Evidence map›Paper›PMID 40727340›Full record

ArticleQuantitative imaging in medicine and surgery2025

Association of magnetic resonance imaging glymphatic function with gray matter volume loss and cognitive impairment in Alzheimer's disease: a diffusion tensor image analysis along the perivascular space (DTI-ALPS) study.

Qian Zhang, Chao-Gang Wei, Chong Cui, Ting Huang, Shan-Wen Liu, Meng Li, Yu-Qi Zhi, Xiao-Yun Liang, Hua Hu, Zhen Jiang and 2 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Qian Zhang *Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Chao-Gang Wei *Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Chong Cui *Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Ting HuangDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Shan-Wen LiuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Meng LiDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yu-Qi ZhiDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xiao-Yun LiangInstitute of Artificial Intelligence and Clinical Innovation, Neusoft Medical Systems Co., Ltd., Shanghai, China.
Hua HuDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhen JiangDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jiang-Tao ZhuDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Rong LiuDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffusion tensor image analysis along the perivascular space (DTI-ALPS) has been used for diagnosing Alzheimer's disease (AD); however, few studies have examined the relationship between the DTI-ALPS index and cortical metrics, and the differentiation between AD severity levels remains unclear. This study aimed to explore the differences in DTI-ALPS index and cortex among AD patients with varying severities and to analyze the interactions between DTI-ALPS index, cortical metrics, and cognitive function. Methods: A total of 19 individuals with mild cognitive impairment (MCI), 17 individuals exhibiting mild AD, 25 individuals with moderate AD, and 28 healthy controls (HC) who were matched for age, sex, and education level were recruited. All the participants underwent diffusion tensor imaging (DTI) magnetic resonance imaging (MRI), followed by the calculation of the DTI-ALPS index to assess lymphatic system function. FreeSurfer (v7.4.1) was used to calculate thickness, volume, local gyre index, and area. One-way analysis of variance (ANOVA) was performed to compare the differences among HC, MCI, mild AD, and moderate AD groups. Pearson correlation analysis was employed to investigate the connection between the DTI-ALPS index and cognitive function, along with cortical metrics. Results: The HC, MCI, mild AD, and moderate AD groups exhibited significant differences in the DTI-ALPS index of the left hemisphere (P=0.008), whereas 13 cortical metrics revealed a statistical significance between groups (P<0.05). In the left hemisphere, the DTI-ALPS index showed a positive trend with the Montreal Cognitive Assessment (MoCA) score (r=0.397, P<0.001). Higher DTI-ALPS was also associated with an increase in 10 cortical metrics after controlling for age, sex, and education. Conclusions: There is a significant relationship between the DTI-ALPS index, cortical metrics, and cognitive function. This result may suggest that lymphatic dysfunction indicated by the DTI-ALPS index could mirror cortical structural degeneration and cognitive decline within the pathological process of AD. DTI-ALPS can be used as an indicator of structural degeneration and decline in cognitive function in AD.

Indexed as

Alzheimer’s disease (AD)cerebral cortexcortical indexdiffusion magnetic resonance imaging (diffusion MRI)glymphatic system (GS)

Identifiers

PMID40727340
PMCPMC12290719

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.