Literature DB >> 27526398

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

Changkyun Im1, Hae Yong Park, Chin Su Koh, Sang Baek Ryu, In Seok Seo, Yong Jung Kim, Kyung Hwan Kim, Hyung-Cheul Shin.   

Abstract

Chronic monitoring of intravesical pressure is required to detect the onset of intravesical hypertension and the progression of a more severe condition. Recent reports demonstrate the bladder state can be monitored from the spiking activity of the dorsal root ganglia or lumbosacral spinal cord. However, one of the most serious challenges for these methods is the difficulty of sustained spike signal acquisition due to the high-electrode-location-sensitivity of spikes or neuro-degeneration. Alternatively, it has been demonstrated that local field potential recordings are less affected by encapsulation reactions or electrode location changes. Here, we hypothesized that local field potential (LFP) from the lumbosacral dorsal horn may provide information concerning the intravesical pressure. LFP and spike activities were simultaneously recorded from the lumbosacral spinal cord of anesthetized rats during bladder filling. The results show that the LFP activities carry significant information about intravesical pressure along with spiking activities. Importantly, the intravesical pressure is decoded from the power in high-frequency bands (83.9-256 Hz) with a substantial performance similar to that of the spike train decoding. These findings demonstrate that high-frequency LFP activity can be an alternative intravesical pressure monitoring signal, which could lead to a proper closed loop system for urinary control.

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Year:  2016        PMID: 27526398     DOI: 10.1088/1741-2560/13/5/056005

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  3 in total

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

Authors:  Zhonghua Ouyang; Zachariah J Sperry; Nikolas D Barrera; Tim M Bruns
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-04-22       Impact factor: 3.802

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

Authors:  Hamed Yeganegi; Yaser Fathi; Abbas Erfanian
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

3.  Estimation of Bladder Pressure and Volume from the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-based Deep Neural Network.

Authors:  Milad Jabbari; Abbas Erfanian
Journal:  Sci Rep       Date:  2019-12-02       Impact factor: 4.379

  3 in total

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