Decoding intravesical pressure from local field potentials in rat lumbosacral spinal cord

Im, Changkyun; Park, Hae Yong; Koh, Chin Su; Ryu, Sang Baek; Seo, In Seok; Kim, Yong Jung; Kim, Kyung Hwan; Shin, Hyung Cheul

doi:10.1088/1741-2560/13/5/056005

Cited by 9 publications

(17 citation statements)

References 36 publications

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“…The average correlation coefficients for saline trials and acetic acid trials for real-time estimation (Table II) are higher than two previous offline studies where correlation coefficients were reported (0.81 in Ross et al and ~0.82 in Im et al) [9], [10]. The higher bladder decoding correlations in our study suggest that our Kalman model provides an improved approach over prior studies, particularly in tracking relative changes in bladder pressure.…”

Section: Discussioncontrasting

confidence: 64%

Real-Time Bladder Pressure Estimation for Closed-Loop Control in a Detrusor Overactivity Model

Ouyang

Sperry

Barrera

et al. 2019

IEEE Trans. Neural Syst. Rehabil. Eng.

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Overactive bladder (OAB) patients suffer from a frequent urge to urinate, which can lead to a poor quality of life. Current neurostimulation therapy uses open-loop electrical stimulation to alleviate symptoms. Continuous stimulation facilitates habituation of neural pathways and consumes battery power. Sensory feedback-based closed-loop stimulation may offer greater clinical benefit by driving bladder relaxation only when bladder contractions are detected, leading to increased bladder capacity. Effective delivery of such sensory feedback, particularly in real-time, is necessary to accomplish this goal. We implemented a Kalman filter-based model to estimate bladder pressure in real-time using unsorted neural recordings from sacral-level dorsal root ganglia, achieving a 0.88 ± 0.16 correlation coefficient fit across thirty-six normal and simulated OAB bladder fills in five experiments. We also demonstrated closed-loop neuromodulation using the estimated pressure to trigger pudendal nerve stimulation, which increased bladder capacity by 40% in two trials. An offline analysis indicated that unsorted neural signals had a similar stability over time as compared to sorted single units, which would require a higher computational load. We believe this study demonstrates the utility of decoding bladder pressure from neural activity for closed-loop control; however, real-time validation during behavioral studies is necessary prior to clinical translation.

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Section: Discussioncontrasting

confidence: 64%

Real-Time Bladder Pressure Estimation for Closed-Loop Control in a Detrusor Overactivity Model

Ouyang

Sperry

Barrera

et al. 2019

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…One concern about dorsal horn recording is the risk of tissue reaction or spinal compression due to the invasive technique applied in this experiment 19 . However, using just one single electrode minimizes this risk.…”

Section: Discussionmentioning

confidence: 99%

“…This is the principle issue to be investigated in this paper. The sensory signals recorded from dorsal horn of spinal cord have been used previously for detecting the sensory events generated by electrical stimulation 18 and decoding intravesical pressure in rat 19 .…”

Section: Introductionmentioning

confidence: 99%

Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm

Yeganegi

Fathi

Erfanian

2018

Sci Rep

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Decoding continuous hind limb joint angles from sensory recordings of neural system provides a feedback for closed-loop control of hind limb movement using functional electrical stimulation. So far, many attempts have been done to extract sensory information from dorsal root ganglia and sensory nerves. In this work, we examine decoding joint angles trajectories from the single-electrode extracellular recording of dorsal horn gray matter of the spinal cord during passive limb movement in anesthetized cats. In this study, a processing framework based on ensemble learning approach is propose to combine firing rate (FR) and interspike interval (ISI) information of the neuronal activity. For this purpose, a stacked generalization approach based on recurrent neural network is proposed to enhance decoding accuracy of the movement kinematics. The results show that the high precision neural decoding of limb movement can be achieved even with a single electrode implanted in the spinal cord gray matter.

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“…While on-demand pelvic nerve stimulation at prestipulated timepoints can help to empty the bladder, available on-line information about the fullness of the bladder could enable more flexible on-demand scheduling, and more effective delivery of stimulation under a closed-loop neuromodulation scheme 21 . Other than implanting devices that detect bladder size or pressure changes directly 32 , previous studies have shown that it was possible to correlate intravesical pressures with in vivo neural recordings obtained from the pelvic nerve [33][34][35] , pudendal nerve 36 , dorsal root ganglion 37 , and lumbar/sacral roots [38][39][40][41] in various species (e.g. mice, rats, cats, and pigs).…”

Section: Discussionmentioning

confidence: 99%

Neuromodulation of pelvic nerve during early phase of spinal cord injury in rats using implantable prototype devices - a preliminary study

Peh

Alam

Ahmed

et al. 2019

Preprint

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ObjectivesThe bladder becomes retentive during the early phase of spinal cord injury, and requires proper bladder management to prevent damage to the lower urinary tract and kidney. We investigated the effects of on-demand pelvic nerve stimulation on the areflexive bladder during the earliest phase of complete spinal cord injury in rats and the use of pelvic nerve signals as a proxy to estimate intravesical pressure for closed-loop applications. Materials and MethodsIn order to stimulate the pelvic nerves in female Sprague-Dawley rats with complete spinal cord transection (T7 level), a flexible electrode was implanted unilaterally on pelvic nerve, and electrical stimulation was provided by a custom-built nerve stimulator. Stimulationevoked voiding was monitored in the awake state while size, capacity and spontaneous contractions of the bladder were analysed under anaesthesia. Separately, recordings of the pelvic nerve signals, external urethral sphincter activity and intravesical pressure were performed in animals with intact and transected spinal cord under anaesthesia. ResultsSuccessful pelvic nerve stimulation enabled more frequent voiding, reduced overdistension of bladder, and preserved non-voiding spontaneous bladder contractions.Typical bladder management protocol for SCI rats (manual expression every 8 -12 hours) resulted in more severe bladder overdistention. Signal processing of the recorded extraneural pelvic nerve signals successfully reconstructed changes in intravesical pressure, demonstrating their use in estimating the fullness and contractions of the bladder. ConclusionsThe preliminary results suggest that pelvic nerve stimulators can serve as an alternative method for frequent emptying of the areflexive bladder. Simultaneous recording of the same pelvic nerve will be useful for development of a closed-loop neuroprosthesis.

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Decoding intravesical pressure from local field potentials in rat lumbosacral spinal cord

Cited by 9 publications

References 36 publications

Real-Time Bladder Pressure Estimation for Closed-Loop Control in a Detrusor Overactivity Model

Real-Time Bladder Pressure Estimation for Closed-Loop Control in a Detrusor Overactivity Model

Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm

Neuromodulation of pelvic nerve during early phase of spinal cord injury in rats using implantable prototype devices - a preliminary study

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