Evidence map›Paper›PMID 38633086›Full record

ArticleBiomedical optics express2024

High spatiotemporal mapping of cortical blood flow velocity with an enhanced accuracy.

Tian Jin, Baochen Li, Linyang Li, Weizhi Qi, Lei Xi

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2024. 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
1.3field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Tian JinDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID https://orcid.org/0000-0002-4358-3184
Baochen LiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
Linyang LiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
Weizhi QiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
Lei XiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID https://orcid.org/0000-0002-2598-6801
Southern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral blood flow velocity is one of the most essential parameters related to brain functions and diseases. However, most existing mapping methods suffer from either inaccuracy or lengthy sampling time. In this study, we propose a particle-size-related calibration method to improve the measurement accuracy and a random-access strategy to suppress the sampling time. Based on the proposed methods, we study the long-term progress of cortical vasculopathy and abnormal blood flow caused by glioma, short-term variations of blood flow velocity under different anesthetic depths, and cortex-wide connectivity of the rapid fluctuation of blood flow velocities during seizure onset. The experimental results demonstrate that the proposed calibration method and the random-access strategy can improve both the qualitative and quantitative performance of velocimetry techniques and are also beneficial for understanding brain functions and diseases from the perspective of cerebral blood flow.

Identifiers

PMID38633086
PMCPMC11019678
OpenAlexW4392547194

What OpenQuestion holds

Textmetadata
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.