Evidence map›Paper›PMID 21915135›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2011

GSM mobile phone radiation suppresses brain glucose metabolism.

Myoung Soo Kwon, Victor Vorobyev, Sami Kännälä, Matti Laine, Juha O Rinne, Tommi Toivonen, Jarkko Johansson, Mika Teräs, Harri Lindholm, Tommi Alanko and 1 more

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Myoung Soo KwonDepartment of Psychology, Centre for Cognitive Neuroscience, University of Turku, Turku, Finland. mskwon@utu.fi
Victor Vorobyev
Sami Kännälä
Matti Laine
Juha O Rinne
Tommi Toivonen
Jarkko Johansson
Mika Teräs
Harri Lindholm
Tommi Alanko
Heikki Hämäläinen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the effects of mobile phone radiation on cerebral glucose metabolism using high-resolution positron emission tomography (PET) with the (18)F-deoxyglucose (FDG) tracer. A long half-life (109 minutes) of the (18)F isotope allowed a long, natural exposure condition outside the PET scanner. Thirteen young right-handed male subjects were exposed to a pulse-modulated 902.4 MHz Global System for Mobile Communications signal for 33 minutes, while performing a simple visual vigilance task. Temperature was also measured in the head region (forehead, eyes, cheeks, ear canals) during exposure. (18)F-deoxyglucose PET images acquired after the exposure showed that relative cerebral metabolic rate of glucose was significantly reduced in the temporoparietal junction and anterior temporal lobe of the right hemisphere ipsilateral to the exposure. Temperature rise was also observed on the exposed side of the head, but the magnitude was very small. The exposure did not affect task performance (reaction time, error rate). Our results show that short-term mobile phone exposure can locally suppress brain energy metabolism in humans.

Indexed as

Cell PhoneAdultArousalBody TemperatureBrainBrain ChemistryDose-Response Relationship, RadiationFluorodeoxyglucose F18GlucoseHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMicrowavesPsychomotor PerformanceRadionuclide ImagingFluorodeoxyglucose F18GlucoseRadiopharmaceuticals

Identifiers

PMID21915135
PMCPMC3323189

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.