Literature DB >> 25399806

Impact of head morphology on local brain specific absorption rate from exposure to mobile phone radiation.

Fatemeh Adibzadeh1, Jurriaan F Bakker, Margarethus M Paulides, René F Verhaart, Gerard C van Rhoon.   

Abstract

Among various possible health effects of mobile phone radiation, the risk of inducing cancer has the strongest interest of laymen and health organizations. Recently, the Interphone epidemiological study investigated the association between the estimated Radio Frequency (RF) dose from mobile phones and the risk of developing a brain tumor. Their dosimetric analysis included over 100 phone models but only two homogeneous head phantoms. So, the potential impact of individual morphological features on global and local RF absorption in the brain was not investigated. In this study, we performed detailed dosimetric simulations for 20 head models and quantified the variation of RF dose in different brain regions as a function of head morphology. Head models were exposed to RF fields from generic mobile phones at 835 and 1900 MHz in the "tilted" and "cheek" positions. To evaluate the local RF dose variation, we used and compared two different post-processing methods, that is, averaging specific absorption rate (SAR) over Talairach regions and over sixteen predefined 1 cm(3) cube-shaped field-sensors. The results show that the variation in the averaged SAR among the heads can reach up to 16.4 dB at a 1 cm(3) cube inside the brain (field-sensor method) and alternatively up to 15.8 dB in the medulla region (Talairach method). In conclusion, we show head morphology as an important uncertainty source for dosimetric studies of mobile phones. Therefore, any dosimetric analysis dealing with RF dose at a specific region in the brain (e.g., tumor risk analysis) should be based upon real morphology.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  SAR; brain tumor risk analysis; epidemiology; head morphology; mobile phone exposure

Mesh:

Year:  2014        PMID: 25399806     DOI: 10.1002/bem.21885

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  4 in total

1.  Long-term exposure to 835 MHz RF-EMF induces hyperactivity, autophagy and demyelination in the cortical neurons of mice.

Authors:  Ju Hwan Kim; Da-Hyeon Yu; Yang Hoon Huh; Eun Ho Lee; Hyung-Gun Kim; Hak Rim Kim
Journal:  Sci Rep       Date:  2017-01-20       Impact factor: 4.379

2.  Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.

Authors:  Malka N Halgamuge
Journal:  Int J Environ Res Public Health       Date:  2020-06-26       Impact factor: 3.390

3.  Effect of Electromagnetic Field Exposure on Mouse Brain Morphological and Histopathological Profiling.

Authors:  Judita Zymantiene; Vida Juozaitiene; Rasa Zelvyte; Vaidas Oberauskas; Ugne Spancerniene; Antanas Sederevicius; Albina Aniuliene
Journal:  J Vet Res       Date:  2020-05-08       Impact factor: 1.744

4.  The specific absorption rate in different brain regions of rats exposed to electromagnetic plane waves.

Authors:  Hao-Yu Wang; Chun-Fang Li; Chao Yu; Ji Dong; Yong Zou; Bin-Bin Nie; Jia-Kai Li; Lin Ma; Rui-Yun Peng
Journal:  Sci Rep       Date:  2019-09-16       Impact factor: 4.379

  4 in total

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