Evidence map›Paper›PMID 42717406›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2026

Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.

Diana Patalwala, Yolanda Ohene, Ben Dickie, Tim Rosenow, Isobel Thomas-Bland, Michael Nesbit, Ryu Takechi, Paul M Parizel, John Mamo, Virginie Lam

Abstract readReview
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Diana PatalwalaFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.ORCID 0000-0002-1968-6028
Yolanda OheneDivision of Psychology, Communication and Human Neuroscience, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.
Ben DickieDivision of Psychology, Communication and Human Neuroscience, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0001-5018-2111
Tim RosenowFaculty of Health Sciences, School of Population Health, Curtin University, Perth, WA, Australia.ORCID 0000-0003-3727-5131
Isobel Thomas-BlandFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.
Michael NesbitFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.
Ryu TakechiFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.
Paul M ParizelNational Imaging Facility, Centre for Microscopy Characterisation and Analysis, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0002-0221-2854
John MamoFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.
Virginie LamFaculty of Health Sciences, Curtin Medical Research Institute, Curtin University, Perth, WA, Australia.ORCID 0000-0001-8463-645X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cerebral vasculature maintains brain function through precise blood flow regulation and its disruption is increasingly recognised as an early and functionally significant feature of Alzheimer's disease. Understanding these pathologies requires high-resolution imaging capturing cerebral microvascular flow in vivo, particularly in rodent models enabling longitudinal investigation. However, existing modalities involve inherent trade-offs between spatial and temporal resolution, depth, sensitivity and accessibility, while anaesthetic and methodological variability limit cross-study comparability. High-resolution optical imaging, such as two-photon microscopy, provides capillary-level visualisation but is limited by imaging depth and invasiveness. Non-invasive techniques like multi-exposure speckle imaging and optical coherence tomography assess superficial cerebral blood flow dynamics, while magnetic resonance imaging and positron emission tomography offer whole-brain coverage at lower resolution and accessibility. Contrast enhanced ultrasound presents a promising balance of resolution, sensitivity, non-invasiveness and depth penetration. Recently, ultrafast ultrasound localisation ultrasound microscopy has enabled super-resolution imaging by tracking individual microbubbles to quantitatively map microvascular flow. This review critically evaluates preclinical imaging techniques for assessing cerebral microvascular flow in rodents, highlighting their methodological considerations, strengths and limitations. We provide a framework for modality selection and identify ultrafast ultrasound localisation microscopy as the modality best positioned to deliver the standardised, longitudinal and multiscale imaging approach currently lacking.

Indexed as

Cerebral blood flowmagnetic resonance imagingneurodegenerationpreclinical imagingultrasound imaging

Identifiers

PMID42717406
PMCPMC13646197

What OpenQuestion holds

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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.