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Τρίτη 13 Μαρτίου 2018

Evidence of transcranial direct current stimulation-generated electric fields at subthalamic level in human brain in vivo

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Publication date: Available online 13 March 2018
Source:Brain Stimulation
Author(s): Pratik Y. Chhatbar, Steven A. Kautz, Istvan Takacs, Nathan C. Rowland, Gonzalo J. Revuelta, Mark S. George, Marom Bikson, Wuwei Feng
BackgroundTranscranial direct current stimulation (tDCS) is a promising brain modulation technique for several disease conditions. With this technique, some portion of the current penetrates through the scalp to the cortex and modulates cortical excitability, but a recent human cadaver study questions the amount. This insufficient intracerebral penetration of currents may partially explain the inconsistent and mixed results in tDCS studies to date. Experimental validation of a transcranial alternating current stimulation-generated electric field (EF) in vivo has been performed on the cortical (using electrocorticography, ECoG, electrodes), subcortical (using stereo electroencephalography, SEEG, electrodes) and deeper thalamic/subthalamic levels (using DBS electrodes). However, tDCS-generated EF measurements have never been attempted.Objective/Hypothesis: We aimed to demonstrate that tDCS generates biologically relevant EF as deep as the subthalamic level in vivo.MethodsPatients with movement disorders who have implanted deep brain stimulation (DBS) electrodes serve as a natural experimental model for thalamic/subthalamic recordings of tDCS-generated EF. We measured voltage changes from DBS electrodes and body resistance from tDCS electrodes in three subjects while applying direct current to the scalp at 2 mA and 4 mA over two tDCS montages.ResultsVoltage changes at the level of deep nuclei changed proportionally with the level of applied current and varied with different tDCS montages.ConclusionsOur findings suggest that scalp-applied tDCS generates biologically relevant EF. Incorporation of these experimental results may improve finite element analysis (FEA)-based models.



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