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On the Importance of Precise Electrode Placement for Targeted Transcranial Electric Stimulation

Overview
Journal Neuroimage
Specialty Radiology
Date 2018 Jul 17
PMID 30010008
Citations 53
Authors
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Abstract

Transcranial electric stimulation (TES) is an increasingly popular method for non-invasive modulation of brain activity and a potential treatment for neuropsychiatric disorders. However, there are concerns about the reliability of its application because of variability in TES-induced intracranial electric fields across individuals. While realistic computational models offer can help to alleviate these concerns, their direct empirical validation is sparse, and their practical implications are not always clear. In this study, we combine direct intracranial measurements of electric fields generated by TES in surgical epilepsy patients with computational modeling. First, we directly validate the computational models and identify key parameters needed for accurate model predictions. Second, we derive practical guidelines for a reliable application of TES in terms of the precision of electrode placement needed to achieve a desired electric field distribution. Based on our results, we recommend electrode placement accuracy to be < 1 cm for a reliable application of TES across sessions.

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References
1.
Oh S, Lee B, Woo E, Lee S, Cho M, Kwon O . Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography. Phys Med Biol. 2003; 48(19):3101-16. DOI: 10.1088/0031-9155/48/19/001. View

2.
Polania R, Nitsche M, Ruff C . Studying and modifying brain function with non-invasive brain stimulation. Nat Neurosci. 2018; 21(2):174-187. DOI: 10.1038/s41593-017-0054-4. View

3.
Windhoff M, Opitz A, Thielscher A . Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models. Hum Brain Mapp. 2011; 34(4):923-35. PMC: 6870291. DOI: 10.1002/hbm.21479. View

4.
Opitz A, Falchier A, Linn G, Milham M, Schroeder C . Limitations of ex vivo measurements for in vivo neuroscience. Proc Natl Acad Sci U S A. 2017; 114(20):5243-5246. PMC: 5441777. DOI: 10.1073/pnas.1617024114. View

5.
Lopez-Alonso V, Cheeran B, Rio-Rodriguez D, Fernandez-Del-Olmo M . Inter-individual variability in response to non-invasive brain stimulation paradigms. Brain Stimul. 2014; 7(3):372-80. DOI: 10.1016/j.brs.2014.02.004. View