2020
DOI: 10.1016/j.neuroimage.2019.116403
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Unification of optimal targeting methods in transcranial electrical stimulation

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Cited by 34 publications
(51 citation statements)
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“…In these two individual head models there was a consistent scalp patch for 10 electrodes over the frontal midline. In addition to the common 10 midline frontal electrodes, both had a large distance between the source/sink pairs which demonstrates the requirement for delivering current to deep cortical sources [15] , [16] , such as the ACC. Therefore, we set ten stimulation electrodes over the frontal midline and the other ten stimulation electrodes over bilateral occipital cortex.…”
Section: Methodsmentioning
confidence: 99%
“…In these two individual head models there was a consistent scalp patch for 10 electrodes over the frontal midline. In addition to the common 10 midline frontal electrodes, both had a large distance between the source/sink pairs which demonstrates the requirement for delivering current to deep cortical sources [15] , [16] , such as the ACC. Therefore, we set ten stimulation electrodes over the frontal midline and the other ten stimulation electrodes over bilateral occipital cortex.…”
Section: Methodsmentioning
confidence: 99%
“…In that case we are left with criterion (2) subject to the power constraint (4). Fernandez-Corazza et al (2019) show that this is equivalent to the least-squares criterion, which was introduced by Dmochowski et al (2011) to achieve focal stimulation. The equivalence is only approximate, but becomes accurate if the target region is chosen to be small.…”
Section: Mathematical Formulationmentioning
confidence: 97%
“…When adjusting the power constraint P max at non-target area, we first calculate a default value of P max as e T A(A T Γ 2 A) −1 A T e, which is the value that makes the criterion equivalent to leastsquares criterion for maximum-focality (Fernandez-Corazza et al, 2019). We then vary this value across 12 different orders of magnitude, i.e., from P max × 10 −3 to P max × 10 8 .…”
Section: Implementation Detailsmentioning
confidence: 99%
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