Evidence map›Paper›PMID 35795790›Full record

ArticleFrontiers in neurology2022

The Clustering Analysis of Time Properties in Patients With Cerebral Small Vessel Disease: A Dynamic Connectivity Study.

Wenwen Yin, Xia Zhou, Chenchen Li, Mengzhe You, Ke Wan, Wei Zhang, Wenhao Zhu, Mingxu Li, Xiaoqun Zhu, Yinfeng Qian and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 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

11 authors at 2 institutions in 1 country.

Wenwen YinDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xia ZhouDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chenchen LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Mengzhe YouDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ke WanDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wei ZhangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wenhao ZhuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Mingxu LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaoqun ZhuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yinfeng QianDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhongwu SunDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the dynamic functional connectivity (DFC) pattern in cerebral small vessel disease (CSVD) and explore the relationships between DFC temporal properties and cognitive impairment in CSVD. Methods: Functional data were collected from 67 CSVD patients, including 35 patients with subcortical vascular cognitive impairment (SVCI) and 32 cognitively unimpaired (CU) patients, as well as 35 healthy controls (HCs). The DFC properties were estimated by k Results: The DFC analysis showed three distinct connectivity states (state I: sparsely connected, state II: strongly connected, state III: intermediate pattern). Compared to HCs, CSVD patients exhibited an increased proportion in state I and decreased proportion in state II. Besides, CSVD patients dwelled longer in state I while dwelled shorter in state II. CSVD subgroup analyses showed that state I frequently occurred and dwelled longer in SVCI compared with CSVD-CU. Also, the internetwork (frontal-parietal lobe, frontal-occipital lobe) and intranetwork (frontal lobe, occipital lobe) functional activities were obviously decreased in CSVD. Furthermore, the fractional windows and mean dwell time (MDT) in state I were negatively correlated with cognition in CSVD but opposite to cognition in state II. Conclusion: Patients with CSVD accounted for a higher proportion and dwelled longer mean time in the sparsely connected state, while presented lower proportion and shorter mean dwell time in the strongly connected state, which was more prominent in SVCI. The changes in the DFC are associated with altered cognition in CSVD. This study provides a better explanation of the potential mechanism of CSVD patients with cognitive impairment from the perspective of DFC.

Indexed as

cerebral small vessel diseaseclustering analysiscognitive impairmentdynamic functional connectivitysliding window

Identifiers

PMID35795790
PMCPMC9251301
OpenAlexW4283159373

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.