No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals
Neurophysiological effect of human exposure to radiofrequency signals has attracted considerable attention, which was claimed to have an association with a series of clinical symptoms. A few investigations have been conducted on alteration of brain functions, yet no known research focused on intrins...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-01-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.734370/full |
_version_ | 1798021551993389056 |
---|---|
author | Lei Yang Qingmeng Liu Yu Zhou Xing Wang Tongning Wu Zhiye Chen |
author_facet | Lei Yang Qingmeng Liu Yu Zhou Xing Wang Tongning Wu Zhiye Chen |
author_sort | Lei Yang |
collection | DOAJ |
description | Neurophysiological effect of human exposure to radiofrequency signals has attracted considerable attention, which was claimed to have an association with a series of clinical symptoms. A few investigations have been conducted on alteration of brain functions, yet no known research focused on intrinsic connectivity networks, an attribute that may relate to some behavioral functions. To investigate the exposure effect on functional connectivity between intrinsic connectivity networks, we conducted experiments with seventeen participants experiencing localized head exposure to real and sham time-division long-term evolution signal for 30 min. The resting-state functional magnetic resonance imaging data were collected before and after exposure, respectively. Group-level independent component analysis was used to decompose networks of interest. Three states were clustered, which can reflect different cognitive conditions. Dynamic connectivity as well as conventional connectivity between networks per state were computed and followed by paired sample t-tests. Results showed that there was no statistical difference in static or dynamic functional network connectivity in both real and sham exposure conditions, and pointed out that the impact of short-term electromagnetic exposure was undetected at the ICNs level. The specific brain parcellations and metrics used in the study may lead to different results on brain modulation. |
first_indexed | 2024-04-11T17:15:26Z |
format | Article |
id | doaj.art-0b63a4502b0448e2bdfd96d37503c63b |
institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-04-11T17:15:26Z |
publishDate | 2022-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Public Health |
spelling | doaj.art-0b63a4502b0448e2bdfd96d37503c63b2022-12-22T04:12:41ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-01-01910.3389/fpubh.2021.734370734370No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication SignalsLei Yang0Qingmeng Liu1Yu Zhou2Xing Wang3Tongning Wu4Zhiye Chen5China Academy of Information and Communications Technology, Beijing, ChinaChina Academy of Information and Communications Technology, Beijing, ChinaChina Academy of Information and Communications Technology, Beijing, ChinaChina Academy of Information and Communications Technology, Beijing, ChinaChina Academy of Information and Communications Technology, Beijing, ChinaHainan Hospital of Chinese People's Liberation Army General Hospital, Hainan, ChinaNeurophysiological effect of human exposure to radiofrequency signals has attracted considerable attention, which was claimed to have an association with a series of clinical symptoms. A few investigations have been conducted on alteration of brain functions, yet no known research focused on intrinsic connectivity networks, an attribute that may relate to some behavioral functions. To investigate the exposure effect on functional connectivity between intrinsic connectivity networks, we conducted experiments with seventeen participants experiencing localized head exposure to real and sham time-division long-term evolution signal for 30 min. The resting-state functional magnetic resonance imaging data were collected before and after exposure, respectively. Group-level independent component analysis was used to decompose networks of interest. Three states were clustered, which can reflect different cognitive conditions. Dynamic connectivity as well as conventional connectivity between networks per state were computed and followed by paired sample t-tests. Results showed that there was no statistical difference in static or dynamic functional network connectivity in both real and sham exposure conditions, and pointed out that the impact of short-term electromagnetic exposure was undetected at the ICNs level. The specific brain parcellations and metrics used in the study may lead to different results on brain modulation.https://www.frontiersin.org/articles/10.3389/fpubh.2021.734370/fullradiofrequency exposurelong-term evolutionresting-state fMRIintrinsic connectivity networkdynamic connectivity |
spellingShingle | Lei Yang Qingmeng Liu Yu Zhou Xing Wang Tongning Wu Zhiye Chen No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals Frontiers in Public Health radiofrequency exposure long-term evolution resting-state fMRI intrinsic connectivity network dynamic connectivity |
title | No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals |
title_full | No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals |
title_fullStr | No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals |
title_full_unstemmed | No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals |
title_short | No Alteration Between Intrinsic Connectivity Networks by a Pilot Study on Localized Exposure to the Fourth-Generation Wireless Communication Signals |
title_sort | no alteration between intrinsic connectivity networks by a pilot study on localized exposure to the fourth generation wireless communication signals |
topic | radiofrequency exposure long-term evolution resting-state fMRI intrinsic connectivity network dynamic connectivity |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.734370/full |
work_keys_str_mv | AT leiyang noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals AT qingmengliu noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals AT yuzhou noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals AT xingwang noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals AT tongningwu noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals AT zhiyechen noalterationbetweenintrinsicconnectivitynetworksbyapilotstudyonlocalizedexposuretothefourthgenerationwirelesscommunicationsignals |