• DocumentCode
    2533960
  • Title

    Simulation of TES focality using common and novel electrode configurations

  • Author

    Datta, Amitava ; Battaglia, F. ; Bikson, M.

  • Author_Institution
    City Coll. of the CUNY, New York
  • fYear
    2007
  • fDate
    10-11 March 2007
  • Firstpage
    140
  • Lastpage
    141
  • Abstract
    A computational study of transcranial electrical stimulation (TES) is presented using a concentric spheres human head model. Induced electric field distributions are calculated in the model using the finite element method. We simulated a range of electrode configuration geometries including: 1) stimulation with remote scalp electrodes, 2) adjacent electrodes, 3) belt electrodes, and two novel electrode designs: 4) tripolar, and 5) concentric ring. The overall goal of our study is to compute the induced electric field during TES with different electrode geometries in order to determine the optimum configurations to target specific regions of the brain. The "remote bipolar" is comparable with currently commonly used TES configurations and resulted in diffuse activation. The novel "tripolar" electrode required the lowest amount of injected current density. The use of the novel "concentric ring" electrode resulted in optimal focality, at the expense of increased total injected current.
  • Keywords
    biomedical electrodes; brain models; finite element analysis; neuromuscular stimulation; TES focality; electrode configurations; finite element method; human head model; induced electric field; transcranial electrical stimulation; Belts; Computational geometry; Computational modeling; Current density; Electrical stimulation; Electrodes; Finite element methods; Humans; Scalp; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2007. NEBC '07. IEEE 33rd Annual Northeast
  • Conference_Location
    Long Island, NY
  • Print_ISBN
    978-1-4244-1032-3
  • Type

    conf

  • DOI
    10.1109/NEBC.2007.4413318
  • Filename
    4413318