Evidence map›Paper›PMID 37334010›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2023

Coupling of the spatial distributions between sMRI and PET reveals the progression of Alzheimer's disease.

Kun Zhao, Jiaji Lin, Martin Dyrba, Dong Wang, Tongtong Che, Haoyang Wu, Jingyu Wang, Yong Liu, Shuyu Li

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2023. 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
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  4. Article
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

9 authors at 6 institutions in 2 countries.

Kun ZhaoBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Jiaji LinDepartment of Neurology, Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Martin DyrbaGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Dong WangSchool of Information Science and Engineering, Shandong Normal University, Jinan, China.
Tongtong CheBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Haoyang WuSchool of Basic Medicine, Air Force Medical University, Xi'an, China.
Jingyu WangSchool of Basic Medicine, Air Force Medical University, Xi'an, China.
Yong LiuSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID https://orcid.org/0000-0002-1862-3121
Shuyu LiState Key Laboratory of Cognition Neuroscience and Learning, Beijing Normal University, Beijing, China.
Air Force Medical University · CNBeihang University · CNBeijing Normal University · CNBeijing University of Posts and Telecommunications · CNGerman Center for Neurodegenerative Diseases · DEShandong Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid-beta (Aβ) deposition and altered brain structure are the most relevant neuroimaging biomarkers for Alzheimer's disease (AD). However, their spatial inconsistency was always confusing and misleading. Furthermore, the relationship between this spatial inconsistency and AD progression is unclear. The current study introduced a regional radiomics similarity network (R2SN) to map structural MRI and Aβ positron emission tomography (PET) images to study their cross-modal interregional coupling. A total of 790 participants (248 normal controls, 390 mild cognitive impaired patients, and 152 AD patients) with their structural MRI and PET images were studied. The results showed that global and regional R2SN coupling significantly decreased according to the severity of cognitive decline, from mild cognitive impairment to AD dementia. The global coupling patterns are discriminative between different APOE ε4, Aβ, and Tau subgroups. R2SN coupling was probed for relationships with neuropsychiatric measures and peripheral biomarkers. Kaplan-Meier analysis showed that lower

Indexed as

Alzheimer’s diseaseCouplingMultimodalProgressionRegional radiomics similarity networkSpatial inconsistency

Identifiers

PMID37334010
PMCPMC10270713
OpenAlexW4289842561

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.