Evidence map›Paper›PMID 41195701›Full record

ArticleeLife2025

Longitudinal awake imaging of mouse deep brain microvasculature with super-resolution ultrasound localization microscopy.

Yike Wang, Matthew R Lowerison, Zhe Huang, Qi You, Bing-Ze Lin, Daniel A Llano, Pengfei Song

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yike WangBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0009-0003-0113-6014
Matthew R LowerisonBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0002-1125-4554
Zhe HuangBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0002-3477-8326
Qi YouBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.
Bing-Ze LinBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0001-7323-4236
Daniel A LlanoBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0003-0933-1837
Pengfei SongBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, United States.ORCID https://orcid.org/0000-0002-9103-6345

Funding

Next-Generation Ultrasound Localization MicroscopyR21EB030072 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SONG, PENGFEI · 2020 to 2022
$927k
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse modelR56NS131516 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2023 to 2023
$575k
Super-resolution imaging of brain microvascular changes in a model of Alzheimer DiseaseR21AG077173 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2022 to 2022
$422k
Chan Zuckerberg Initiative Ben Berres Early Career AwardNational Science Foundation CAREER Award 2237166NIA NIH HHS R21 AG077173NIBIB NIH HHS R21 EB030072NIH HHS R21AG077173NIH HHS R21EB030072NIH HHS R21EB030072-01S1NIH HHS R56NS131516NINDS NIH HHS R56 NS131516
6 · The paper itself

Abstract

Ultrasound localization microscopy (ULM) is an emerging imaging modality that resolves microvasculature in deep tissues with high spatial resolution. However, existing preclinical ULM applications are largely constrained to anesthetized animals, introducing confounding vascular effects such as vasodilation and altered hemodynamics. As such, ULM quantifications (e.g., vessel diameter, density, and flow velocity) may be confounded by the use of anesthesia, undermining the usefulness of ULM in practice. Here, we introduce a method to address this limitation and achieve ULM imaging in awake mouse brain. Pupillary monitoring was used to support the presence of the awake state during ULM imaging. Vasodilation induced by isoflurane was observed by ULM. Upon recovery to the awake state, reductions in vessel density and flow velocity were observed across different brain regions. In the cortex, the effects induced by isoflurane are more pronounced on venous flow than on arterial flow. In addition, serial in vivo imaging of the same animal brain at weekly intervals demonstrated the highly robust longitudinal imaging capability of the proposed technique. The consistency was further verified through quantitative analysis on individual vessels, cortical regions of arteries and veins, and subcortical regions. This study demonstrates longitudinal ULM imaging in the awake mouse brain, which is crucial for many ULM brain applications that require awake and behaving animals.

Indexed as

BrainMicroscopy, AcousticMicrovesselsWakefulnessAnimalsIsofluraneMaleMiceMice, Inbred C57BLIsofluraneawake brain imaginglongitudinal microvasculature analysismouseneuroscienceultrasound localization microscopy

Identifiers

PMID41195701
PMCPMC12591574

What OpenQuestion holds

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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.