Does the conduction velocity distribution change along the nerve?

Pehlivan, Ferit; Dalkılıç, Nizamettin; Kızıltan, Erhan

doi:10.1016/j.medengphy.2004.02.009

Cited by 13 publications

(15 citation statements)

References 17 publications

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“…In order to compensate the volume conductor effects arisen due to the experimental conditions, CAP signals were corrected by the spatial correction procedure as described by Dalkilic and Pehlivan (Dalkilic & Pehlivan, 2002b;Pehlivan et al, 2004). Then, the corrected CAP (cCAP) signals belonging to each nerve trunk were normalized (ncCAP) by choosing the area of cCAP of the first recording point as reference.…”

Section: Cap Correction and Analysismentioning

confidence: 99%

“…This is because of the change in conductive properties of extracellular matrix between recording and reference electrode that is known as "volume conductor effect," but not because of the change in voltage source itself (Dalkilic & Pehlivan, 2002b). Compensating for the volume conductor effect by applying appropriate correction procedure yields corrected CAP (cCAP), which includes the changes only caused by conduction velocity dispersion (Pehlivan et al, 2004). Therefore, any additional change in cCAP pattern may be attributed to the pathology intrinsic to the nerve trunk itself.…”

Section: Introductionmentioning

confidence: 99%

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Assesment Criteria for Experimental Demyelination Induced in Frog Peripheral Nerve

Kızıltan

Pehlivan

2006

International Journal of Neuroscience

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In ideal conditions the area under compound action potential may be used as an index for the number of activated fibers in a nerve trunk whereas peak amplitude, maximum time derivative, and duration may be used as an indicator for the rate of contribution to compound action potential and the degree of velocity dispersion. In this study, the time domain effect of demyelination on compound action potential has been investigated in experimentally demyelinated frog sciatic nerve. The results were analyzed in order to suggest criteria for demyelination. The results suggest that the changes in peak amplitude and maximum time derivative of compound action potential that is made up by the contribution of the active fibers may be more useful in the assessment of early phase of demyelination. Therefore, it may be concluded that these two parameters, intrinsically, carry augmented information on the velocity dispersion originated from larger-diameter fibers.

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Section: Cap Correction and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assesment Criteria for Experimental Demyelination Induced in Frog Peripheral Nerve

Kızıltan

Pehlivan

2006

International Journal of Neuroscience

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“…While it is acknowledged that there is evidence that the threshold required to excite a nerve fiber is not a precise value but fluctuates over a small range, this study assumes a fixed value of stimulus current, dependent on nerve fiber size, for fiber recruitment [15]. It is further assumed that the CVD is invariant along the nerve although there is some evidence to the contrary [16]. A lin ear relationship between conduction velocity and fiber diameter is also assumed [17], although there is some evidence that pathological con ditions, such as disruption of the myelin, can result in this relationship becoming nonlinear [18].…”

Section: Methodsmentioning

confidence: 99%

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

Szlavik

2008

IEEE Trans. Biomed. Eng.

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Abstract-The ability to determine the characteristics of peripheral nerve fiber size distributions would provide additional information to clini cians for the diagnosis of specific pathologies of the peripheral nervous sys tem. Investigation of these conditions, using electrodiagnostic techniques, is advantageous in the sense that such techniques tend to be minimally invasive yet provide valuable diagnostic information. One of the principal electrodiagnostic tools available to the clinician is the nerve conduction ve locity test. While the peripheral nerve conduction velocity test can provide useful information to the clinician regarding the viability of the nerve under study, it is a single-parameter test that yields no detailed information about the characteristics of the functioning nerve fibers within the nerve trunk. In this study, we present a technique based on decomposition of the maximal compound evoked potential and subsequent determination of the group delay of the contributing nerve fibers. The fiber group delay is then utilized as an initial estimation of the nerve fiber size distribution and the associ ated temporal propagation delays of the single-fiber-evoked potentials to a reference electrode. Simulation studies, based on deterministic single-fiber action potential functions, are used to demonstrate the robustness of the proposed technique in the presence of simulated noise associated with the recording process.Index Terms-Conduction velocity distribution (CVD), group delay, nerve fiber size distribution.

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“…This can be explained by thoughts on the CAP. Indeed, the sole consideration of volume conductor effect is not enough to reproduce conduction velocity distribution in sciatic nerve [32] , therefore because of numerous factors like fiber torsion, diameter inhomogeneity along one axon, among axons, and among optic nerve regions [33] , CAP interpretation cannot be too precise. Consequently it has to be expected that many interesting features about RON fibers are still to be discovered.…”

Section: A-currentmentioning

confidence: 99%

Evoked membrane potential change in rat optic nerve fiber: Computer simulation

Cazenave-Loustalet¹,

Qiao²,

Li³

et al. 2007

Neurosci. Bull.

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Objective The optic nerve is a key component regarding research on visual prosthesis. Previous pharmacological and electrical studies has pinned down the main features of the mechanisms underlying the nerve impulse in the rat optic nerve, and this work proposed a mathematical model to simulate these phenomena. Methods The main active nodal channels: fast Na + , persistent Na + , slow K + and a fast repolarizing K + (A-current) were added on a double layer representation of the axon. A simplified representation of K + accumulation and clearance in the vicinity of the Ranvier node was integrated in this model. Results The model was able to generate the following features. In the presence of 4-aminopyridine (4-AP), spike duration increased and a depolarizing afterpotential (DAP) appeared. In the presence of 4-AP and tetraethylammonium (TEA), the DAP was followed by a hyperpolarizing afterpotential (AHP) and the amplitude of this AHP increased with the frequency of the stimulation. In normal conditions (no drugs): DAP and AHP were absent after a single action potential (AP) and a short train of AP; there was a relative refractoriness in amplitude lasting for 30 ms after an AP; an early AHP was revealed by a continuous depolarizing current; and there was a partial spike adaptation for a long current step stimulus. Conclusion The model successfully reproduced previous experiments results including long-lasting stimulation experiment, which is known to modify nerve physiological parameter values and is a key issue for visual prosthesis research.

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Does the conduction velocity distribution change along the nerve?

Cited by 13 publications

References 17 publications

Assesment Criteria for Experimental Demyelination Induced in Frog Peripheral Nerve

Assesment Criteria for Experimental Demyelination Induced in Frog Peripheral Nerve

A Novel Method for Characterization of Peripheral Nerve Fiber Size Distributions by Group Delay

Evoked membrane potential change in rat optic nerve fiber: Computer simulation

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