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.

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

Fiocchi S;Chiaramello E;Ravazzani P;Parazzini M
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.
2018
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Motor Cortex Stimulation
computational modelling
brain modelling
neuromodulation
electrodes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/349406
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