Evidence map›Paper›PMID 32361946›Full record

ArticleBrain imaging and behavior2020

Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study.

Guozhao Dong, Liu Yang, Chiang-Shan R Li, Xiaoni Wang, Yihe Zhang, Wenying Du, Ying Han, Xiaoying Tang

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Guozhao Dong *Department of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing, 100081, China.
Liu Yang *Department of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Chiang-Shan R LiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Xiaoni WangDepartment of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Yihe ZhangDepartment of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing, 100081, China.
Wenying DuDepartment of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Ying HanDepartment of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.
Xiaoying TangDepartment of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing, 100081, China. xiaoying@bit.edu.cn.ORCID http://orcid.org/0000-0002-9610-0318

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Imaging the monoaminergic midbrain and cognitive control in cocaine addictionR21DA044749 · NIDA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2018 to 2019
$704k
A noradrenergic mechanism of apathy and motivation deficit in MCI and ADR21AG067024 · NIA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2020 to 2020
$404k
Beijing Municipal Commission of Health and Family Planning PXM2019_026283_000002Beijing Nature Science Foundation 7161009National Natural Science Foundation of China 61633018National Natural Science Foundation of China 81430037National Natural Science Foundation of China 81471731National Natural Science Foundation of China 81471743National Natural Science Foundation of China 81801052NCATS NIH HHS UL1 TR001863NIA NIH HHS R21 AG067024NIDA NIH HHS R21 DA044749NIH HHS R21DA044749-02S1The National Key Research and Development Program of China 2016YFC1306300
6 · The paper itself

Abstract

Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer's disease (AD), the most common neurodegenerative disease in the elderly. We collected resting-state functional MRI data and applied novel graph-theoretical analyses to investigate the dynamic spatiotemporal cerebral connectivities in 63 individuals with SCD and 67 normal controls (NC). Temporal flexibility and spatiotemporal diversity were mapped to reflect dynamic time-varying functional interactions among the brain regions within and outside communities. Temporal flexibility indicates how frequently a brain region interacts with regions of other communities across time; spatiotemporal diversity describes how evenly a brain region interacts with regions belonging to other communities. SCD and NC differed in large-scale brain dynamics characterized by the two measures, which, with support vector machine, demonstrated higher classification accuracies than conventional static parameters and structural metrics. The findings characterize dynamic network dysfunction that may serve as a biomarker of the preclinical stage of AD.

Indexed as

Cognitive DysfunctionAgedAlzheimer DiseaseBrainFemaleHumansMagnetic Resonance ImagingMaleAlzheimer’s diseaseResting-state functional MRISpatiotemporal diversitySubjective cognitive declineTemporal flexibility

Identifiers

PMID32361946
PMCPMC7606422

What OpenQuestion holds

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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.