Effect of model complexity on fiber activation estimates in a wearable neuromodulator for migraine

Migraine is a prevalent and highly disabling disorder. The pharmaceutical and invasive treatment methods have trouble-some side effects and associated risks, hence undesirable. Transcutaneous supraorbital neuromodulation has been shown to potentially suppress episodic migraine attacks yet results ha...

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Bibliographic Details
Published in2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 1 - 4
Main Authors Salkim, Enver, Shiraz, Arsam, Demosthenous, Andreas
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Brain modeling
Computational modeling
Computational models
Conductors
Current density
frontal nerve
Mathematical model
migraine
neuromodulation
Solid modeling
Trajectory
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Summary:Migraine is a prevalent and highly disabling disorder. The pharmaceutical and invasive treatment methods have trouble-some side effects and associated risks, hence undesirable. Transcutaneous supraorbital neuromodulation has been shown to potentially suppress episodic migraine attacks yet results have low efficacy. This inconclusive response may be associated with neuroanatomical variations of 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.
DOI:10.1109/BIOCAS.2017.8325080