Evidence map›Paper›PMID 31275222›Full record

ArticleFrontiers in neurology2019

Altered Whole-Brain Functional Topological Organization and Cognitive Function in Type 2 Diabetes Mellitus Patients.

Chunhong Qin, Yi Liang, Xin Tan, Xi Leng, Huan Lin, Hui Zeng, Chi Zhang, Jinquan Yang, Yifan Li, Yanting Zheng and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 1 synthesis or guideline 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

11 authors.

Chunhong QinDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yi LiangDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xin TanDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xi LengDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Huan LinDepartment of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Hui ZengGuangzhou University of Chinese Medicine, Guangzhou, China.
Chi ZhangDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jinquan YangGuangzhou University of Chinese Medicine, Guangzhou, China.
Yifan LiGuangzhou University of Chinese Medicine, Guangzhou, China.
Yanting ZhengGuangzhou University of Chinese Medicine, Guangzhou, China.
Shijun QiuDepartment of Radiology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

Quantifying Brain Abnormality by Multimodality Neuroimage Analysis,R01AG041721 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2012 to 2019
$3.0M
NIA NIH HHS R01 AG041721
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is associated with cognitive dysfunction and may even progress to dementia. However, the underlying mechanism of altered functional topological organization and cognitive impairments remains unclear. This study explored the topological properties of functional whole brain networks in T2DM patients with graph theoretical analysis using a resting-state functional magnetic resonance imaging (rs-fMRI) technique. Thirty T2DM patients (aged 51.77 ± 1.42 years) and 30 sex-, age-, and education-matched healthy controls (HCs) (aged 48.87 ± 0.98 years) underwent resting-state functional imaging in a 3.0 T MR scanner in addition to detailed neuropsychological and laboratory tests. Then, graph theoretical network analysis was performed to explore the global and nodal topological alterations in the functional whole brain networks of the T2DM patients. Finally, correlation analyses were performed to investigate the relationship between the altered topological parameters, cognitive performances and clinical variables. Compared to HCs, we found that T2DM patients displayed worse performances in general cognitive function and several cognitive domains, including episodic memory, attention and executive function. In addition, T2DM patients showed a higher small-worldness (σ), a higher normalized clustering coefficient (γ) and a higher local efficiency (E

Indexed as

cognitive functiongraph theoretical analysisresting-state functional magnetic resonance imagingtopological organizationtype 2 diabetes mellitus

Identifiers

PMID31275222
PMCPMC6593281

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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.