Evidence map›Paper›PMID 35473942›Full record

ArticleScientific reports2022

Intensity distribution segmentation in ultrafast Doppler combined with scanning laser confocal microscopy for assessing vascular changes associated with ageing in murine hippocampi.

Maximiliano Anzibar Fialho, Lucia Vázquez Alberdi, Mariana Martínez, Miguel Calero, Jerome Baranger, Mickael Tanter, Juan Pablo Damián, Carlos Negreira, Nicolás Rubido, Alejandra Kun and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. [The developments and applications of functional ultrasound imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Maximiliano Anzibar Fialho *Laboratorio de Acústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Lucia Vázquez Alberdi *Laboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y Ácidos Nucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay.
Mariana Martínez *Laboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y Ácidos Nucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay.
Miguel CaleroChronic Disease Programme (UFIEC), Instituto de Salud Carlos III, CIBERNED and CIEN Foundation, 28220, Madrid, Spain.
Jerome BarangerPhysics for Medicine Paris, Inserm U1273, ESPCI Paris, PSL University, CNRS UMR 8063, 75012, Paris, France.
Mickael TanterPhysics for Medicine Paris, Inserm U1273, ESPCI Paris, PSL University, CNRS UMR 8063, 75012, Paris, France.
Juan Pablo DamiánDepartamento de Biociencias Veterinarias, Facultad de Veterinaria, Universidad de la República, 13000, Montevideo, Uruguay.
Carlos NegreiraLaboratorio de Acústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Nicolás RubidoFísica No Lineal, Instituto de Física de Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Alejandra KunLaboratorio de Biología Celular del Sistema Nervioso Periférico, Departamento de Proteínas y Ácidos Nucleicos, Instituto de Investigaciones Biológicas Clemente Estable, 11600, Montevideo, Uruguay. akun@fcien.edu.uy.
Javier BrumLaboratorio de Acústica Ultrasonora, Instituto de Física, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay. jbrum@fisica.edu.uy.
Universidad de la República · UYInstituto de Investigaciones Biológicas Clemente Estable · UYBiomedical Research Networking Center on Neurodegenerative Diseases · ESCentre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hippocampus plays an important role in learning and memory, requiring high-neuronal oxygenation. Understanding the relationship between blood flow and vascular structure-and how it changes with ageing-is physiologically and anatomically relevant. Ultrafast Doppler ([Formula: see text]Doppler) and scanning laser confocal microscopy (SLCM) are powerful imaging modalities that can measure in vivo cerebral blood volume (CBV) and post mortem vascular structure, respectively. Here, we apply both imaging modalities to a cross-sectional and longitudinal study of hippocampi vasculature in wild-type mice brains. We introduce a segmentation of CBV distribution obtained from [Formula: see text]Doppler and show that this mice-independent and mesoscopic measurement is correlated with vessel volume fraction (VVF) distribution obtained from SLCM-e.g., high CBV relates to specific vessel locations with large VVF. Moreover, we find significant changes in CBV distribution and vasculature due to ageing (5 vs. 21 month-old mice), highlighting the sensitivity of our approach. Overall, we are able to associate CBV with vascular structure-and track its longitudinal changes-at the artery-vein, venules, arteriole, and capillary levels. We believe that this combined approach can be a powerful tool for studying other acute (e.g., brain injuries), progressive (e.g., neurodegeneration) or induced pathological changes.

Indexed as

AgingHippocampusAnimalsCross-Sectional StudiesLasersLongitudinal StudiesMiceMicroscopy, Confocal

Identifiers

PMID35473942
PMCPMC9042937
OpenAlexW4224612660

What OpenQuestion holds

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LicenceCC BY
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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.