Evidence map›Paper›PMID 27418146›Full record

ArticleOncotarget2016

Abnormal organization of white matter networks in patients with subjective cognitive decline and mild cognitive impairment.

Xiao-Ni Wang, Yang Zeng, Guan-Qun Chen, Yi-He Zhang, Xuan-Yu Li, Xu-Yang Hao, Yang Yu, Meng Zhang, Can Sheng, Yu-Xia Li and 7 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Hippocampal connectivity and memory decline in cognitively intact APOE ε4 carriers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
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  18. Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
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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

17 authors.

Xiao-Ni WangDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Yang ZengSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Guan-Qun ChenDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Yi-He ZhangSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Xuan-Yu LiDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Xu-Yang HaoSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Yang YuDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Meng ZhangSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Can ShengDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Yu-Xia LiDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Yu SunDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Hong-Yan LiDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Yang SongDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.
Kun-Cheng LiDepartment of Radiology, XuanWu Hospital of Capital Medical University, Beijing, China.
Tian-Yi YanSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Xiao-Ying TangSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Ying HanDepartment of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network analysis has been widely used in studying Alzheimer's disease (AD). However, how the white matter network changes in cognitive impaired patients with subjective cognitive decline (SCD) (a symptom emerging during early stage of AD) and amnestic mild cognitive impairment (aMCI) (a pre-dementia stage of AD) is still unclear. Here, structural networks were constructed respectively based on FA and FN for 36 normal controls, 21 SCD patients, and 33 aMCI patients by diffusion tensor imaging and graph theory. Significantly lower efficiency was found in aMCI patients than normal controls (NC). Though not significant, the values in those with SCD were intermediate between aMCI and NC. In addition, our results showed significantly altered betweenness centrality located in right precuneus, calcarine, putamen, and left anterior cingulate in aMCI patients. Furthermore, association was found between network metrics and cognitive impairment. Our study suggests that the structural network properties might be preserved in SCD stage and disrupted in aMCI stage, which may provide novel insights into pathological mechanisms of AD.

Indexed as

AgedBrain MappingCase-Control StudiesCognition DisordersCognitive DysfunctionDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, BiologicalWhite Matteramnestic mild cognitive impairmentdiffusion tensor imagingnetworkPathology Sectionsubjective cognitive declinewhite matter

Identifiers

PMID27418146
PMCPMC5226483

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.