Literature DB >> 24310982

Investigation of tDCS volume conduction effects in a highly realistic head model.

S Wagner1, S M Rampersad, Ü Aydin, J Vorwerk, T F Oostendorp, T Neuling, C S Herrmann, D F Stegeman, C H Wolters.   

Abstract

OBJECTIVE: We investigate volume conduction effects in transcranial direct current stimulation (tDCS) and present a guideline for efficient and yet accurate volume conductor modeling in tDCS using our newly-developed finite element (FE) approach. APPROACH: We developed a new, accurate and fast isoparametric FE approach for high-resolution geometry-adapted hexahedral meshes and tissue anisotropy. To attain a deeper insight into tDCS, we performed computer simulations, starting with a homogenized three-compartment head model and extending this step by step to a six-compartment anisotropic model. MAIN
RESULTS: We are able to demonstrate important tDCS effects. First, we find channeling effects of the skin, the skull spongiosa and the cerebrospinal fluid compartments. Second, current vectors tend to be oriented towards the closest higher conducting region. Third, anisotropic WM conductivity causes current flow in directions more parallel to the WM fiber tracts. Fourth, the highest cortical current magnitudes are not only found close to the stimulation sites. Fifth, the median brain current density decreases with increasing distance from the electrodes. SIGNIFICANCE: Our results allow us to formulate a guideline for volume conductor modeling in tDCS. We recommend to accurately model the major tissues between the stimulating electrodes and the target areas, while for efficient yet accurate modeling, an exact representation of other tissues is less important. Because for the low-frequency regime in electrophysiology the quasi-static approach is justified, our results should also be valid for at least low-frequency (e.g., below 100 Hz) transcranial alternating current stimulation.

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Year:  2013        PMID: 24310982     DOI: 10.1088/1741-2560/11/1/016002

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  42 in total

1.  Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target.

Authors:  Christian Schmidt; Sven Wagner; Martin Burger; Ursula van Rienen; Carsten H Wolters
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

Review 2.  Low intensity transcranial electric stimulation: Safety, ethical, legal regulatory and application guidelines.

Authors:  A Antal; I Alekseichuk; M Bikson; J Brockmöller; A R Brunoni; R Chen; L G Cohen; G Dowthwaite; J Ellrich; A Flöel; F Fregni; M S George; R Hamilton; J Haueisen; C S Herrmann; F C Hummel; J P Lefaucheur; D Liebetanz; C K Loo; C D McCaig; C Miniussi; P C Miranda; V Moliadze; M A Nitsche; R Nowak; F Padberg; A Pascual-Leone; W Poppendieck; A Priori; S Rossi; P M Rossini; J Rothwell; M A Rueger; G Ruffini; K Schellhorn; H R Siebner; Y Ugawa; A Wexler; U Ziemann; M Hallett; W Paulus
Journal:  Clin Neurophysiol       Date:  2017-06-19       Impact factor: 3.708

3.  Presynaptic and postsynaptic effects of local cathodal DC polarization within the spinal cord in anaesthetized animal preparations.

Authors:  F Bolzoni; E Jankowska
Journal:  J Physiol       Date:  2014-12-23       Impact factor: 5.182

4.  Transcranial direct current stimulation can selectively affect different processing channels in human visual cortex.

Authors:  Thiago L Costa; Russell D Hamer; Balázs V Nagy; Mirella T S Barboni; Mirella Gualtieri; Paulo S Boggio; Dora F Ventura
Journal:  Exp Brain Res       Date:  2015-01-20       Impact factor: 1.972

5.  Comparative modeling of transcranial magnetic and electric stimulation in mouse, monkey, and human.

Authors:  Ivan Alekseichuk; Kathleen Mantell; Sina Shirinpour; Alexander Opitz
Journal:  Neuroimage       Date:  2019-03-22       Impact factor: 6.556

6.  Detecting large-scale networks in the human brain using high-density electroencephalography.

Authors:  Quanying Liu; Seyedehrezvan Farahibozorg; Camillo Porcaro; Nicole Wenderoth; Dante Mantini
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

7.  A combined diffusion-weighted and electroencephalography study on age-related differences in connectivity in the motor network during bimanual performance.

Authors:  Parinaz Babaeeghazvini; Laura Milena Rueda-Delgado; Hamed Zivari Adab; Jolien Gooijers; Stephan Swinnen; Andreas Daffertshofer
Journal:  Hum Brain Mapp       Date:  2018-12-26       Impact factor: 5.038

8.  Changing head model extent affects finite element predictions of transcranial direct current stimulation distributions.

Authors:  Aprinda Indahlastari; Munish Chauhan; Benjamin Schwartz; Rosalind J Sadleir
Journal:  J Neural Eng       Date:  2016-10-05       Impact factor: 5.379

Review 9.  Current challenges: the ups and downs of tACS.

Authors:  Nicholas S Bland; Martin V Sale
Journal:  Exp Brain Res       Date:  2019-10-16       Impact factor: 1.972

10.  Benchmarking transcranial electrical stimulation finite element models: a comparison study.

Authors:  Aprinda Indahlastari; Munish Chauhan; Rosalind J Sadleir
Journal:  J Neural Eng       Date:  2019-01-03       Impact factor: 5.379

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