A preliminary study of the impact of lateral head orientations on the current distributions during tDCS

Song, Bo and Menezes de Oliveira, Marilia and Wang, Shuaifang and Li, Yan and Wen, Peng and Ahfock, Tony (2019) A preliminary study of the impact of lateral head orientations on the current distributions during tDCS. In: 12th International Conference on Brain Informatics (BI 2019), 13-15 Dec 2019, Haikou, China.


Abstract

This numerical study pre-validated the impact of lateral head orientations on the current distributions in the brain region during transcranial direct current stimulation (tDCS). A four-layer (scalp, skull, CSF, brain) real shape human head model was constructed with two electrodes configurations (C3-C4, C3-Fp2) and incremental downward displacement (0.5 mm) of the brain due to gravitational force. Sensitivity analysis was conducted on the influence of brain displacement during tDCS. Results of this preliminary study demonstrated that the cerebral current distribution was sensitive to the gravityinduced downward movement of the brain during tDCS, which suggested that lateral head orientations could be a new parameter to consider during tDCS and further research resources could be allocated in the realistic human head based studies to follow up this study. This finding should help both tDCS research and clinical trials to predict the stimulation result more precisely.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: c. Springer Nature Switzerland.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment (1 Aug 2018 -)
Date Deposited: 31 May 2021 06:56
Last Modified: 31 May 2021 06:56
Uncontrolled Keywords: tDCS, human head modelling, lateral head orientation
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460207 Modelling and simulation
40 ENGINEERING > 4017 Mechanical engineering > 401706 Numerical modelling and mechanical characterisation
Identification Number or DOI: https://doi.org/10.1007/978-3-030-37078-7_25
URI: http://eprints.usq.edu.au/id/eprint/42088

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