Evidence map›Paper›PMID 38224535›Full record

ArticleHuman brain mapping2024

Relationship between topological efficiency of white matter structural connectome and plasma biomarkers across the Alzheimer's disease continuum.

Mingkai Zhang, Haojie Chen, Weijie Huang, Tengfei Guo, Guolin Ma, Ying Han, Ni Shu

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 4 institutions in 1 country.

Mingkai ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0009-0001-9846-123X
Haojie ChenState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-4362-1056
Weijie HuangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-2481-1188
Tengfei GuoInstitute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.
Guolin MaDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Ying HanDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-0377-7424
Ni ShuState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Beijing Normal University · CNCapital Medical University · CNChina-Japan Friendship Hospital · CNShenzhen Bay Laboratory · CN

Funding

Fundamental Research Funds for the Central Universities 2017XTCX04National Natural Science Foundation of China 32271145National Natural Science Foundation of China 81871425National Natural Science Foundation of China 82001773National Natural Science Foundation of China 82020108013National Natural Science Foundation of China 82327809Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning CNLYB2001Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning CNLZD2101Sino-German Cooperation Grant M-0759STI2030-Major Projects 2022ZD0211800STI2030-Major Projects 2022ZD0213300
6 · The paper itself

Abstract

Both plasma biomarkers and brain network topology have shown great potential in the early diagnosis of Alzheimer's disease (AD). However, the specific associations between plasma AD biomarkers, structural network topology, and cognition across the AD continuum have yet to be fully elucidated. This retrospective study evaluated participants from the Sino Longitudinal Study of Cognitive Decline cohort between September 2009 and October 2022 with available blood samples or 3.0-T MRI brain scans. Plasma biomarker levels were measured using the Single Molecule Array platform, including β-amyloid (Aβ), phosphorylated tau181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). The topological structure of brain white matter was assessed using network efficiency. Trend analyses were carried out to evaluate the alterations of the plasma markers and network efficiency with AD progression. Correlation and mediation analyses were conducted to further explore the relationships among plasma markers, network efficiency, and cognitive performance across the AD continuum. Among the plasma markers, GFAP emerged as the most sensitive marker (linear trend: t = 11.164, p = 3.59 × 10

Indexed as

Alzheimer DiseaseConnectomeWhite MatterAmyloid beta-PeptidesBiomarkersHumansRetrospective Studiestau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseaseBiomarkerEfficiencyGlial fibrillary acidic proteinGraph theoryNetworkNeurofilament light chainPlasma

Identifiers

PMID38224535
PMCPMC10785192
OpenAlexW4390821122

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.