Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates

Alexander Opitz, Arnaud Falchier, Chao-Gan Yan, Erin M Yeagle, Gary S Linn, Pierre Megevand, Axel Thielscher, Ross Deborah A, Michael P Milham, Ashesh D Mehta, Charles E Schroeder, Alexander Opitz, Arnaud Falchier, Chao-Gan Yan, Erin M Yeagle, Gary S Linn, Pierre Megevand, Axel Thielscher, Ross Deborah A, Michael P Milham, Ashesh D Mehta, Charles E Schroeder

Abstract

Transcranial electric stimulation (TES) is an emerging technique, developed to non-invasively modulate brain function. However, the spatiotemporal distribution of the intracranial electric fields induced by TES remains poorly understood. In particular, it is unclear how much current actually reaches the brain, and how it distributes across the brain. Lack of this basic information precludes a firm mechanistic understanding of TES effects. In this study we directly measure the spatial and temporal characteristics of the electric field generated by TES using stereotactic EEG (s-EEG) electrode arrays implanted in cebus monkeys and surgical epilepsy patients. We found a small frequency dependent decrease (10%) in magnitudes of TES induced potentials and negligible phase shifts over space. Electric field strengths were strongest in superficial brain regions with maximum values of about 0.5 mV/mm. Our results provide crucial information of the underlying biophysics in TES applications in humans and the optimization and design of TES stimulation protocols. In addition, our findings have broad implications concerning electric field propagation in non-invasive recording techniques such as EEG/MEG.

Conflict of interest statement

A.O. is an inventor on patents and patent applications describing methods and devices for noninvasive brain stimulation.

Figures

Figure 1
Figure 1
Bode plot illustrating the frequency dependency of the magnitude of TES induced electric potentials measured in Monkey 1 (A) and Monkey 2 (B). All shown results are corrected for the dampening of the stimulation and recording system. Normalized mean magnitude over all contacts in dependence of stimulation frequency (log10 units) from 1 Hz–150 Hz for two repeated measurements. A slight decrease in magnitude of up to 10% is visible for higher stimulation strengths.
Figure 2
Figure 2
Bode plot illustrating the frequency dependency of phase differences of TES induced electric potentials measured in Monkey 1 (A) and Monkey 2 (B). Mean phase differences (degree) between all combinations of electrode contacts are shown in dependence of stimulation frequency (log10 units) from 1 Hz–150 Hz for two repeated measurements. Weak phase differences around 1–2 degrees were observed for both monkeys.
Figure 3
Figure 3
Intracranial potential distribution for monkey 1 (A) and monkey 2 (B). Shown is the measured electric potential (in mV scaled for a stimulation intensity of 1 mA, measured at 1 Hz) at different electrode contacts implanted in the left hemisphere. Stimulation electrodes were attached over the left occipital cortex and middle forehead and their locations are indicated with red and blue arrows for both monkeys. A continuously changing posterior - anterior gradient in the electric potential is visible. (C) Stimulation electrodes displayed over the cortical surface for Monkey 1 (left) and Monkey 2 (right).
Figure 4
Figure 4
Intracranial potential distribution for Participant 1 (A) and Participant 2 (B). Measured electric potential (in mV scaled for a stimulation intensity of 1 mA) at different bi-hemispheric stereotactic EEG electrode contacts (Participant 1) or surface ECoG grid on the left hemisphere (Participant 2). Stimulation electrodes were attached bilaterally over the left and right temple in both Participants and indicated with red and blue arrows. A continuously changing left - right gradient in the electric potential is visible for Participant 1. For Participant 2 a sharp change in potential is found close to the left stimulation electrode. Continuously increasing potentials are found with increasing distance to the stimulation electrode. Note the large potentials found in the occipital region are due to the lack of electrode coverage on the right hemisphere which would exhibit even higher values. (C) Stimulation electrodes shown over the cortical surface for Participant 1 (left) and Participant 2 (right, other cross hemispheric electrode not visible).
Figure 5
Figure 5
Intracranial electric field distribution for monkey 1 (A) and monkey 2 (B). The position of the stimulation electrodes on the scalp are indicated with red and blue arrows. The electric field projection along the electrodes (in mV/mm scaled for a stimulation intensity of 1 mA) shows an intricate pattern with high electric fields close to the occipital stimulation electrode (monkey 1). Note that the strongest electric field strength was found not at the most superficial recording electrode but at an electrode a bit deeper in the cortex. The weak electric field strengths near the frontal stimulation electrode are likely due to the larger distance to the frontal electrode. For the second monkey strongly enhanced electric field strength occurred at one electrode. Possible reasons are smaller head size and reduction in muscle tissue that can lead to larger field strengths. Also the contact with highest electric field strength was outside the brain, possibly explaining the large field strength.
Figure 6
Figure 6
Intracranial electric field distribution for Participant 1 (A) and Participant 2 (B) at different bihemispheric stereotactic EEG electrode contacts (Participant 1) or surface ECoG grid on the left hemisphere (Participant 2). The position of the stimulation electrodes on the scalp are indicated with red and blue arrows. Shown is the electric field projection in mV/mm scaled for a stimulation intensity of 1 mA. Highest electric field strength was found at contacts close to the stimulation electrodes (bilaterally) with decreasing strength for increasing depth in the brain for Participant 1. In Participant 2 highest electric field strength was found near the contacts close to the stimulation electrode (left hemisphere) and decreasing values at more remote electrodes.

References

    1. Paulus W. Transcranial electrical stimulation (tES - tDCS; tRNS, tACS) methods. Neuropsychological rehabilitation 21, 602–617 (2011).
    1. Nitsche M. A. & Paulus W. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. The Journal of physiology 527 Pt 3, 633–639 (2000).
    1. Nitsche M. A. & Paulus W. Sustained excitability elevations induced by transcranial DC motor cortex stimulation in humans. Neurology 57, 1899–1901 (2001).
    1. Ozen S. et al.. Transcranial electric stimulation entrains cortical neuronal populations in rats. The Journal of neuroscience: the official journal of the Society for Neuroscience 30, 11476–11485 (2010).
    1. Ali M. M., Sellers K. K. & Frohlich F. Transcranial alternating current stimulation modulates large-scale cortical network activity by network resonance. The Journal of neuroscience: the official journal of the Society for Neuroscience 33, 11262–11275 (2013).
    1. Helfrich R. F. et al.. Entrainment of brain oscillations by transcranial alternating current stimulation. Curr Biol 24, 333–339 (2014).
    1. Coffman B. A., Clark V. P. & Parasuraman R. Battery powered thought: enhancement of attention, learning, and memory in healthy adults using transcranial direct current stimulation. NeuroImage 85 Pt 3, 895–908 (2014).
    1. Kuo M.-F., Paulus W. & Nitsche M. A. Therapeutic effects of non-invasive brain stimulation with direct currents (tDCS) in neuropsychiatric diseases. NeuroImage 85, Part 3, 948–960 (2014).
    1. Bindman L. J., Lippold O. C. & Redfearn J. W. Long-lasting changes in the level of the electrical activity of the cerebral cortex produced bypolarizing currents. Nature 196, 584–585 (1962).
    1. Bikson M. et al.. Effects of uniform extracellular DC electric fields on excitability in rat hippocampal slices in vitro. The Journal of physiology 557, 175–190 (2004).
    1. Reato D., Rahman A., Bikson M. & Parra L. C. Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing. The Journal of neuroscience: the official journal of the Society for Neuroscience 30, 15067–15079 (2010).
    1. Frohlich F. & McCormick D. A. Endogenous electric fields may guide neocortical network activity. Neuron 67, 129–143 (2010).
    1. Anastassiou C. A., Perin R., Markram H. & Koch C. Ephaptic coupling of cortical neurons. Nature neuroscience 14, 217–223 (2011).
    1. Logothetis N. K., Kayser C. & Oeltermann A. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron 55, 809–823 (2007).
    1. Kim D. et al.. Validation of Computational Studies for Electrical Brain Stimulation With Phantom Head Experiments. Brain stimulation 8, 914–925 (2015).
    1. Bedard C., Kroger H. & Destexhe A. Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophysical journal 86, 1829–1842 (2004).
    1. Bedard C., Rodrigues S., Roy N., Contreras D. & Destexhe A. Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function. J Comput Neurosci 29, 389–403 (2010).
    1. Michel C. M. et al.. EEG source imaging. Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology 115, 2195–2222 (2004).
    1. Hahn C. et al.. Methods for extra-low voltage transcranial direct current stimulation: current and time dependent impedance decreases. Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology 124, 551–556 (2013).
    1. Dykstra A. R. et al.. Individualized localization and cortical surface-based registration of intracranial electrodes. NeuroImage 59, 3563–3570 (2012).
    1. Groppe D. M. et al.. Dominant frequencies of resting human brain activity as measured by the electrocorticogram. NeuroImage 79, 223–233 (2013).
    1. Lyons R. & Reducing F. F. T. Scalloping Loss Errors Without Multiplication [DSP Tips and Tricks]. Signal Processing Magazine, IEEE 28, 112–116 (2011).
    1. Plonsey R. & Heppner D. B. Considerations of quasi-stationarity in electrophysiological systems. The Bulletin of mathematical biophysics 29, 657–664 (1967).
    1. Miranda P. C. Physics of effects of transcranial brain stimulation. Handbook of clinical neurology 116, 353–366 (2013).
    1. Gabriel C., Gabriel S. & Corthout E. The dielectric properties of biological tissues: I. Literature survey. Physics in medicine and biology 41, 2231–2249 (1996).
    1. Struber D., Rach S., Trautmann-Lengsfeld S. A., Engel A. K. & Herrmann C. S. Antiphasic 40 Hz oscillatory current stimulation affects bistable motion perception. Brain Topogr 27, 158–171 (2014).
    1. Polania R., Moisa M., Opitz A., Grueschow M. & Ruff C. C. The precision of value-based choices depends causally on fronto-parietal phase coupling. Nature communications 6, 8090 (2015).
    1. Vossen A., Gross J. & Thut G. Alpha Power Increase After Transcranial Alternating Current Stimulation at Alpha Frequency (alpha-tACS) Reflects Plastic Changes Rather Than Entrainment. Brain stimulation 8, 499–508 (2015).
    1. Gabriel S., Lau R. W. & Gabriel C. The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Physics in medicine and biology 41, 2251–2269 (1996).
    1. Wagner T., Valero-Cabre A. & Pascual-Leone A. Noninvasive Human Brain Stimulation. Annu Rev Biomed Eng 9, 527–565 (2007).
    1. Wagner T. et al.. Impact of brain tissue filtering on neurostimulation fields: a modeling study. NeuroImage 85 Pt 3, 1048–1057 (2014).
    1. Gabriel C., Peyman A. & Grant E. H. Electrical conductivity of tissue at frequencies below 1 MHz. Physics in medicine and biology 54, 4863–4878 (2009).
    1. Plonsey R. Reciprocity Applied to Volume Conductors and the ECG. IEEE Trans Biomed Eng 10, 9–12 (1963).
    1. Rush S. & Driscoll D. A. EEG Electrode Sensitivity-An Application of Reciprocity. Biomedical Engineering, IEEE Transactions on BME–16, 15–22 (1969).
    1. Pritchard W. S. The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram. The International journal of neuroscience 66, 119–129 (1992).
    1. Datta A. et al.. Gyri-precise head model of transcranial direct current stimulation: improved spatial focality using a ring electrode versus conventional rectangular pad. Brain stimulation 2, 201–207, 207 e201 (2009).
    1. Miranda P. C., Mekonnen A., Salvador R. & Ruffini G. The electric field in the cortex during transcranial current stimulation. NeuroImage 70, 48–58 (2013).
    1. Radman T., Su Y., An J. H., Parra L. C. & Bikson M. Spike timing amplifies the effect of electric fields on neurons: implications for endogenous field effects. The Journal of neuroscience: the official journal of the Society for Neuroscience 27, 3030–3036 (2007).
    1. López-Alonso V., Cheeran B., Río-Rodríguez D. & Fernández-del-Olmo M. Inter-individual Variability in Response to Non-invasive Brain Stimulation Paradigms. BRAIN STIMULATION: Basic, Translational, and Clinical Research in Neuromodulation (2014).
    1. Wiethoff S., Hamada M. & Rothwell J. C. Variability in response to transcranial direct current stimulation of the motor cortex. BRAIN STIMULATION: Basic, Translational, and Clinical Research in Neuromodulation (2014).
    1. Dmochowski J. P., Datta A., Bikson M., Su Y. & Parra L. C. Optimized multi-electrode stimulation increases focality and intensity at target. Journal of neural engineering 8, 046011 (2011).
    1. Opitz A., Paulus W., Will S., Antunes A. & Thielscher A. Determinants of the electric field during transcranial direct current stimulation. NeuroImage 109C, 140–150 (2015).
    1. Berenyi A., Belluscio M., Mao D. & Buzsaki G. Closed-loop control of epilepsy by transcranial electrical stimulation. Science 337, 735–737 (2012).

Source: PubMed

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