Evidence map›Paper›PMID 40078532›Full record

ArticleNeurophotonics2025

Optical attenuation coefficient decorrelation-based optical coherence tomography angiography for microvascular evaluation of Alzheimer's disease on mice.

Ben Xiang, Ning Ding, Huiwen Jiang, Jian Liu, Yao Yu, Jingmin Luan, Yuqian Zhao, Yi Wang, Yanqiu Yang, Cheng Ji and 2 more

Abstract read
In one paragraph

Article in Neurophotonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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
  2. Article
  3. Review
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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

12 authors.

Ben XiangNortheastern University, College of Information Science and Engineering, Shenyang, China.ORCID https://orcid.org/0009-0007-5130-2390
Ning DingNortheastern University, College of Information Science and Engineering, Shenyang, China.ORCID https://orcid.org/0000-0002-7997-3109
Huiwen JiangNortheastern University, College of Information Science and Engineering, Shenyang, China.
Jian LiuNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Yao YuNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.ORCID https://orcid.org/0000-0002-9754-5597
Jingmin LuanNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Yuqian ZhaoNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Yi WangNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Yanqiu YangNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.ORCID https://orcid.org/0000-0002-0773-6614
Cheng JiQinhuangdao Haigang Hospital, Qinhuangdao, China.
Fengwen WangNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.
Zhenhe MaNortheastern University at Qinhuangdao, School of Control Engineering, Qinhuangdao, China.ORCID https://orcid.org/0000-0003-4079-9550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: The deep cortical microvasculature is closely linked to the pathogenesis of Alzheimer's disease (AD). However, tail artifacts from superficial cortical vessels often interfere with detecting deep vessels in optical coherence tomography angiography (OCTA) imaging. A more accurate method to assess deep cortical vasculature is crucial for understanding its relationship with AD onset. Aim: We aim to reduce superficial vessel artifacts in OCTA imaging and improve the visualization and analysis of deep cortical microvasculature in an AD mouse model. Approach: We introduced the optical attenuation coefficient decorrelation (OACD) method for OCTA, effectively reducing tail artifacts from superficial cortex vessels. This method was used to visualize and quantitatively analyze deep cortical microvasculature Results: The OACD method significantly reduced superficial vessel artifacts, leading to clearer imaging of the deep cortical vasculature. Quantitative analysis revealed that changes in the deep cortical microvasculature were more pronounced than in the superficial vasculature, suggesting a more direct involvement of the deep vessels in AD progression. Conclusions: The proposed OACD method enhances OCTA imaging by reducing tail artifacts from superficial vessels, facilitating improved assessment of deep cortical microvasculature. These findings suggest that deep cortical vascular changes may play a key role in the pathogenesis of AD, offering potential insights for early detection and monitoring of AD progression.

Indexed as

Alzheimer’s diseaseamyloid βdeep cortical microvasculatureoptical attenuation coefficient decorrelationoptical coherence tomography

Identifiers

PMID40078532
PMCPMC11899147

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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.