Evidence map›Paper›PMID 31281248›Full record

ArticleFrontiers in aging neuroscience2019

Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline.

Yunyan Xie, Tiantian Liu, Jing Ai, Duanduan Chen, Yiran Zhuo, Guanglei Zhao, Shuai He, Jinglong Wu, Ying Han, Tianyi Yan

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

10 authors.

Yunyan XieDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tiantian LiuSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jing AiSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Duanduan ChenSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Yiran ZhuoCollege of Electronic and Information Engineering, Tongji University, Shanghai, China.
Guanglei ZhaoSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Shuai HeBeijing Haidian Foreign Language Shiyan School, Beijing, China.
Jinglong WuSchool of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China.
Ying HanDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tianyi YanSchool of Life Science, Beijing Institute of Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite subjective cognitive decline (SCD), a preclinical stage of Alzheimer's disease (AD), being widely studied in recent years, studies on centrality frequency in individuals with SCD are lacking. This study aimed to investigate the differences in centrality frequency between individuals with SCD and normal controls (NCs). Forty individuals with SCD and 53 well-matched NCs underwent a resting-state functional magnetic resonance imaging scan. We assessed individual dynamic functional connectivity using sliding window correlations. In each time window, brain regions with a high degree centrality were defined as hubs. Across the entire time window, the proportion of time that the hub appeared was characterized as centrality frequency. The centrality frequency correlated with cognitive performance differently in individuals with SCD and NCs. Our results revealed that in individuals with SCD, compared with NCs, correlations between centrality frequency of the anterior cortical regions and cognitive performance decreased (79.2% for NCs and 43.5% for individuals with SCD). In contrast, correlations between centrality frequency of the posterior cortical regions and cognitive performance increased in SCD individuals compared with NCs (20.8% for NCs and 56.5% for individuals with SCD). Moreover, the changes mainly focused on the anterior (93.3% for NCs and 45.5% for individuals with SCD) and posterior (6.7% for NCs and 54.5% for individuals with SCD) regions associated with the default mode network (DMN). In addition, we used absolute thresholds (correlation efficient

Indexed as

centrality frequencydefault mode networkhub probabilityresting-state functional magnetic resonance imagingsubjective cognitive decline

Identifiers

PMID31281248
PMCPMC6595963

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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.