Does trans-membrane stimulation occur in peripheral nerve stimulation: why the SENN does not fit the data?
Donald McRobbie1,2

1South Australian Medical Imaging, Flinders Medical Centre, Adelaide, Australia, 2Surgery, Imperial College, London, United Kingdom

Synopsis

The Spatial Extended Non-linear Node (SENN) model currently used in MR safety guidelines does not adequately predict the behaviour of magnetic stimulation in terms of its time constant and waveform dependence. This has implications for the setting of gradient limits in MRI. Stimulation of the nerve by induced electric fields perpendicular to the nerve axis may remove the inconsistencies. A better model of magnetic stimulation is required.

Purpose

Peripheral nerve stimulation is a well documented adverse effect of MRI, resulting from transient electric fields induced in tissue from the rapid ramping of the gradients. Magnetic stimulation in tissue was first demonstrated ex-vivo by Oberg1. The magnetic strength-duration (SD) curve for human nerves in vivo was first shown by McRobbie and Foster2 using a topical coil applied to the forearm. Since then many authors have studied PNS in whole body gradient systems, and with a remarkable consistency in stimulus parameters: rheobase and chronaxie3-7. These results form the basis of the gradient limits in the IEC60601-2-33 standard. It has commonly been assumed that magnetic stimulation is analogous to direct electrical stimulation, and equivalent electrical circuits, particularly the Spatially Extended Non-linear Node model8 have been invoked. However recent publications have cast renewed doubt upon aspects of the SENN as applied to magnetic stimuli. In particular the findings that chronaxies determined with magnetic situation may be an order of magnitude longer than for electrode stimulation9,10. This abstract reviews some of the evidence and offers a hypothetical solution.

Methods

The literature on magnetic stimulation was reviewed, including that related to transcranial magnetic stimulation (TMS) and in-vitro studies. Existing data2, where available, was reanalysed. Topical magnetic stimulation data of the human forearm were fitted using both hyperbolic (chronaxie) and expontential (time constant) fits. Published results relating to to the strength-duration curve from MRI gradient experiments and topical magnetic stimulation were compared against the predictions of the SENN. Waveform dependence was also examined. Predictions of the SENN relating to the above were considered.

Results

Figure 1 shows reanalysed data from topical stimulation with a hyperbolic and exponential fit. Note the difference in calculated rheobases from each. The SENN predicts an A-fibre (motor nerve) membrane time constant (equivalent to the chronaxie) of the order of 0.12 ms8. Experiments with MR gradient systems3-7 constantly give a PNS chronaxie of the order of 0.5 ms (range 0.36-1.054 ms). Few topical studies have examined the chronaxie for PNS, but the earliest2 reported a value of 0.47 ms, corroborated closely (mean 0.56 ms, standard deviation (SD) 0.12 ms; mean 0.65 ms, SD 0.05 ms) by recent studies9,10.

The SENN predicts a rheobase of around 6 V/m for a 20 μm fibre with a dB/dt rheobase for whole body stimulation of 62.5 T/s8. Experimental values for dB/dt are all around 20 T/s with E estimated around 2 V/m.

The SENN strongly predicts a stimulus waveform dependence that gives rise to lower thresholds for mono-phasic pulses compared with biphasic pulses. Whilst this may be true for electrical stimulation, even the earliest magnetic stimulation results1,2 (figure 2) unequivocally contradict this.

Discussion

From its inception until recently, the SENN model has relied upon data from magnetic stimulation for its validation. Unfortunately the experimental evidence does not fit the predictions well. Reilly and Diamant11 cite "median experimental values of τc (the time constant) reported in the range 146-152 μs." Almost all the available evidence contracts this. The waveform discrepancy, i.e. biphasic having lower thresholds than mono-phasic was published prior to the 1989 review which established the SENN for magnetic stimulation8.

The SENN forms the basis of several aspects of our MR safety standards, but it inadequately describes well-known magnetic stimulation phenomena. Fortunately, MR manufacturers are able to use experimental PNS data derived from their scanners to set the appropriate stimulation limits. However, sufficient doubt exists to question the cardiac limits which remain theoretical, and the choice of model may affect the derived rheobase value.

The TMS literature has reported that transverse stimulation can occur with even uniform time-varying magnetic fields12. Indeed a close inspection of Oberg's original work suggests that transverse stimulation was occurring. This mode of stimulation is discounted in the SENN approach, which requires an E-field gradient between nodes. However invoking transverse stimulation may offer the means to reconcile both the chronaxie and the waveform discrepancies, by the accumulation of charge across the membrane - with different temporal characteristics.

Conclusions

The SENN does not adequately predict the behaviour of magnetic stimulation in terms of its time constant and waveform dependence. This has implications for the setting of gradient limits in MRI. Stimulation of the nerve by induced electric fields perpendicular to the nerve axis may remove the inconsistencies. A better model of magnetic stimulation is required.

Acknowledgements

No acknowledgement found.

References

1. Oberg PA. Magnetic stimulation of nerve tissue. Med Biol Eng Comput (1973) 11:55-64.

2. McRobbie D, Foster MA. Thresholds for biological effects of magnetic fields. Clin Phys Physiol Meas (1984) 5:67-78.

3. Bourland JD, Nyenhuis JA, Schaefer DJ. Physiologic effects of intense MR imaging gradient fields. Neuroimaging Clin N Am (1999) 9:363-377.

4. Den Boer JA, Bourland JD, Nyenhuis JA, et al. Comparison of the threshold for peripheral nerve stimulation during gradient switching in whole body MR systems. J Magn Reson Imag (2002) 15:520-525.

5. Hebrank FX, Gebhardt M. SAFE-Model – a new method for predicting peripheral nerve stimulation in MRI. ISMRM Abstracts (2000): p 2007.

6. Zhang B, Yen YF, Chronik BA, et al. Peripheral nerve stimulation properties of head and body gradient coils of various sizes. Magn Reson Med (2003) 50:50-58.

7. Irnich W, Schmitt F. Magnetostimulation in MRI. Magn Reson Med (1995) 33:619-623.

8. Reilly JP. Peripheral nerve stimulation by induced electric current: exposure to time-varying magnetic fields. Med. Bio. Eng & Comput (1989) 27:101-110.

9 .Recoskie BJ, Scholl TJ, Chronik BA.The discrepancy between human peripheral nerve chronaxie times as measured using magnetic and electric fieldstimuli: the relevance to MRI gradient coil safety. Phys Med Biol. (2009) 54:5965-5975.

10.Recoskie BJ, Scholl TJ,et al. Sensory and motor stimulation thresholds of the ulnar nerve from electrical and magnetic fieldstimuli: implications to gradient coil operation. Magn Reson Med. (2010) 64:1567-1579

11. Reilly JP, Diamant AM. Electrostimulation: Theory, Applications, and Computational Mode. Norwood, MA USA:Artech House (2011).

12. Ye H, Cotic M, et al. Transmembrane potential generated by a magnetically inducedtransverse electric field in a cylindrical axonal model. Med Biol Eng Comput (2011) 49:107–119.

Figures

Figure 1. Strength-duration curve for topical human forearm median nerve stimulation and fitted parameters.

Figure 2. Stimulation of the human forearm with monopolar and bipolar magnetic pulses.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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