Evidence map›Paper›PMID 40799722›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2023

High sensitivity mapping of brain-wide functional networks in awake mice using simultaneous multi-slice fUS imaging.

Adrien Bertolo, Jeremy Ferrier, Silvia Cazzanelli, Samuel Diebolt, Mickael Tanter, Sophie Pezet, Mathieu Pernot, Bruno-Félix Osmanski, Thomas Deffieux

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Charting the path in rodent functional neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. 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

9 authors.

Adrien BertoloPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Jeremy FerrierIconeus, Paris, France.
Silvia CazzanelliPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Samuel DieboltPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Mickael TanterPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Sophie PezetPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Mathieu PernotPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.
Bruno-Félix OsmanskiIconeus, Paris, France.
Thomas DeffieuxPhysics for Medicine Paris, ESPCI Paris, INSERM, CNRS, PSL Research University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional ultrasound (fUS) has received growing attention in preclinical research in the past decade, providing a new tool to measure functional connectivity (FC) and brain task-evoked responses with single-trial detection capability in both anesthetized and awake conditions. Most fUS studies rely on 2D linear arrays to acquire one slice of the brain. Volumetric fUS using 2D matrix or row-column arrays has recently been demonstrated in rats and mice but requires invasive craniotomy to expose the brain due to a lack of sensitivity. In a previous study, we proposed the use of motorized linear arrays, allowing imaging through the skull in mice for multiple slices with high sensitivity. However, the tradeoff between the field of view and temporal resolution introduced by motorized scanning prevents acquiring brain-wide resting-state FC data with a sufficient volume rate for resting-state FC analysis. Here, we propose a new hybrid solution optimized and dedicated to brain-wide transcranial FC studies in mice, based on a newly developed multi-array transducer allowing simultaneous multi-slicing of the entire mouse cerebrum. We first demonstrate that our approach provides a better imaging quality compared to other existing methods. Then, we show the ability to image the whole mouse brain non-invasively through the intact skin and skull during visual stimulation under light anesthesia to validate this new approach. Significant activation was detected along the whole visual pathway, at both single and group levels, with more than 10% of augmentation of the cerebral blood volume (CBV) signal during the visual stimulation compared to baseline. Finally, we assessed resting-state FC in awake head-fixed animals. Several robust and long-ranged FC patterns were identified in both cortical and sub-cortical brain areas, corresponding to functional networks already described in previous fMRI studies. Together, these results show that the multi-array probe is a valuable approach to measure brain-wide hemodynamic activity in mice with an intact skull. Most importantly, its ability to identify robust resting-state networks is paving the way towards a better understanding of the mouse brain functional organization and its breakdown in genetic models of neuropsychiatric diseases.

Indexed as

awake micebrain imagingconnectomicsfunctional connectivityfunctional ultrasoundvisual pathwayvolumetric imaging

Identifiers

PMID40799722
PMCPMC12007538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.