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Research Letter: Electrosensitives and perception of magnetic pulses

Published online by Cambridge University Press:  09 April 2009

U. FRICK*
Affiliation:
Department of Psychiatry, University of Regensburg, Regensburg, Germany Department of Healthcare Management, Carinthia University of Applied Sciences, Feldkirchen, Austria
P. EICHHAMMER
Affiliation:
Department of Psychiatry, University of Regensburg, Regensburg, Germany
B. LANGGUTH
Affiliation:
Department of Psychiatry, University of Regensburg, Regensburg, Germany
G. HAJAK
Affiliation:
Department of Psychiatry, University of Regensburg, Regensburg, Germany
M. LANDGREBE
Affiliation:
Department of Psychiatry, University of Regensburg, Regensburg, Germany
*
Address correspondence to: Prof. Dr U. Frick Department of Healthcare Management, Carinthia University of Applied Sciences, Hauptplatz 12, A-9560, Feldkirchen in Kärnten, Austria (Email: u.frick@fh-kaernten.at)
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Abstract

Type
Research Letter
Copyright
Copyright © Cambridge University Press 2009

In our recently published paper by Landgrebe et al. (Reference Landgrebe, Frick, Hauser, Langguth, Rosner, Hajak and Eichhammer2008), earlier investigations (Frick et al. Reference Frick, Kharraz, Hauser, Wiegand, Rehm, Kovatsits and Eichhammer2005) describing reduced ability in subjective electromagnetic hypersensitive patients (EHS) to discriminate real from sham transcranial magnetic pulses were confirmed. Transcranial magnetic stimulation (TMS) was performed with Magstim (Frick et al. Reference Frick, Kharraz, Hauser, Wiegand, Rehm, Kovatsits and Eichhammer2005) and Medtronic (Landgrebe et al. Reference Landgrebe, Frick, Hauser, Langguth, Rosner, Hajak and Eichhammer2008) equipment. However, the description of the sham condition was not clear-cut in either of the papers. For example, in Landgrebe et al. (Reference Landgrebe, Frick, Hauser, Langguth, Rosner, Hajak and Eichhammer2008), we stated that probands knew ‘that each pulse had a 50% probability of representing a real magnetic stimulus or to be only an acoustic click without an accompanying magnetic pulse’. Regarding both papers, it should be clarified that both Magstim and Medtronic sham coils produce a magnetic field; however, this is very low compared to the verum coils. This has given rise to doubts concerning our statistical analysis, although the statistical tool (ANCOVA) does not require a null-exposure as the control condition to investigate differences in the perceptive ability. Nevertheless, we wish to present an alternative analysis of the pooled data of both studies, without distinguishing ‘sham’ and ‘real’ exposure conditions which includes magnetic field strength, administered at each stimulation, as a predictor into the statistical model.

We measured induced electric voltage directly on the surface at the centre of the coils using a dipole probe similar to Rossi et al. (Reference Rossi, Ferro, Cincotta, Ulivelli, Bartalini, Miniussi, Giovannelli and Passero2007) resulting in an indirect measure of the magnetic flux density. Thus, a dose–response relationship between emission and perception can be estimated and tested.

Subjects were tested using Medtronic (n=194) and Magstim (n=84) equipment. Each subject received four series of single transcranial magnetic pulses at the dorsolateral prefrontal cortex and after each pulse answered whether he/she had experienced any sensory perception. We pooled both datasets of 13 691 single perception experiments performed on 278 subjects (average age 48.1 years, s.d.=12.0, 58.3% females, 42.4% EHS). The outcome variable (perceiving a sensation) is dichotomous and its log odds were modelled as a linear function of increasing exposure level and of individual learning throughout the experiment. Subjects' characteristics (age, sex, claimed hypersensitivity) were introduced into the model as level-2 variables within a hierarchical approach (see Raudenbush & Bryk, Reference Raudenbush and Bryk2002, ch. 10) impacting both the intercept parameter and the slope for exposure. The individually randomized sequence of the experiment (starting with either sham or verum coil) was also modelled as a level-2 predictor variable. Estimation was performed using HLM5. Results are given for the population-average model with robust standard errors (Zeger et al. Reference Zeger, Liang and Albert1988).

Fig. 1 gives the electric voltage measured at the surface of the coils used. The Magstim equipment provides a larger difference between the sham and the verum condition than the Medtronic equipment. The truth table underlying Fig. 1 was used to transform the presets (% of maximum stimulation power) of the magnetic coils into emission parameters (voltage measured).

Variance components associated with both random intercept β0 and random slope for β2 had significant p values (p<0.0001). We therefore included the respective level-2 equations into the final statistical model. Differences of the equipment (Magstim v. Medtronic) could not be shown to have an impact either on the intercept parameter β0 (t ratio=1.74, p=0.08) or on the slope parameter β2 (t ratio=0.03, p=0.078). Table 1 summarizes the numerical results.

Table 1. Two-level logistic regression model on sensory perception of magnetic pulses

d.f., Degrees of freedom; OR, odds ratio; s.e., standard error; VSVS, sequence of verum–sham–verum–sham during perception experiment.

From Table 1 can be concluded that a sensory perception is a function of three significant determinants:

  • First, an unspecific individual ‘guessing tendency’ β, which is dependent on subjects' gender (women guess more often), age (older subjects guess more often), sequence of the experiment (subjects starting with verum coils guess more often) and a remarkable effect for hypersensitivity: EHS [odds ratio (OR) 2.24] clearly feel more often exposed to a magnetic pulse of recognizable intensity than their controls.

  • Second, during series 3 and 4 (approximately equivalent to the second half of an individual's experimental session), subjects showed a greater tendency to report a sensory perception. This tendency does not refer to the real exposure condition, but might be seen as an unspecific effect of higher alertness towards the experimental conditions, uniform for all participants (OR 1.27).

  • Third, there is a dose–response relationship between exposure and perception. For each unit of voltage, the log odds of a positive sensory perception are increased by the coefficient γ20 of 0.0261 (OR 1.03). For women, this slope parameter is slightly smaller (γ21, OR 0.9960). For each year of age the slope is also decreased (γ22, OR 0.9998), and if the experiment started with a verum condition, the slope is also more gently inclined (γ24, OR 0.9972). It is of note that EHS display a flatter slope parameter than their controls (γ23, OR 0.9969). This means that EHS – all other factors being equal –have a slightly but significantly diminished ability to recognize a magnetic pulse signal with increasing exposure levels.

The re-analysis of our perception experiment data aimed to clarify if small magnetic fields remaining in sham coils may challenge our conclusion of diminished perceptive abilities in EHS. Including the physical properties of the verum and sham coils, we could establish a dose–response relationship for all probands, but with diminished slope for EHS. There are two effects associated with the status of self-declared electrohypersensitivity: a higher rate of false-positive alarms for sensory perception of magnetic pulses, and a diminished ability to recognize a magnetic pulse at increased real exposure levels.

Acknowledgements

Both underlying studies were funded by grants from the German Federal Ministry for the Environment, Nature Conservation, and Nuclear Safety (UFOPLAN projects StSch4357 and StSch4387).

Declaration of Interest

None.

References

Frick, U, Kharraz, A, Hauser, S, Wiegand, R, Rehm, J, Kovatsits, U, Eichhammer, P (2005). Comparison perception of singular transcranial magnetic stimuli by subjectively electrosensitive subjects and general population controls. Bioelectromagnetics 26, 287298.CrossRefGoogle ScholarPubMed
Landgrebe, M, Frick, U, Hauser, S, Langguth, B, Rosner, R, Hajak, G, Eichhammer, P (2008). Cognitive and neurobiological alterations in electromagnetic hypersensitive patients: results of a case-control study. Psychological Medicine. Published online: 26 March 2008. doi:10.1017/S0033291708003097.CrossRefGoogle ScholarPubMed
Raudenbush, S, Bryk, A (2002). Hierarchical Linear Models, 2nd edn. Sage Publications: Newbury Park, CA.Google Scholar
Rossi, S, Ferro, M, Cincotta, M, Ulivelli, M, Bartalini, S, Miniussi, C, Giovannelli, F, Passero, S (2007). A real electro-magnetic placebo (REMP) device for sham transcranial magnetic stimulation (TMS). Clinical Neurophysiology 118, 709716.CrossRefGoogle ScholarPubMed
Zeger, SL, Liang, KY, Albert, PS (1988). Models for longitudinal data: a generalized estimating equation approach. Biometrics 44, 10491060.CrossRefGoogle Scholar
Figure 0

Fig. 1. Electric voltage at surface of coils used in Frick et al. (2005) and Landgrebe et al. (2008), as measured with a dipole electrode according to Rossi et al. (2007).

Figure 1

Table 1. Two-level logistic regression model on sensory perception of magnetic pulses