Evidence map›Paper›PMID 32974829›Full record

ArticleEnvironmental science and pollution research international2021

Functional and network analyses of human exposure to long-term evolution signal.

Lei Yang, Chen Zhang, Zhiye Chen, Congsheng Li, Tongning Wu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

5 authors.

Lei YangChina Academy of Information and Communications Technology, Beijing, China.
Chen ZhangChina Academy of Information and Communications Technology, Beijing, China.
Zhiye ChenHainan Hospital of Chinese People's Liberation Army General Hospital, Beijing, China.
Congsheng LiChina Academy of Information and Communications Technology, Beijing, China.
Tongning WuChina Academy of Information and Communications Technology, Beijing, China. wutongning@caict.ac.cn.ORCID http://orcid.org/0000-0002-9894-9518

Funding

National Natural Science Foundation Project 61971445
6 · The paper itself

Abstract

Human exposure to the electromagnetic field emitted by wireless communication systems has raised public concerns. There were claims of the potential association of some neurophysiological disorders with the exposure, but the mechanism is yet to be established. The wireless networks, recently, experience a transition from the 4th generation (4G) to 5th generation (5G), while 4G long-term evolution (LTE) is still the frequently used signal in wireless communication. In the study, exposure experiments were conducted using the LTE signal. The subjects were divided into sham and real exposure groups. Before and after the exposure experiments, they underwent functional magnetic resonance imaging. Within-session and between-session comparisons have been executed for functional connectivity and network properties. Individual specific absorption rate (SAR) was also calculated. The results indicated that acute LTE exposure beneath the safety limits modulated both the functional connection and graph-based properties. To characterize the effect of functional activity, SAR averaged over a certain tissue mass was not an appropriate metric. The potential neurophysiological effect of 5G exposure has also been discussed in the study.

Indexed as

Electromagnetic FieldsMagnetic Resonance ImagingHumansBrain networkElectromagnetic hypersensitivityFunctional connectivityFunctional magnetic resonance imaging (fMRI)Long-term evolutionSafety limitsSpecific absorption rate (SAR)

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.