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Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain treatment

Articolo
Data di Pubblicazione:
2018
Abstract:
In the last two decades, motor cortex stimulation has been recognized as a valuable alternative to pharmacological therapy for the treatment of neuropathic pain. Although this technique started to be used in clinical studies, the debate about the optimal settings that enhance its effectiveness without inducing tissue damage, is still open. To this purpose, computational approaches applied to realistic human models aimed to assess the current density distribution within the cortex, can be a powerful tool to provide a basic understanding of that technique and could help the design of clinical experimental protocols. This study aims to evaluate, by computational techniques, the current density distributions induced in the brain by a realistic electrode array for cortical stimulation. The simulation outcomes, summarized by specific metrics quantifying the efficacy of the stimulation (i.e. the effective volume and the effective depth of penetration) over two cortical targets, were evaluated by varying the inter-electrode distance, the stimulus characteristics (amplitude and frequency) and the anatomical human model. The results suggest that all these parameters somehow affect the current density distributions and have to be therefore taken into account during the planning of effective electrical cortical stimulation strategies. In particular, our calculations show that: 1) the most effective inter-electrode distance equals 2 cm; 2) increasing voltage amplitudes increases the effective volume; 3) increasing frequencies allow to enlarge the effective volume; 4) the effective depth of penetration is strictly linked to both the anatomy of the subject and the electrode placement.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Motor Cortex Stimulation; computational modelling; brain modelling; neuromodulation; electrodes
Elenco autori:
Fiocchi, Serena; Chiaramello, Emma; Ravazzani, PAOLO GIUSEPPE; Parazzini, Marta
Autori di Ateneo:
CHIARAMELLO EMMA
FIOCCHI SERENA
PARAZZINI MARTA
RAVAZZANI PAOLO GIUSEPPE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/349406
Pubblicato in:
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (ONLINE)
Journal
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URL

https://www.hindawi.com/journals/cmmm/aip/1056132/
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