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Computational Study on Transcutaneous Frontal Nerve Stimulation: Simplification of Human Head Model

Salkim, E; Shiraz, AN; Demosthenous, A; (2017) Computational Study on Transcutaneous Frontal Nerve Stimulation: Simplification of Human Head Model. In: (Proceedings) COMSOL Conference 2017, 18-21 October 2017, Rotterdam, Netherlands. COMSOL Green open access

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Abstract

Migraine is a highly disabling disorder of the brain which may affect patients both socially and economically. The pharmaceutical and invasive treatment methods may have undesirable side effects and associated risks. It has recently been shown that transcutaneous supraorbital neuromodulation may suppress episodic migraine attacks. However, results have indicated low efficacy. This inconclusive response may be associated with neuro-anatomical variations in patients which may be investigated using computational models. Model complexity is a limiting factor in implementing such techniques. This paper investigates the effect of model complexity on fiber activation estimates in transcutaneous frontal nerve stimulation. It is shown that the model can be simplified while minimally affecting the outcome.

Type: Proceedings paper
Title: Computational Study on Transcutaneous Frontal Nerve Stimulation: Simplification of Human Head Model
Event: COMSOL Conference 2017, 18-21 October 2017, Rotterdam, Netherlands
Location: Rotterdam
Dates: 18 October 2017 - 21 October 2017
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.comsol.se/paper/computational-study-on...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Computational models, frontal nerve, migraine, neuromodulation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10054351
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