A hybrid physical–neural phantom of the urinary bladder incorporating the spinal pudenda–vesical reflex

Abstract Spinal cord injury (SCI) is the most common cause of bladder dysfunction. When bladder control is impaired after SCI, it not only disrupts normal bodily function but also severely impacts quality of life. The primary management method—intermittent catheterization—carries a high risk of urinary tract infections. Recent work has demonstrated that electroneurogram recordings from the sacral roots can be used to infer bladder pressure; however, progress is limited by the scarcity of biological data. Few artificial bladder models exist to support device development, and none integrate the mechanical and neurophysiological aspects of the lower urinary tract. Here, we present the first closed-loop artificial bladder system driven by a spiking neural model of sacral micturition reflexes, which is validated against biological recordings. The system reproduces the bladder pressure response observed in vivo, demonstrating a close match to ewe cystometry data. The significance of this platform lies in its ability to generate synthetic data, support neuromodulation testing and provide a foundation for implantable bladder control systems.

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Publication Details

Journal
Interface Focus
Published
2026-04-24
DOI
https://doi.org/10.1098/rsfs.2025.0043
Citations
1
Primary Topic
Urinary Bladder and Prostate Research
Type
article
Field-Weighted Citation Impact
31.41
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article

A hybrid physical–neural phantom of the urinary bladder incorporating the spinal pudenda–vesical reflex

Ioannis Georgilas, Benjamin Metcalfe, Μαρία Πέτρου, Alan Hunter
1 citations
Interface Focus
Urinary Bladder and Prostate Research
31.41
article

A hybrid physical–neural phantom of the urinary bladder incorporating the spinal pudenda–vesical reflex

Ioannis Georgilas, Benjamin Metcalfe, Μαρία Πέτρου, Alan Hunter
article en
1 citations

Abstract

Abstract Spinal cord injury (SCI) is the most common cause of bladder dysfunction. When bladder control is impaired after SCI, it not only disrupts normal bodily function but also severely impacts quality of life. The primary management method—intermittent catheterization—carries a high risk of urinary tract infections. Recent work has demonstrated that electroneurogram recordings from the sacral roots can be used to infer bladder pressure; however, progress is limited by the scarcity of biological data. Few artificial bladder models exist to support device development, and none integrate the mechanical and neurophysiological aspects of the lower urinary tract. Here, we present the first closed-loop artificial bladder system driven by a spiking neural model of sacral micturition reflexes, which is validated against biological recordings. The system reproduces the bladder pressure response observed in vivo, demonstrating a close match to ewe cystometry data. The significance of this platform lies in its ability to generate synthetic data, support neuromodulation testing and provide a foundation for implantable bladder control systems.

Interface FocusVol. 16(1)
University of Bath (GB)
Openalex Percentile: Top 0%
Urinary Bladder and Prostate Research
31.41
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