Force-current relationships in intraneural stimulation: role of extraneural medium and motor fibre clustering

Frieswijk, T.A.; Smit, J.P.A.; Rutten, Wim; Boom, H.B.K.

doi:10.1007/bf02523209

Cited by 21 publications

(21 citation statements)

References 22 publications

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“…Gradation in stimulation frequency from 15 to 100 Hz produced gradation in muscle force. Frieswijk et al [42] searched for the threshold current for a single 0.1 ms pulse (monopolar stimulation of peroneal nerve with NiCr wire), which can generate a minimal muscle twitch response in the extensor digitorum longus in the rat. They found that the threshold current can be as low as 0.0026 mA.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Tetanic Force Produced by the Sternomastoid Muscle of the Rat

Sobotka

2010

Journal of Biomedicine and Biotechnology

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The sternomastoid (SM) muscle plays an important role in supporting breathing. It also has unique anatomical advantages that allow its wide use in head and neck tissue reconstruction and muscle reinnervation. However, little is known about its contractile properties. The experiments were run on rats and designed to determine in vivo the relationship between muscle force (active muscle contraction to electrical stimulation) with passive tension (passive force changing muscle length) and two parameters (intensity and frequency) of electrical stimulation. The threshold current for initiating noticeable muscle contraction was 0.03 mA. Maximal muscle force (0.94 N) was produced by using moderate muscle length/tension (28 mm/0.08 N), 0.2 mA stimulation current, and 150 Hz stimulation frequency. These data are important not only to better understand the contractile properties of the rat SM muscle, but also to provide normative values which are critical to reliably assess the extent of functional recovery following muscle reinnervation.

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Section: Discussionmentioning

confidence: 99%

Characteristics of Tetanic Force Produced by the Sternomastoid Muscle of the Rat

Sobotka

2010

Journal of Biomedicine and Biotechnology

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“…In both cases, an important research topic regards the optimization of the interface design aimed at improving performance, in terms of low stimulation threshold and high selectivity. For this reason, in the recent past, several groups have developed models addressing issues such as the identification of optimal interface design and positioning [18]- [21], optimal stimulation parameters and innovative waveforms for overcoming the inverse recruitment problem [22]- [26], and improvement of the efficiency of waveform shape [27].…”

mentioning

confidence: 99%

“…The experimental validation is a very important step when developing effective and usable models since it can provide useful information for confirming or falsifying the underlying neurophysiological and physical assumptions. However, given its intrinsic complexity, only a few model validations have been carried out in this field in the past [11], [18], [19], [22], Fig. 1.…”

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confidence: 99%

Correction to “Experimental Validation of a Hybrid Computational Model for Selective Stimulation Using Transverse Intrafascicular Multichannel Electrodes” [May 12 395-404]

Raspopović

Capogrosso

Badía

et al. 2012

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-Recently a hybrid model based on the finite element method and on a compartmental biophysical representation of peripheral nerve fibers and intraneural electrodes was developed founded on experimental physiological and histological data. The model appeared to be robust when dealing with uncertainties in parameter selection. However, an experimental validation of the findings provided by the model is required to fully characterize the potential of this approach. The recruitment properties of selective nerve stimulation using transverse intrafascicular multichannel electrodes (TIME) were investigated in this work in experiments with rats and were compared to model predictions. Animal experiments were performed using the same stimulation protocol as in the computer simulations in order to rigorously validate the model predictions and understand its limitations. Two different selectivity indexes were used, and new indexes for measuring electrode performance are proposed. The model predictions are in decent agreement with experimental results both in terms of recruitment curves and selectivity values. Results show that these models can be used for extensive studies targeting electrode shape design, active sites shape, and multipolar stimulation paradigms. From a neurophysiological point of view, the topographic organization of the rat sciatic nerve, on which the model was based, has been confirmed.Index Terms-Electrical neural stimulation, finite element method, intrafascicular time electrodes, model validation, rat axon model, rat sciatic nerve, selectivity.

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“…The tissue conductivities used can be found in Table 9.1 below. The perineurium conductivity was adjusted, as described by Frieswijk 34 to account for a thicker layer in the model than in the actual nerve. 7 The conductivity of the helical was chosen to be a perfect insulator.…”

Section: Finite Element Modelmentioning

confidence: 99%

“…Epineurium 0.008 [7] Perineurium 0.0023 [7,34] Fascicle -Longitudinal 0.5 [31] Fascicle -Transverse 0.08 [31] Surrounding Tissue 0.2 [7] Connective Tissue (Chronic …”

Section: Conductivity (S/m) Sourcementioning

confidence: 99%

Computational Modeling to Evaluate Helical Electrode Designs for Use in Vagus Nerve Stimulation

Cowley¹

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COMPUTATIONAL MODELLING TO EVALUATE HELICAL ELECTRODE DESIGNS FOR USE IN VAGUS NERVE STIMULATION Anthony CowleyAn estimated 0.5% of world's population has been diagnosed with epilepsy. Of these patients 20-30% will be unable to achieve seizure control with anti-epileptic drugs. Vagus nerve stimulation (VNS) may be an appropriate treatment option for some patients with pharmaceutically refractory, partial-onset seizures.VNS therapy uses a helical electrode to interface between the implantable pulse generator and the vagus nerve. While there have been several studies related to the mechanical and electrical safety of such electrodes, little work has been done toward understanding the effectiveness of the helical electrode in nerve stimulation. A better understanding of the voltage field and nerve fiber activation patterns produced by a helical electrode is necessary in order to evaluate its effectiveness and suggest design improvements.This thesis is primarily focused on investigating the effect on nerve fiber activation of changing the circumferential coverage of the platinum conductor. Finite Element Analysis and a nerve fiber model were used to evaluate several electrode designs.The circumferential coverage caused significant changes to nerve fiber activation. Coverage greater than 330°-360° was found to be inversely related to fiber activation. It was also noted that neurons located near the electrode ends, or near where the ends cross when coverage is greater than 360° were more difficult to activate. The phenomenon is discussed at length and several electrode design improvements were suggested based on these findings. v

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Force-current relationships in intraneural stimulation: role of extraneural medium and motor fibre clustering

Cited by 21 publications

References 22 publications

Characteristics of Tetanic Force Produced by the Sternomastoid Muscle of the Rat

Characteristics of Tetanic Force Produced by the Sternomastoid Muscle of the Rat

Correction to “Experimental Validation of a Hybrid Computational Model for Selective Stimulation Using Transverse Intrafascicular Multichannel Electrodes” [May 12 395-404]

Computational Modeling to Evaluate Helical Electrode Designs for Use in Vagus Nerve Stimulation

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