Medical/biological study (experimental study)

Effects of concurrent caffeine and mobile phone exposure on local target probability processing in the human brain. med./bio.

By: Trunk A, Stefanics G, Zentai N, Bacskay I, Felinger A, Thuroczy G, Hernadi I

Published in: Sci Rep 2015; 5: 14434

Aim of study (acc. to author)

The effects of co-exposure of subjects to an UMTS radiofrequency signal and caffeine on the reaction time and the brain activity should be investigated.

Background/further details

25 subjects participated in 4 sessions, respectively: 1) UMTS session: sham caffeine administration (glucose placebo) and UMTS exposure, 2) caffeine session: caffeine administration (3 mg/kg) and UMTS sham exposure, 3) co-exposure session: caffeine administration and UMTS exposure, 4) control session: sham caffeine administration and UMTS sham exposure. EEG data from 21 subjects and reaction time data from 23 subjects were analyzed (remark EMF-Portal: composition of group is contradictory: participation of 9, 11 or 13 females?).

Endpoint

effects on the neurological system: brain activity
cognitive/behavioral endpoints: reaction time

Exposure

- W-CDMA
- mobile communications
- mobile phone
- UMTS
- co-exposure

Exposure	Parameters
Exposure 1: RF (≥ 10 MHz) Exposure duration: continuous for 15 minutes (2x)	SAR: 1.75 W/kg peak value (1 g) (at 2 cm depth from the shell surface of the phantom) SAR: 2 W/kg maximum (10 g) (at any position within the phantom)

Exposure 1

Main characteristics

Frequency	RF (≥ 10 MHz)
Type	electromagnetic field
Exposure duration	continuous for 15 minutes (2x)

Exposure setup

Exposure source	patch antenna
Setup	a mobile phone (Nokia 6650) was connected to 2W amplifier and a external patch antenna; antenna was mounted on a plastic headset and placed at a distance of 4 to 5 mm from the right ear above the subjects tragus, mimicking the natural position of MP during a call
Sham exposure	A sham exposure was conducted.

Parameters

Measurand	Value	Type	Method	Mass	Remarks
SAR	1.75 W/kg	peak value	-	1 g	at 2 cm depth from the shell surface of the phantom
SAR	2 W/kg	maximum	-	10 g	at any position within the phantom

Reference articles

Trunk A et al. (2014): Lack of interaction between concurrent caffeine and mobile phone exposure on visual target detection: an ERP study.
Trunk A et al. (2013): No effects of a single 3G UMTS mobile phone exposure on spontaneous EEG activity, ERP correlates, and automatic deviance detection.
Parazzini M et al. (2010): Absence of short-term effects of UMTS exposure on the human auditory system.
Stefanics G et al. (2008): Effects of twenty-minute 3G mobile phone irradiation on event related potential components and early gamma synchronization in auditory oddball paradigm.

Exposed system:

human
partial body: ear

Methods Endpoint/measurement parameters/methodology

effects on the neurological system: brain activity (alpha waves and gamma waves; EEG)
cognitive/behavioral endpoints: reaction time (visual oddball paradigm)
caffeine concentration in saliva (at the beginning and end of each session; HPLC), eye movement (during EEG; EOG)

Investigated material:

investigation on living organism

Investigated organ system:

brain/CNS

Time of investigation:

before exposure
during exposure
after exposure

Main outcome of study (acc. to author)

Caffeine administration (session 2) led to significant differences in the EEG and to a significantly reduced reaction time compared to the control session. However, UMTS exposure (session 1) had no significant effect on any parameter in comparison to the control session and did not influence the effects of caffeine in a co-exposure (session 3).
The authors conclude that exposure of subjects to an UMTS radiofrequency signal has no effect on the reaction time and the brain activity, neither alone nor in a co-exposure with caffeine.

Study character:

medical/biological study
experimental study
full/main study
double-blind study, cross-over study

Study funded by

European Union (EU)/European Commission
Hungarian National Program in Brain Sciences (NPIBS), Hungary

Roggeveen S et al. (2015): EEG changes due to experimentally induced 3G mobile phone radiation.
Ghosn R et al. (2015): Radiofrequency signal affects alpha band in resting electroencephalogram.
Singh G (2014): The Effects of Mobile Phone Usage on Human Brain using EEG.
Trunk A et al. (2014): Lack of interaction between concurrent caffeine and mobile phone exposure on visual target detection: an ERP study.
Perentos N et al. (2013): The alpha band of the resting electroencephalogram under pulsed and continuous radio frequency exposures.
Loughran SP et al. (2013): No increased sensitivity in brain activity of adolescents exposed to mobile phone-like emissions.
Trunk A et al. (2013): No effects of a single 3G UMTS mobile phone exposure on spontaneous EEG activity, ERP correlates, and automatic deviance detection.
Vecchio F et al. (2012): Mobile phone emission modulates event-related desynchronization of alpha rhythms and cognitive-motor performance in healthy humans.
Leung S et al. (2011): Effects of 2G and 3G mobile phones on performance and electrophysiology in adolescents, young adults and older adults.
Kwon MS et al. (2010): No effects of mobile phone use on cortical auditory change-detection in children: an ERP study.
Croft RJ et al. (2010): Effects of 2G and 3G mobile phones on human alpha rhythms: Resting EEG in adolescents, young adults, and the elderly.
Vecchio F et al. (2010): Mobile phone emission modulates inter-hemispheric functional coupling of EEG alpha rhythms in elderly compared to young subjects.
Maganioti AE et al. (2010): Principal component analysis of the P600 waveform: RF and gender effects.
Nanou E et al. (2009): Influence of a 1,800 MHz electromagnetic field on the EEG energy.
Kleinlogel H et al. (2008): Effects of weak mobile phone - electromagnetic fields (GSM, UMTS) on well-being and resting EEG.
Stefanics G et al. (2008): Effects of twenty-minute 3G mobile phone irradiation on event related potential components and early gamma synchronization in auditory oddball paradigm.
Croft RJ et al. (2008): The effect of mobile phone electromagnetic fields on the alpha rhythm of human electroencephalogram.
Hountala CD et al. (2008): The spectral power coherence of the EEG under different EMF conditions.
Perentos N et al. (2007): Comparison of the effects of continuous and pulsed mobile phone like RF exposure on the human EEG.
Krause CM et al. (2007): Effects of pulsed and continuous wave 902 MHz mobile phone exposure on brain oscillatory activity during cognitive processing.
Vecchio F et al. (2007): Mobile phone emission modulates interhemispheric functional coupling of EEG alpha rhythms.
Regel SJ et al. (2007): Pulsed radio frequency radiation affects cognitive performance and the waking electroencephalogram.
Hamblin DL et al. (2006): The sensitivity of human event-related potentials and reaction time to mobile phone emitted electromagnetic fields.
Krause CM et al. (2006): Mobile phone effects on children's event-related oscillatory EEG during an auditory memory task.
Papageorgiou CC et al. (2006): Acute mobile phone effects on pre-attentive operation.
Maby E et al. (2006): Scalp localization of human auditory cortical activity modified by GSM electromagnetic fields.
Curcio G et al. (2005): Is the brain influenced by a phone call? An EEG study of resting wakefulness.
Papageorgiou CC et al. (2004): Gender related differences on the EEG during a simulated mobile phone signal.
Kramarenko AV et al. (2003): Effects of high-frequency electromagnetic fields on human EEG: a brain mapping study.
D'Costa H et al. (2003): Human brain wave activity during exposure to radiofrequency field emissions from mobile phones.
Hietanen M et al. (2000): Human brain activity during exposure to radiofrequency fields emitted by cellular phones.
Lebedeva NN et al. (2000): Cellular phone electromagnetic field effects on bioelectric activity of human brain.
Roschke J et al. (1997): No short-term effects of digital mobile radio telephone on the awake human electroencephalogram.
Reiser H et al. (1995): The influence of electromagnetic fields on human brain activity.