Detection and inhibition of hyperreflexia-like bladder contractions in the cat by sacral nerve root recording and electrical stimulation

Jezernik, Sašo; Grill, Warren M.; Sinkjær, Thomas

doi:10.1002/1520-6777(2001)20:2<215::aid-nau23>3.0.co;2-0

Cited by 68 publications

(33 citation statements)

References 20 publications

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“…Their placement allows for a more secure interface; however, volume-sensing afferents comprise only a small percentage of the thousands of fibers found within pelvic or sacral nerves. This results in lower amplitudes and lower signal-to-noise ratios (8). The amplitude of the recorded nerve signal also decreases with the larger cuff sizes required in humans, and this is important when considering clinical applicability.…”

Section: Technical Limitations Of Nerve Recordingsmentioning

confidence: 99%

“…They placed a tri-polar cuff electrode on the S3 nerve root and found that phasic responses favored the detection of bladder contractions; however, detecting bladder volume was more difficult due to the high threshold needed with tonic responses. Also, Jezernik et al concluded that it was not feasible to monitor bladder fullness with cuff electrode placement on the sacral nerve root in a cat model (8). In contrast, Mendez et al created and tested a method that successfully estimated bladder volume using ENG signal recording in a rat model (1).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using the Native Afferent Nervous System to Sense Bladder Fullness: State of the Art

Tennyson

Tai

Chermansky

2016

Curr Bladder Dysfunct Rep

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The regulation of micturition involves complex neurophysiologic pathways, and its understanding has grown immensely over the past decade. Alternative approaches and applied technologies in the treatment of bladder dysfunction have minimized the complications that result from neurogenic bladder. The use of natural bladder mechanoreceptors and electroneneurographic (ENG) signal recordings from afferent nerves to chronically monitor bladder volume is a promising concept, but the technology to accomplish this has proven to be a great biomedical engineering challenge. The focus of this paper will be to describe the current state of ENG signal recording as a method to detect bladder fullness.

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Section: Technical Limitations Of Nerve Recordingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using the Native Afferent Nervous System to Sense Bladder Fullness: State of the Art

Tennyson

Tai

Chermansky

2016

Curr Bladder Dysfunct Rep

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“…The extraction of bladder information from peripheral nerve recordings using nerve cuffs has been demonstrated in a number of animal models [9][10][11]18,31 as well as in humans. 17 Whereas many of these studies focused on detecting bladder contractions, bladder volume information is more tonic in nature and has proven more difficult to detect reliably.…”

Section: Introductionmentioning

confidence: 99%

A Phase-Based Electrical Plethysmography Approach to Bladder Volume Measurement

et al. 2015

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Neuromodulation approaches to treating lower urinary tract dysfunction could be substantially improved by a sensor able to detect when the bladder is full. A number of approaches to this problem have been proposed, but none has been found entirely satisfactory. Electrical plethysmography approaches attempt to relate the electrical impedance of the bladder to its volume, but have previously focused only on the amplitudes of the measured signals. We investigated whether the phase relationships between sinusoidal currents applied through a pair of stimulating electrodes and measured through a pair of recording electrodes could provide information about bladder volume. Acute experiments in a rabbit model were used to investigate how phase-to-volume or amplitude-to-volume regression models could be used to predict bladder volumes in future recordings, with and without changes to the saline conductivity. Volume prediction errors were found to be 6.63 ± 1.12 mL using the phase information and 8.32 ± 3.88 mL using the amplitude information (p = 0.44 when comparing the phase and amplitude results, n = 6), where the volume of the filled bladder was about 25 mL. When a full/empty binary decision rule was applied based on the regression model, the difference between the actual threshold that would result from this rule and the desired threshold was found to be 4.24 ± 0.65 mL using the phase information and 106.92 ± 189.82 mL using the amplitude information (p = 0.03, n = 6). Our results suggest that phase information can form the basis for more effective and robust electrical plethysmography approaches to bladder volume measurement.

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“…Measurement interfaces such as ultrasound devices, catheters, or strain gauges may provide good signal quality over short time frames but are not long-term solutions [1], [2]. Several studies that tested direct interfaces with the nervous system demonstrated an ability to detect bladder contractions from pelvic nerve [3], pudendal nerve [4] and sacral root [5]–[7] whole-nerve recordings. However, these approaches must compensate for small signals and interference from non-bladder signals before they become widely used [1].…”

Section: Introductionmentioning

confidence: 99%

Estimating bladder pressure from sacral dorsal root ganglia recordings

Bruns

Gaunt

Weber

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Individuals with dysfunctional bladders may benefit from devices that track the bladder state. Recordings from pelvic and sacral nerve cuffs can detect bladder contractions, however they often have low signal quality and are susceptible to interference from non-bladder signals. Microelectrode recordings from sacral dorsal root ganglia (DRG) neurons may provide an alternate source for obtaining high quality sensory signals for bladder pressure monitoring. In this study, penetrating microelectrode arrays were inserted in the S1 and S2 DRG in two cats to record afferent spiking activity at different bladder pressures. Multivariate linear regression models were used to estimate bladder pressure from the spiking activity of DRG neurons. The best estimates were obtained with populations of 5–10 units primarily from the S2 DRG, with root mean square errors of 3.0–3.2 cm H2O (correlation coefficients of 0.5–0.9). This work demonstrates the feasibility of monitoring bladder pressure from DRG recordings.

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Detection and inhibition of hyperreflexia-like bladder contractions in the cat by sacral nerve root recording and electrical stimulation

Cited by 68 publications

References 20 publications

Using the Native Afferent Nervous System to Sense Bladder Fullness: State of the Art

Using the Native Afferent Nervous System to Sense Bladder Fullness: State of the Art

A Phase-Based Electrical Plethysmography Approach to Bladder Volume Measurement

Estimating bladder pressure from sacral dorsal root ganglia recordings

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