Analysis of the Selective Nature of Sensory Nerve Stimulation Using Different Sinusoidal Frequencies

Langille, Matthew; Gonzalez-Cueto, J.A.; Sundar, Swarna

doi:10.1080/00207450701769323

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…A similar strategy may be useful for the retina as well. While the threshold differences measured physiologically and calculated in our models were in response to short duration pulses, other stimulus waveforms have begun to be evaluated [33; 34]. A more complete understanding of the activation process will enable accurate computational evaluation so that a wide range of stimulus waveforms and parameters do not have to be evaluated physiologically in order to optimize stimulation methods.…”

Section: Discussionmentioning

confidence: 99%

The sodium channel band shapes the response to electric stimulation in retinal ganglion cells

et al. 2011

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To improve the quality of prosthetic vision, it is desirable to understand how targeted retinal neurons respond to stimulation. Unfortunately, the factors that shape the response of a single neuron to stimulation are not well understood. A dense band of voltage gated sodium channels within the proximal axon of retinal ganglion cells is the site most sensitive to electric stimulation, suggesting that band properties are likely to influence the response to stimulation. Here, we examined how three band properties influence sensitivity using a morphologically realistic ganglion cell model in NEURON. Longer bands were more sensitive to short-duration pulses than shorter bands and increasing the distance between band and soma also increased sensitivity. Simulations using the known limits of band length and location resulted in a sensitivity difference of approximately two. Additional simulations tested how changes to sodium channel conductance within the band influenced threshold and found that the sensitivity difference increased to a factor of nearly three. This is close to the factor of 5 difference measured in physiological studies suggesting that band properties contribute significantly to the sensitivity differences found between different types of retinal neurons.

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Section: Discussionmentioning

confidence: 99%

The sodium channel band shapes the response to electric stimulation in retinal ganglion cells

et al. 2011

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“…The use of more complex stimulus waveforms is currently being explored to determine if they can provide better selectivity over conventional pulsatile stimuli (Langille et al 2008; Cantrell and Troy 2009; Freeman et al 2010c; Foutz and McIntyre 2010). For example, a recent study found that low frequency sinusoidal waveforms (10–25Hz) produced robust synaptic responses (i.e.…”

Section: The Response Of Retinal Neurons To Electric Stimulationmentioning

confidence: 99%

Encoding visual information in retinal ganglion cells with prosthetic stimulation

2011

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Retinal prostheses aim to restore functional vision to those blinded by outer retinal diseases using electric stimulation of surviving retinal neurons. The ability to replicate the spatiotemporal pattern of ganglion cell spike trains present under normal viewing conditions is presumably an important factor for restoring high-quality vision. In order to replicate such activity with a retinal prosthesis, it is important to consider both how visual information is encoded in ganglion cell spike trains, and how retinal neurons respond to electric stimulation. The goal of the current review is to bring together these two concepts in order to guide the development of more effective stimulation strategies. We review the experiments to date that have studied how retinal neurons respond to electric stimulation and discuss these findings in the context of known retinal signaling strategies. The results from such in vitro studies reveal the advantages and disadvantages of activating the ganglion cell directly with the electric stimulus (direct activation) as compared to activation of neurons that are presynaptic to the ganglion cell (indirect activation). While direct activation allows high temporal but low spatial resolution, indirect activation yields improved spatial resolution but poor temporal resolution. Finally, we use knowledge gained from in vitro experiments to infer the patterns of elicited activity in ongoing human trials, providing insights into some of the factors limiting the quality of prosthetic vision.

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“…The use of alternative stimulation waveforms (i.e., nonpulsatile) for electric stimulation has not been well explored (but see also Cantrell and Troy 2009;Langille et al 2008). This may be caused in part by the early successes of pulsatile stimulation in cochlear implants and DBS for Parkinson's disease.…”

Section: Introductionmentioning

confidence: 99%

Selective Activation of Neuronal Targets With Sinusoidal Electric Stimulation

Freeman

Eddington

Rizzo

et al. 2010

Journal of Neurophysiology

140

136

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Electric stimulation of the CNS is being evaluated as a treatment modality for a variety of neurological, psychiatric, and sensory disorders. Despite considerable success in some applications, existing stimulation techniques offer little control over which cell types or neuronal substructures are activated by stimulation. The ability to more precisely control neuronal activation would likely improve the clinical outcomes associated with these applications. Here, we show that specific frequencies of sinusoidal stimulation can be used to preferentially activate certain retinal cell types: photoreceptors are activated at 5 Hz, bipolar cells at 25 Hz, and ganglion cells at 100 Hz. In addition, low-frequency stimulation (≤25 Hz) did not activate passing axons but still elicited robust synaptically mediated responses in ganglion cells; therefore, elicited neural activity is confined to within a focal region around the stimulating electrode. Our results suggest that sinusoidal stimulation provides significantly improved control over elicited neural activity relative to conventional pulsatile stimulation.

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Analysis of the Selective Nature of Sensory Nerve Stimulation Using Different Sinusoidal Frequencies

Cited by 15 publications

References 9 publications

The sodium channel band shapes the response to electric stimulation in retinal ganglion cells

The sodium channel band shapes the response to electric stimulation in retinal ganglion cells

Encoding visual information in retinal ganglion cells with prosthetic stimulation

Selective Activation of Neuronal Targets With Sinusoidal Electric Stimulation

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