Evidence map›Paper›PMID 39889372›Full record

ArticleEBioMedicine2025

Physio-fUS: a tissue-motion based method for heart and breathing rate assessment in neurofunctional ultrasound imaging.

Nicolas Zucker, Samuel Le Meur-Diebolt, Felipe Cybis Pereira, Jérôme Baranger, Isabella Hurvitz, Charlie Demené, Bruno-Félix Osmanski, Nathalie Ialy-Radio, Valérie Biran, Olivier Baud and 3 more

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Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

13 authors.

Nicolas ZuckerPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Samuel Le Meur-DieboltPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France; Iconeus, Paris, France.
Felipe Cybis PereiraPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France; Iconeus, Paris, France.
Jérôme BarangerPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Isabella HurvitzPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Charlie DemenéPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Bruno-Félix OsmanskiIconeus, Paris, France.
Nathalie Ialy-RadioPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Valérie BiranAssistance Publique-Hôpitaux de Paris, Neonatal Intensive Care Unit, Robert Debré Children's Hospital, Université Paris Cité, Paris, France; Inserm U1141, NeuroDiderot, University of Paris-Cité, Paris, France.
Olivier BaudInserm U1141, NeuroDiderot, University of Paris-Cité, Paris, France; Department of Neonatal Medicine of Port-Royal, Cochin Hospital, FHU PREMA, AP-HP Centre - Université Paris Cité, Paris, 75014, France; Epidemiology and Statistics Research Center/CRESS, Université Paris Cité, INSERM, INRAE, Paris, France.
Sophie PezetPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Thomas DeffieuxPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France.
Mickael TanterPhysics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, 10 rue Oradour sur Glane, Paris, 75015, France. Electronic address: mickael.tanter@espci.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have shown growing evidence that brain function is closely synchronised with global physiological parameters. Heart rate is linked to various cognitive processes and a strong correlation between neuronal activity and breathing has been demonstrated. These findings highlight the significance of monitoring these key physiological parameters during neuroimaging as they provide valuable insights into the overall brain function. Today, in neuroimaging, assessing these parameters requires additional cumbersome devices or implanted electrodes. Here we demonstrate that ultrasonic neurofunctional imaging data alone is sufficient to extract these parameters.

methodsIn this work, we performed ultrafast ultrasound imaging in male rodents and human neonates, and we extracted heart and breathing rates from local tissue motion assessed by raw ultrasound data processing. Such "Physio-fUS" automatically selects two specific and optimal brain regions with pulsatile tissue signals to monitor such parameters.

findingsWe validated the correspondence of these periodic signals with heart and breathing rates assessed using gold-standard electrodes in anaesthetised rodents. We extracted heart and breathing rates in sleeping rats and heart rate in rats moving freely in an arena. We also validated Physio-fUS imaging in sleeping human newborns using conventional ECG.

interpretationWe show the potential of fUS imaging as an integrative tool for simultaneously monitoring physiological parameters during neurofunctional imaging. Beyond the technological improvement, it could enhance our understanding of the link between breathing, heart rate and neurovascular activity in preclinical research and clinical functional ultrasound imaging.

fundingThis study was supported by the European Research Council under the European Union's Seventh Framework Program (FP/2007-2013)/ERC Grant Agreement n°311025 and by the Fondation Bettencourt-Schueller under the program "Physics for Medicine".

Indexed as

BrainHeartHeart RateRespiratory RateAnimalsAnimals, NewbornHumansImage Processing, Computer-AssistedInfant, NewbornMaleMotionRatsRespirationUltrasonographyClinical imagingFunctional ultrasound imagingNeonatologyNeuroimagingPhysiologyTissue imaging

Identifiers

PMID39889372
PMCPMC11833147

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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.