Literature DB >> 19666341

Unmyelinated Aplysia nerves exhibit a nonmonotonic blocking response to high-frequency stimulation.

Laveeta Joseph1, Robert J Butera.   

Abstract

The application of high-frequency alternating current (HFAC) stimulation to reversibly block conduction in peripheral nerves has been under investigation for decades. Computational studies have produced ambiguous results since they have been based on axon models that are perhaps not valid for the nerves in which the phenomenon has been demonstrated. Though simulations based on the Hodgkin-Huxley unmyelinated nerve cable model have been used to understand the phenomena, the isolated response of an unmyelinated nerve to HFAC waveforms has not been experimentally investigated. To understand the effect of HFAC waveforms in homogenous nerves, experiments were conducted on purely unmyelinated nerves of the sea-slug Aplysia californica. Sinusoidal waveforms in the range of 5-50 kHz were used to block the propagation of action potentials through the nerves. The time for complete recovery from block was found to be dependent on the duration of application of the HFAC waveform but was independent of the frequency of the waveform tested. Unlike data from simulations and experiments on myelinated nerves, the minimum HFAC amplitude for blocking conduction in these unmyelinated nerves exhibited a unique nonmonotonic relationship with frequency, which may be advantageous in various neurophysiological applications.

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Year:  2009        PMID: 19666341     DOI: 10.1109/TNSRE.2009.2029490

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  19 in total

1.  Alternating current and infrared produce an onset-free reversible nerve block.

Authors:  Emilie H Lothet; Kevin L Kilgore; Niloy Bhadra; Narendra Bhadra; Tina Vrabec; Yves T Wang; E Duco Jansen; Michael W Jenkins; Hillel J Chiel
Journal:  Neurophotonics       Date:  2014-07-28       Impact factor: 3.593

2.  Differential fiber-specific block of nerve conduction in mammalian peripheral nerves using kilohertz electrical stimulation.

Authors:  Yogi A Patel; Robert J Butera
Journal:  J Neurophysiol       Date:  2015-04-15       Impact factor: 2.714

3.  Dynamics and sensitivity analysis of high-frequency conduction block.

Authors:  D Michael Ackermann; Niloy Bhadra; Meana Gerges; Peter J Thomas
Journal:  J Neural Eng       Date:  2011-11-04       Impact factor: 5.379

4.  Electrical conduction block in large nerves: high-frequency current delivery in the nonhuman primate.

Authors:  D Michael Ackermann; Christian Ethier; Emily L Foldes; Emily R Oby; Dustin Tyler; Matt Bauman; Niloy Bhadra; Lee Miller; Kevin L Kilgore
Journal:  Muscle Nerve       Date:  2011-06       Impact factor: 3.217

5.  Effect of non-symmetric waveform on conduction block induced by high-frequency (kHz) biphasic stimulation in unmyelinated axon.

Authors:  Shouguo Zhao; Guangning Yang; Jicheng Wang; James R Roppolo; William C de Groat; Changfeng Tai
Journal:  J Comput Neurosci       Date:  2014-06-14       Impact factor: 1.621

6.  High-frequency stimulation selectively blocks different types of fibers in frog sciatic nerve.

Authors:  Laveeta Joseph; Robert J Butera
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-08-18       Impact factor: 3.802

Review 7.  Measurement of block thresholds in kiloHertz frequency alternating current peripheral nerve block.

Authors:  Leah Marie Roldan; Thomas E Eggers; Kevin L Kilgore; Narendra Bhadra; Tina Vrabec; Niloy Bhadra
Journal:  J Neurosci Methods       Date:  2019-01-11       Impact factor: 2.390

8.  Post-stimulation block of frog sciatic nerve by high-frequency (kHz) biphasic stimulation.

Authors:  Guangning Yang; Zhiying Xiao; Jicheng Wang; Bing Shen; James R Roppolo; William C de Groat; Changfeng Tai
Journal:  Med Biol Eng Comput       Date:  2016-07-01       Impact factor: 2.602

9.  Counted cycles method to measure the block inception time of kiloHertz frequency mammalian motor nerve block.

Authors:  N Bhadra; E L Foldes; M R Gerges; D M Ackermann; N Bhadra; K L Kilgore
Journal:  J Neurosci Methods       Date:  2019-12-26       Impact factor: 2.390

10.  Effects of frequency-dependent membrane capacitance on neural excitability.

Authors:  Bryan Howell; Leonel E Medina; Warren M Grill
Journal:  J Neural Eng       Date:  2015-09-08       Impact factor: 5.379

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