Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation

Shahid, S. and Wen, P. and Ahfock, T. (2012) Effects of model complexity and tissue anisotropic conductivity on cortical modulation during transcranial direct current stimulation. IET Science, Measurement and Technology, 6 (6). pp. 464-473. ISSN 1751-8822

Abstract

An anatomically accurate high-resolution finite element head model and its derivatives have been employed to examine the influence of subcutaneous fat and muscle tissues on cortical modulation. The effects of skull, muscle and WM directional conductivity have also been investigated. Results indicate that the inclusion of additional tissues in the head model have a profound effect on the magnitude and distribution pattern of induced current density. Similarly, anisotropic tissue conductivity caused a significant deterioration in spatial focality of cortical currents along with a more distorted and diffused distribution pattern across the cortex.


Statistics for USQ ePrint 22225
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 17 Dec 2012 06:34
Last Modified: 18 Aug 2014 06:40
Uncontrolled Keywords: brain stimulation; transcranial direct current stimulation; modulation; finite element method
Fields of Research : 10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170205 Neurocognitive Patterns and Neural Networks
09 Engineering > 0903 Biomedical Engineering > 090399 Biomedical Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1049/iet-smt.2012.0014
URI: http://eprints.usq.edu.au/id/eprint/22225

Actions (login required)

View Item Archive Repository Staff Only