Evidence map›Paper›PMID 31379485›Full record

ArticleFrontiers in neuroscience2019

Pathological Between-Network Positive Connectivity in Early Type 2 Diabetes Patients Without Cerebral Small Vessel Diseases.

Huanghui Liu, Jun Liu, Huasheng Liu, Limin Peng, Zhichao Feng, Pengfei Rong, Hui Shen, Dewen Hu, Ling-Li Zeng, Wei Wang

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

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 30% 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

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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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Huanghui LiuDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Jun LiuDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Huasheng LiuDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Limin PengCollege of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
Zhichao FengDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Pengfei RongDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Hui ShenCollege of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
Dewen HuCollege of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
Ling-Li ZengCollege of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
Wei WangDepartment of Medical Imaging, The Third Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNNational University of Defense Technology · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePrevious neuroimaging studies have demonstrated type 2 diabetes (T2D)-related brain structural and functional changes are partly associated with cognitive decline. However, less is known about the underlying mechanisms. Chronic hyperglycemia and microvascular complications are the two of most important risk factors related to cognitive decline in diabetes. Cerebral small vessel diseases (CSVDs), such as those defined by lacunar infarcts, white matter hyperintensities (WMHs) and microhemorrhages, are also associated with an increased risk of cognitive decline and dementia. In this study, we examined brain magnetic resonance imaging (MRI) changes in patients in the early stages of T2D without CSVDs to focus on glucose metabolism factors and to avoid the interference of vascular risk factors on T2D-related brain damage.

methodsT2D patients with disease durations of less than 5 years and without any signs of CSVDs (

resultsAt the whole-brain region-based functional connectivity level, thirty-three functional connectivities were changed in T2D patients relative to those in controls, mostly manifested as pathological between-network positive connectivity and located mainly between the sensory-motor network and auditory network. Some of the connectivities were positively correlated with blood glucose level, insulin resistance, and MoCA scores in the T2D group. The network-level analysis showed between-network hyperconnectivity in T2D patients, but no significant changes in within-network connectivity. In addition, there were no significant differences in MoCA scores or brain morphology measures, including cortical thickness, surface area, mean curvature, and gray/white matter volume, between the two groups.

conclusionThe findings indicate that pathological between-network positive connectivity occurs in the early stages of T2D without CSVDs. The abnormal connectivity may indicate that the original balance of mutual antagonistic/cooperative relationships between the networks is broken, which may be a neuroimaging basis for predicting cognitive decline in early T2D patients.

Indexed as

cerebral small vessel diseasesfMRIfunctional connectivitypathological between-network positive connectivitytype 2 diabetes

Identifiers

PMID31379485
PMCPMC6646694
OpenAlexW2957465168

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.