Analysing vagus nerve spontaneous activity using finite element modelling. (6th April 2021)
- Record Type:
- Journal Article
- Title:
- Analysing vagus nerve spontaneous activity using finite element modelling. (6th April 2021)
- Main Title:
- Analysing vagus nerve spontaneous activity using finite element modelling
- Authors:
- Smets, Hugo
Stumpp, Lars
Julémont, Nicolas
Cury, Joaquin
Debelle, Adrien
Innocenti, Bernardo
Vespa, Simone
Haut, Benoit
Doguet, Pascal
Vanhoestenberghe, Anne
Delbeke, Jean
Tahry, Riëm El
Nonclercq, Antoine - Abstract:
- Abstract: Objective. Finite element modelling has been widely used to understand the effect of stimulation on the nerve fibres. Yet the literature on analysis of spontaneous nerve activity is much scarcer. In this study, we introduce a method based on a finite element model, to analyse spontaneous nerve activity with a typical bipolar electrode recording setup, enabling the identification of spontaneously active fibres. We applied our method to the vagus nerve, which plays a key role in refractory epilepsy. Approach. We developed a 3D model including dynamic action potential (AP) propagation, based on the vagus nerve geometry. The impact of key recording parameters—inter-electrode distance and temperature—and uncontrolled parameters—fibre size and position in the nerve—on the ability to discriminate active fibres were quantified. A specific algorithm was implemented to detect and classify APs from recordings, and tested on six rat in-vivo vagus nerve recordings. Main results. Fibre diameters can be discriminated if they are below 3 μ m and 7 μ m, respectively for inter-electrode distances of 2 mm and 4 mm. The impact of the position of the fibre inside the nerve on fibre diameter discrimination is limited. The range of active fibres identified by modelling in the vagus nerve of rats is in agreement with ranges found at histology. Significance. The nerve fibre diameter, directly proportional to the AP propagation velocity, is related to a specific physiological function.Abstract: Objective. Finite element modelling has been widely used to understand the effect of stimulation on the nerve fibres. Yet the literature on analysis of spontaneous nerve activity is much scarcer. In this study, we introduce a method based on a finite element model, to analyse spontaneous nerve activity with a typical bipolar electrode recording setup, enabling the identification of spontaneously active fibres. We applied our method to the vagus nerve, which plays a key role in refractory epilepsy. Approach. We developed a 3D model including dynamic action potential (AP) propagation, based on the vagus nerve geometry. The impact of key recording parameters—inter-electrode distance and temperature—and uncontrolled parameters—fibre size and position in the nerve—on the ability to discriminate active fibres were quantified. A specific algorithm was implemented to detect and classify APs from recordings, and tested on six rat in-vivo vagus nerve recordings. Main results. Fibre diameters can be discriminated if they are below 3 μ m and 7 μ m, respectively for inter-electrode distances of 2 mm and 4 mm. The impact of the position of the fibre inside the nerve on fibre diameter discrimination is limited. The range of active fibres identified by modelling in the vagus nerve of rats is in agreement with ranges found at histology. Significance. The nerve fibre diameter, directly proportional to the AP propagation velocity, is related to a specific physiological function. Estimating the source fibre diameter is thus essential to interpret neural recordings. Among many possible applications, the present method was developed in the context of a project to improve vagus nerve stimulation therapy for epilepsy. … (more)
- Is Part Of:
- Journal of neural engineering. Volume 18:Number 5(2021)
- Journal:
- Journal of neural engineering
- Issue:
- Volume 18:Number 5(2021)
- Issue Display:
- Volume 18, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 5
- Issue Sort Value:
- 2021-0018-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-06
- Subjects:
- neural computational modelling -- vagus nerve recording -- fibre discrimination -- spontaneous activity identification -- recording setup design
Neurosciences -- Periodicals
Biomedical engineering -- Periodicals
612.8 - Journal URLs:
- http://iopscience.iop.org/1741-2552/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1741-2552/abe68f ↗
- Languages:
- English
- ISSNs:
- 1741-2560
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
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