MRI & TMS
Olivier Reynaud1
1Human Neuroscience Platform, Foundation Campus Biotech Geneva, Switzerland

Synopsis

This lecture will highlight the very different physics of MRI and TMS, and will give the audience a brief introduction to the characteristics of TMS and TMS experiments outside any MRI environment. The challenges of performing TMS in a magnetic environment will then be laid out, and appropriate solutions to the various challenges to overcome explained. The audience will be presented with the current state of applications in concurrent TMS-MRI. Hopefully the interested listener will leave the talk with all the tools necessary to setup his own multimodal study.

Introduction

This course on Complementing MRI with Other Modalities: Hardware & Method Development will focus on the concurrent (and not simultaneous) application of TMS and MRI. This lecture will highlight the very different physics of MRI and TMS, and will give the audience a brief introduction to the characteristics of TMS and TMS experiments outside any MRI environment. The challenges of performing TMS in a magnetic environment will then be laid out, and appropriate solutions to the various challenges to overcome explained. The audience will be presented with the current state of applications in concurrent TMS-MRI. Hopefully the interested listener will leave the talk with all the tools necessary to setup his own multimodal study.

Target audience

Researchers, engineers and physicians willing to set-up a multimodal study involving – at least – TMS and MRI in the same session.

Objective

This lecture aims at:
1. Understanding the fundamental physical principles of TMS
2. Knowing the main challenges and providing guidelines to follow to setup a successful concurrent TMS-MRI experiment
3. Providing a brief overview of current research using concurrent TMS-MRI

1. The Physics of TMS

TMS and MRI rely on very different physical principles. While MRI relies on the quantum properties of the hydrogen atoms within a magnetic field, TMS relies instead of the application of Faraday’s induction law following a massive change in current through a loop or coil positioned above the subject’s head.
Before stimulation, a strong charge is accumulated in an open circuit. When the circuit closed, electrical current rapidly flows through the coil made of multiple loops generating a magnetic flux below. Magnetic fields penetrate the skull and brain. Its rapid change in magnitude in turns generates an electrical current strong enough to depolarize the membrane of neurons, triggering an action potential at interneuron level. Different TMS orientations activate different populations of cortical neurones/axons in the motor cortical circuitry, or the same populations but at different sites.

2. The characteristics of TMS

TMS can be used as a readout: The white matter and corticospinal tract can be probed via the magnitude / conduction time of motor evoked potentials. Neurotransmission can be studied using short / long term cortical facilitation / inhibition.
But TMS can also be used as a perturbation. Brain connectivity can be assessed using causality / virtual lesions approaches. Repeated TMS can also induce long term potentiation / depression, which is the basis of FDA-approved treatment for depression.
TMS is versatile. It can be performed offline [Session 1 – TMS – Session 2] or online [repetitions of Block with TMS / Block without TMS].

3. The challenges of concurrent TMS-MRI and potential solutions

The main challenges when performing TMS inside the MRI include Neuronavigation in the MRI scanner (are we targeting the proper area?), characteristics of the TMS coil [1-11] (strength, depletion, cooling, weight, holder, space), sham [8], artefacts [9,10], characteristics of the MRI coil (compatibility [7]), TMS control (synchronization), simultaneous vs. concurrent use of TMS and MRI and many more. Doing it wrong can lead to the destruction of the TMS coil and/or MR signal. We’ll review those challenges and propose proven solutions to each particular issue.

4. Applications of concurrent TMS-MRI

When used properly, concurrent TMS-MRI has the potential to: bridge the gap between clinical and biomedical research; better understand cognitive processes by stimulating specific neuronal populations; and manipulate the brain and/or create reversible virtual lesions; all of this while measuring the brain neurovascular response. A review of past and current approaches[1-11] will be done.

Acknowledgements

No acknowledgement found.

References

1 Bohning, D. E., Shastri, A.,Mcconnell, K. A., Nahas, Z., Lorberbaum, J. P., Roberts, D. R., et al. (1999). A combined TMS/fMRI study of intensity-dependent TMS over motor cortex. Biol. Psychiatry 45, 385–394. doi: 10.1016/s0006-3223(98)00368-0

2 Bestmann, S., Baudewig, J., Siebner, H. R., Rothwell, J. C., and Frahm, J. (2004). Functional MRI of the immediate impact of transcranial magnetic stimulation on cortical and subcortical motor circuits. Eur. J. Neurosci. 19, 1950–1962. doi: 10.1111/j.1460-9568.2004.03277.x

3 Dowdle, L. T., Brown, T. R., George, M. S., and Hanlon, C. A. (2018). Single pulse TMS to the DLPFC, compared to a matched sham control, induces a direct, causal increase in caudate, cingulate, and thalamic BOLD signal. Brain Stimul. 11, 789–796. doi: 10.1016/j.brs.2018.02.014

4 Caparelli, E. C., Backus, W., Telang, F., Wang, G.-J., Maloney, T., Goldstein, R. Z., et al. (2010). Simultaneous TMS-fMRI of the visual cortex reveals functional network, even in absence of phosphene sensation. Open Neuroimag. J. 4, 100–110. doi: 10.2174/1874440001004010100

5 Hawco, C., Armony, J. L., Daskalakis, Z. J., Berlim, M. T., Chakravarty, M. M., Pike, G. B., et al. (2017). Differing time of onset of concurrent TMS-fMRI during associative memory encoding: a measure of dynamic connectivity. Front. Hum. Neurosci. 11:404. doi: 10.3389/fnhum.2017.00404

6 Hanlon, C. A., Canterberry, M., Taylor, J. J., Devries, W., Li, X., Brown, T. R., et al. (2013). Probing the frontostriatal loops involved in executive and limbic processing via interleaved TMS and functional MRI at two prefrontal locations: a pilot study. PLoS One 8:e67917. doi: 10.1371/journal.pone.0067917

7 Navarro de Lara, L. I., Tik, M., Woletz, M., Frass-Kriegl, R., Moser, E., Laistler, E., et al. (2017). High-sensitivity TMS/fMRI of the human motor cortex using a dedicated multichannel MR coil. Neuroimage 150, 262–269. doi: 10.1016/j.neuroimage.2017.02.062

8 Jung, J., Bungert, A., Bowtell, R., and Jackson, S. R. (2016). Vertex stimulation as a control site for transcranial magnetic stimulation: a concurrent TMS/fMRI study. Brain Stimul. 9, 58–64. doi: 10.1016/j.brs.2015.09.008

9 Weiskopf, N., Josephs, O., Ruff, C. C., Blankenburg, F., Featherstone, E., Thomas, A., et al. (2009). Image artifacts in concurrent transcranial magnetic stimulation (TMS) and fMRI caused by leakage currents: modeling and compensation. J. Magn. Reson. Imaging 29, 1211–1217. doi: 10.1002/jmri.21749

10 Baudewig, J., Paulus, W., and Frahm, J. (2000). Artifacts caused by transcranial magnetic stimulation coils and EEG electrodes in T(2) -weighted echo-planar imaging. Magn. Reson. Imaging 18, 479–484. doi: 10.1016/s0730-725x(00)00122-3

11 Caparelli EC, Zhai T and Yang Y (2020) Simultaneous Transcranial Magnetic Stimulation and Functional Magnetic Resonance Imaging: Aspects of Technical Implementation. Front. Neurosci. 14:554714. doi: 10.3389/fnins.2020.554714

Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)