength": "high",
"confidence": 0.7800000000000000266453525910037569701671600341796875,
"peer_reviewed_likely": "yes",
"stance": "neutral",
"stance_confidence": 0.66000000000000003108624468950438313186168670654296875,
"summary": "This 2024 systematic review and meta-analysis assessed published studies on mobile phone RF-EMF effects on human resting-state wake EEG and event-related potentials. Fifty-one studies were included, and the authors judged that none were free from risk of bias. They report evidence of an EEG effect for a 2G protocol in an eyes-open resting condition, but did not find evidence for EEG effects during task performance, and note that heterogeneity limited conclusions for most comparisons.",
"key_points": [
"The review screened 244 records and included 51 studies after exclusions based on design and data/report availability.",
"Most included studies examined resting-state wake EEG (31/51), with the remainder focused on ERPs (20/51).",
"The authors report evidence of an EEG effect for a 2G protocol under eyes-open resting conditions.",
"The authors did not find evidence for EEG effects during task performance.",
"None of the included studies were assessed as free from risk of bias.",
"Only a subset of studies contributed to meta-analyses, and groups often contained few studies.",
"Heterogeneity was reported to prevent building an evidence base for most comparisons.",
"The authors recommend future studies be double-blind, randomized, and preregister protocols."
],
"categories": [
"Cell Phones",
"RF-EMF",
"Neurophysiology",
"EEG/ERP",
"Systematic Reviews & Meta-Analyses"
],
"tags": [
"Mobile Phones",
"RF-EMF",
"Resting-State EEG",
"Event-Related Potentials",
"2G",
"Eyes-Open Condition",
"Task Performance",
"Risk Of Bias",
"Heterogeneity",
"Double-Blind",
"Randomized Experiments",
"Protocol Preregistration"
],
"keywords": [
"mobile phone",
"radiofrequency electromagnetic fields",
"RF-EMF",
"EEG",
"resting state",
"wake EEG",
"event-related potential",
"ERP",
"systematic review",
"meta-analysis",
"2G",
"risk of bias"
],
"suggested_hubs": [
{
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"weight": 0.9499999999999999555910790149937383830547332763671875,
"reason": "Focuses on mobile phone RF-EMF exposure and brain electrophysiology outcomes."
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"social": {
"tweet": "Systematic review/meta-analysis (2024) of mobile phone RF-EMF and human EEG/ERP: 51 studies included, none free from risk of bias. Reports evidence of an EEG effect for a 2G protocol in eyes-open resting state, but no evidence for EEG effects during task performance; heterogeneity limited most comparisons.",
"facebook": "A 2024 systematic review and meta-analysis examined mobile phone RF-EMF effects on human resting-state EEG and event-related potentials. It included 51 studies (none free from risk of bias) and reported evidence of an EEG effect for a 2G protocol in an eyes-open resting condition, but no evidence for EEG effects during task performance; heterogeneity limited conclusions for many comparisons.",
"linkedin": "Prins et al. (Bioelectromagnetics, 2024) systematically reviewed and meta-analyzed studies on mobile phone RF-EMF effects on human resting-state EEG and ERPs. Of 51 included studies, none were free from risk of bias; evidence was reported for an EEG effect with a 2G protocol in eyes-open resting state, while no evidence was found for EEG effects during task performance, and heterogeneity constrained synthesis across most comparisons."
}
}
AI can be wrong. Always verify against the paper.
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