Evidence map›Paper›PMID 37106764›Full record

ArticleBiology2023

Individual Proportion Loss of Functional Connectivity Strength: A Novel Individual Functional Connectivity Biomarker for Subjective Cognitive Decline Populations.

Zhuoyuan Li, Hua Lin, Qi Zhang, Rong Shi, Huanyu Xu, Fan Yang, Xueyan Jiang, Luyao Wang, Ying Han, Jiehui Jiang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Zhuoyuan LiSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Hua LinDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Qi ZhangSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Rong ShiSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Huanyu XuSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Fan YangSchool of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Xueyan JiangDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Luyao WangInstitute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China.
Ying HanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
Jiehui JiangNuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou 646000, China.ORCID 0000-0003-4948-3683
Shanghai University · CNCapital Medical University · CN

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Natural Science Foundation of China 61633018, 82020108013NIA NIH HHS U01 AG024904Open Project Program of Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province HYX21004Science and Technology Innovation 2030 Major Projects 2022ZD0211606
6 · The paper itself

Abstract

High individual variation in the subjective cognitive decline (SCD) population makes functional connectivity (FC) biomarkers unstable. This study proposed a novel individual FC index, named individual proportion loss of functional connectivity strength (IPLFCS), and explored potential biomarkers for SCD using this new index. We proposed an IPLFCS analysis framework and compared it with traditional FC in Chinese and Western cohorts. Post hoc tests were used to determine biomarkers. Pearson's correlation analysis was used to investigate the correlation between neuropsychological scores or cortical amyloid deposits and IPLFCS biomarkers. Receiver operating characteristic curves were utilized to evaluate the ability of potential biomarkers to distinguish between groups. IPLFCS of the left middle temporal gyrus (LMTG) was identified as a potential biomarker. The IPLFC was correlated with the traditional FC (r = 0.956,

Indexed as

Alzheimer’s diseasefunctional magnetic resonance imagingindividual proportion loss of functional connectivity strengthsubjective cognitive decline

Identifiers

PMID37106764
PMCPMC10135935
OpenAlexW4363676185

What OpenQuestion holds

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LicenceCC BY
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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.