Mobile phone emission modulates interhemispheric functional coupling of EEG alpha rhythms
Vecchio F, Babiloni C, Ferreri F, Curcio G, Fini R, Del Percio C, Rossini PM · 2007
View Original AbstractGSM stimulation modulated interhemispheric frontal and temporal coherence at alpha2 and alpha3 bands compared to sham stimulation.
Plain English Summary
Ten subjects underwent two EEG recordings separated by one week in a crossover double-blind paradigm. The mobile phone was held on the left side of the head by a modified helmet. Each session lasted 45 minutes with real GSM exposure in one session and sham in the other. GSM stimulation modulated interhemispheric frontal and temporal coherence at alpha2 and alpha3 bands compared to sham.
Why This Matters
The researchers hypothesized that electromagnetic fields from mobile phones affect interhemispheric synchronization of cerebral rhythms. Functional interhemispheric connectivity was modeled using EEG spectral coherence between frontal, central, and parietal electrode pairs, examining delta, theta, and alpha sub-bands. The authors suggest that prolonged mobile phone emission affects cortical activity and the spread of neural synchronization through interhemispheric functional coupling of EEG rhythms.
Exposure Information
Specific exposure levels were not quantified in this study. The study examined exposure from: 902.4 MHz Duration: 45 min
Study Details
We tested the working hypothesis that electromagnetic fields from mobile phones (EMFs) affect interhemispheric synchronization of cerebral rhythms, an important physiological feature of information transfer into the brain.
Ten subjects underwent two electroencephalographic (EEG) recordings, separated by 1 week, following ...
Results showed that, compared to Sham stimulation, GSM stimulation modulated the interhemispheric fr...
The present results suggest that prolonged mobile phone emission affects not only the cortical activity but also the spread of neural synchronization conveyed by interhemispherical functional coupling of EEG rhythms.
Show BibTeX
@article{f_2007_mobile_phone_emission_modulates_1541,
author = {Vecchio F and Babiloni C and Ferreri F and Curcio G and Fini R and Del Percio C and Rossini PM},
title = {Mobile phone emission modulates interhemispheric functional coupling of EEG alpha rhythms},
year = {2007},
doi = {10.1111/j.1460-9568.2007.05405.x},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1460-9568.2007.05405.x},
}Cited By (93 papers)
- Time‐varying coupling of EEG oscillations predicts excitability fluctuations in the primary motor cortex as reflected by motor evoked potentials amplitude: An EEG‐TMS studyInfluential
F. Ferreri et al. (2014) - 91 citations
- Mobile phone emission increases inter-hemispheric functional coupling of electroencephalographic α rhythms in epileptic patients.Influential
F. Vecchio et al. (2012) - 43 citations
- Mobile phone emission modulates event-related desynchronization of α rhythms and cognitive-motor performance in healthy humans.Influential
F. Vecchio et al. (2011) - 43 citations
- Effects of transcranial direct current stimulation on the functional coupling of the sensorimotor cortical networkInfluential
F. Vecchio et al. (2016) - 26 citations
- Human resting-state EEG and radiofrequency GSM mobile phone exposure: the impact of the individual alpha frequencyInfluential
Jasmina Wallace et al. (2021) - 12 citations
- Effects of radio-frequency radiation on the permeability of blood-brain barrierInfluential
B. Sırav, N. Seyhan (2016) - 3 citations
- Brain neural synchronization and functional coupling in Alzheimer's disease as revealed by resting state EEG rhythms.
C. Babiloni et al. (2016) - 326 citations
- EUROPAEM EMF Guideline 2016 for the prevention, diagnosis and treatment of EMF-related health problems and illnesses
I. Belyaev et al. (2016) - 212 citations
- Increased blood-brain barrier permeability in mammalian brain 7 days after exposure to the radiation from a GSM-900 mobile phone.
H. Nittby et al. (2009) - 185 citations
- Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review.
F. Vecchio et al. (2013) - 148 citations