Evidence map›Paper›PMID 40595885›Full record

ArticleScientific reports2025

A sensation driven functional MRI study on brain activation during bladder filling in healthy participants.

Anugrah D Santoso, Stefan Sunaert, Dirk De Ridder

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anugrah D SantosoLaboratory of Experimental Urology, Department of Development and Regeneration, KU Leuven, Herestraat 49, Leuven, 3000, Belgium. anugrahd.santoso@kuleuven.be.
Stefan SunaertDepartment of Radiology, UZ Leuven, Leuven, Belgium.
Dirk De RidderLaboratory of Experimental Urology, Department of Development and Regeneration, KU Leuven, Herestraat 49, Leuven, 3000, Belgium.

Funding

Fonds Wetenschappelijk Onderzoek K1DBO23NOnderzoeksraad, KU Leuven ZB/20/040
6 · The paper itself

Abstract

Understanding the central control of bladder perception is important to comprehend the neurophysiological mechanism behind bladder sensation and lower urinary tract dysfunction. Here we design a sensation-driven functional magnetic resonance imaging (fMRI) during repetitive bladder filling and examine brain activation related to the first desire to void (FDV) and strong desire to void (SDV) sensations. These sensations are subjective and can be transient, making their study particularly challenging and insightful. To prevent constant engagement of the viscerosensory cortex and to add a layer of complexity, a diversion continuous performance task (CPT) was randomly presented. We modelled and analysed the data given the recorded responses and assessed the validity and reliability of our paradigm. Brain activation was then compared to the canonical functional networks to understand how the brain responded to the transition between CPT and the desire to void. Our approach improved reliability metrics and revealed that SDV triggered more pronounced brain activation than FDV. This underscores a robust relationship between urinary urge intensity and signal intensity. We also pinpointed several brainstem structures linked to the desire to void. Ultimately, our findings demonstrated dynamic interaction among brain functional networks during the transition between goal-driven tasks and reorienting to salient stimuli.

Indexed as

BrainMagnetic Resonance ImagingSensationUrinary BladderUrinationAdultBrain MappingFemaleHealthy VolunteersHumansMaleYoung AdultBladder sensationsDesire to voidfMRISupraspinal controlUrgeUrodynamics

Identifiers

PMID40595885
PMCPMC12214491

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.