Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation

Song, Bo and Wen, Peng and Ahfock, Tony and Li, Yan (2016) Numeric investigation of brain tumor influence on the current distributions during transcranial direct current stimulation. IEEE Transactions on Biomedical Engineering , 63 (1). pp. 176-187. ISSN 0018-9294

Abstract

This study constructed a series of high-resolution realistic human-head models with brain tumors, and numerically investigated the influence of brain tumor's location and grade on the current distributions, under different electrode montages during tDCS. The threshold area and the peak current density were also derived and analyzed in the region of interest. The simulation result showed that it is safe to apply tDCS on the patients with brain tumors to treat their neuropsychiatric conditions and cancer pain caused by the tumor; although considerable changes of the current distributions are induced by the presence of a brain tumor. In addition, several observations on the global and local influences of tumor grade and possible edema have been made as well. These findings should be helpful for researchers and clinical doctors to treat patients with brain tumors. This study is also the first numerical study to fill in the gap of tDCS applications on the patients with brain tumors.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions..
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 05 Jul 2016 02:18
Last Modified: 05 Jul 2016 05:27
Uncontrolled Keywords: brain tumor; human-head model; transcranial direct current stimulation (tDCS)
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Socio-Economic Objective: C Society > 92 Health > 9202 Health and Support Services > 920299 Health and Support Services not elsewhere classified
Identification Number or DOI: 10.1109/TBME.2015.2468672
URI: http://eprints.usq.edu.au/id/eprint/28811

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