Evidence map›Paper›PMID 26395526›Full record

ArticleScientific reports2015

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

Attila Trunk, Gábor Stefanics, Norbert Zentai, Ivett Bacskay, Attila Felinger, György Thuróczy, István Hernádi

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

7 authors.

Attila TrunkDepartment of Experimental Neurobiology, University of Pécs, Hungary.
Gábor StefanicsTranslational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich &ETH Zurich, Switzerland.
Norbert ZentaiDepartment of Experimental Neurobiology, University of Pécs, Hungary.
Ivett BacskayDepartment of Analytical and Environmental Chemistry, University of Pécs, Hungary.
Attila FelingerDepartment of Analytical and Environmental Chemistry, University of Pécs, Hungary.
György ThuróczyNational Institute for Radiobiology and Radiohygiene (NIRR), Budapest, Hungary.
István HernádiDepartment of Experimental Neurobiology, University of Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millions of people use mobile phones (MP) while drinking coffee or other caffeine containing beverages. Little is known about the potential combined effects of MP irradiation and caffeine on cognitive functions. Here we investigated whether caffeine intake and concurrent exposure to Universal Mobile Telecommunications System (UMTS) MP-like irradiation may interactively influence neuro-cognitive function in an active visual oddball paradigm. In a full factorial experimental design, 25 participants performed a simple visual target detection task while reaction time (RT) and electroencephalogram (EEG) was recorded. Target trials were divided into Low and High probability sets based on target-to-target distance. We analyzed single trial RT and alpha-band power (amplitude) in the pre-target interval. We found that RT was shorter in High vs. Low local probability trials, and caffeine further shortened RT in High probability trials relative to the baseline condition suggesting that caffeine improves the efficiency of implicit short-term memory. Caffeine also decreased pre-target alpha amplitude resulting in higher arousal level. Furthermore, pre-target gamma power positively correlated with RT, which may have facilitated target detection. However, in the present pharmacologically validated study UMTS exposure either alone or in combination with caffeine did not alter RT or pre-stimulus oscillatory brain activity.

Indexed as

Cell PhoneAdolescentAdultBrainBrain WavesCaffeineCognitionElectroencephalographyElectromagnetic FieldsFemaleHumansMaleMemory, Short-TermReaction TimeYoung AdultCaffeine

Identifiers

PMID26395526
PMCPMC4585767

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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.