Setup and dosimetry for exposing anaesthetised pigs in vivo to 900 MHz GSM mobile phone fields

Toivonen, Tommi; Toivo, Tim; Pitkäaho, Risto; Puranen, Lauri; Silfverhuth, Minna; Mennander, Ari; Hannula, Markus; Hyttinen, Jari; Jokela, Kari

doi:10.1002/bem.20404

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…The possible contamination of EEG signals due to direct pickup of mobile phone signals has often been discussed as a possible artifact in both human and animal EEG studies. However, no significant interferences were observed in EEG, especially for the physiologically important frequency range of 0.5-30 Hz [Wood et al, 2003;Toivonen et al, 2008].…”

Section: Discussionmentioning

confidence: 84%

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Preattentive auditory information processing under exposure to the 902 MHz GSM mobile phone electromagnetic field: A mismatch negativity (MMN) study

Kwon

Kujala

Huotilainen

et al. 2009

Bioelectromagnetics

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Previous studies on the effects of the mobile phone electromagnetic field (EMF) on various event-related potential (ERP) components have yielded inconsistent and even contradictory results, and often failed in replication. The mismatch negativity (MMN) is an auditory ERP component elicited by infrequent (deviant) stimuli differing in some physical features from the repetitive frequent (standard) stimuli in a sound sequence. The MMN provides a sensitive measure for cortical auditory stimulus feature discrimination, regardless of attention and other contaminating factors. In this study, MMN responses to duration, intensity, frequency, and gap changes were recorded in healthy young adults (n = 17), using a multifeature paradigm including several types of auditory change in the same stimulus sequence, while a GSM mobile phone was placed on either ear with the EMF (902 MHz pulsed at 217 Hz; SAR(1g) = 1.14 W/kg, SAR(10g) = 0.82 W/kg, peak value = 1.21 W/kg, measured with an SAM phantom) on or off. An MMN was elicited by all deviant types, while its amplitude and latency showed no significant differences due to EMF exposure for any deviant types. In the present study, we found no conclusive evidence that acute exposure to GSM mobile phone EMF affects cortical auditory change detection processing reflected by the MMN.

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Section: Discussionmentioning

confidence: 84%

“…The averaged response to the standard was subtracted from that to each deviant in order to delineate the MMN, resulting in four different waveforms, one for each deviant type. There was no direct coupling between EEG (1-30 Hz) and 900-MHz GSM signals [Wood et al, 2003;Toivonen et al, 2008].…”

Section: Methodsmentioning

confidence: 96%

Preattentive auditory information processing under exposure to the 902 MHz GSM mobile phone electromagnetic field: A mismatch negativity (MMN) study

Kwon

Kujala

Huotilainen

et al. 2009

Bioelectromagnetics

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“…Baseline correction was performed using a time window of À100 to 0 ms. Epochs, including EEG or EOG voltage exceeding AE75 mV and those for the first five standards of each stimulus sequence, were omitted from the averaging. There was no direct coupling between EEG (1-30 Hz) and 902 MHz GSM signals [Wood et al, 2003;Toivonen et al, 2008].…”

Section: Data Acquisitionmentioning

confidence: 96%

No effects of mobile phone use on cortical auditory change‐detection in children: An ERP study

Kwon

Huotilainen

Шестакова

et al. 2009

Bioelectromagnetics

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We investigated the effect of mobile phone use on the auditory sensory memory in children. Auditory event-related potentials (ERPs), P1, N2, mismatch negativity (MMN), and P3a, were recorded from 17 children, aged 11-12 years, in the recently developed multi-feature paradigm. This paradigm allows one to determine the neural change-detection profile consisting of several different types of acoustic changes. During the recording, an ordinary GSM (Global System for Mobile Communications) mobile phone emitting 902 MHz (pulsed at 217 Hz) electromagnetic field (EMF) was placed on the ear, over the left or right temporal area (SAR(1g) = 1.14 W/kg, SAR(10g) = 0.82 W/kg, peak value = 1.21 W/kg). The EMF was either on or off in a single-blind manner. We found that a short exposure (two 6 min blocks for each side) to mobile phone EMF has no statistically significant effects on the neural change-detection profile measured with the MMN. Furthermore, the multi-feature paradigm was shown to be well suited for studies of perception accuracy and sensory memory in children. However, it should be noted that the present study only had sufficient statistical power to detect a large effect size.

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“…53 The body of the adult reference deer is roughly represented by an ellipsoid with dimensions of 50,52,65 A voxel-based frog model was also developed using cryosection images. 51 Toivonen et al 54 and Wake et al, 55 developed voxelbased pig and rabbit models, respectively, for finite-difference time-domain (FDTD) simulation of radio frequency (RF) radiation dosimetry. The University of Florida constructed a stylized model, a voxel model, and a hybrid model of the same 24 kg Hound cross canine specimen.…”

Section: C Computational Models Of Other Animalsmentioning

confidence: 99%

“…Following this study, animal SAR values were calculated and reported for mouse, rat, rabbit, and pig under RF exposures of 800 MHz-2 GHz cellular phone electromagnetic fields. 22,36,44,54,[113][114][115][116][117][118][119][120][121][122][123] Dosimetry calculations were performed for the exposure of mice and rabbit to 2.45 GHz WiFi frequencies. [124][125][126][127][128][129] Fig.…”

Section: B Nonionizing Radiation Dosimetrymentioning

confidence: 99%

Development of computational small animal models and their applications in preclinical imaging and therapy research

Xie

Zaidi

2015

Med. Phys.

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The development of multimodality preclinical imaging techniques and the rapid growth of realistic computer simulation tools have promoted the construction and application of computational laboratory animal models in preclinical research. Since the early 1990s, over 120 realistic computational animal models have been reported in the literature and used as surrogates to characterize the anatomy of actual animals for the simulation of preclinical studies involving the use of bioluminescence tomography, fluorescence molecular tomography, positron emission tomography, single-photon emission computed tomography, microcomputed tomography, magnetic resonance imaging, and optical imaging. Other applications include electromagnetic field simulation, ionizing and nonionizing radiation dosimetry, and the development and evaluation of new methodologies for multimodality image coregistration, segmentation, and reconstruction of small animal images. This paper provides a comprehensive review of the history and fundamental technologies used for the development of computational small animal models with a particular focus on their application in preclinical imaging as well as nonionizing and ionizing radiation dosimetry calculations. An overview of the overall process involved in the design of these models, including the fundamental elements used for the construction of different types of computational models, the identification of original anatomical data, the simulation tools used for solving various computational problems, and the applications of computational animal models in preclinical research. The authors also analyze the characteristics of categories of computational models (stylized, voxel-based, and boundary representation) and discuss the technical challenges faced at the present time as well as research needs in the future. C 2016 American Association of Physicists in Medicine. [http://dx

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Setup and dosimetry for exposing anaesthetised pigs in vivo to 900 MHz GSM mobile phone fields

Cited by 7 publications

References 14 publications

Preattentive auditory information processing under exposure to the 902 MHz GSM mobile phone electromagnetic field: A mismatch negativity (MMN) study

Preattentive auditory information processing under exposure to the 902 MHz GSM mobile phone electromagnetic field: A mismatch negativity (MMN) study

No effects of mobile phone use on cortical auditory change‐detection in children: An ERP study

Development of computational small animal models and their applications in preclinical imaging and therapy research

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