ArticleNature communications2025
Human spinal cord activation during filling and emptying of the bladder.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Animal models of spinal cord injury in neuro-urological research.Nature reviews. Urology · 2026Review
- UROREC: A cystometry and electromyography recording system for analyzing urinary incontinence parameters in rat models.PloS one · 2026Article
- Functional ultrasound imaging combined with machine learning for whole-brain analysis of drug-induced hemodynamic changes.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spinal cord is essential for processing sensory information and regulating autonomic functions, such as bladder control, which is critical for urinary continence and voiding. Understanding how the spinal cord represents bladder pressure can provide valuable insights into the neural mechanisms underlying bladder control and contribute to developing better therapies for bladder dysfunction. However, measuring neural activity in the human spinal cord is notoriously challenging due to its small size and the surrounding bony and fascial enclosures, limiting the effectiveness of traditional neuroimaging techniques. Functional ultrasound imaging (fUSI) is a minimally invasive, emerging modality that overcomes these barriers, offering high sensitivity, spatial coverage, and spatiotemporal resolution for studying neural dynamics. Here, we combine fUSI with urodynamically controlled bladder filling and emptying to examine hemodynamic responses in the human spinal cord during one cycle of micturition. Using intravesical bladder pressure recordings, we identify spinal cord regions with hemodynamic signals that strongly correlate with bladder pressure. Furthermore, a linear support vector machine regression model (SVM-r) trained on the fUSI power Doppler signal reveals relevant spinal cord regions and accurately reconstructs bladder pressure changes. Our findings provide evidence of bladder pressure-responsive regions in the spinal cord, where hemodynamic signals strongly correlate with bladder pressure.
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Registered trials
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