Evidence map›Paper›PMID 28931302›Full record

ArticleAmerican journal of Alzheimer's disease and other dementias2018

Learning Metabolic Brain Networks in MCI and AD by Robustness and Leave-One-Out Analysis: An FDG-PET Study.

Zhijun Yao, Bin Hu, Xuejiao Chen, Yuanwei Xie, Jürg Gutknecht, Dennis Majoe

Abstract read
In one paragraph

Article in American journal of Alzheimer's disease and other dementias, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Stable brain PET metabolic networks using a multiple sampling scheme.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. A Study on PHF-Tau Network Effected by Apolipoprotein E4.American journal of Alzheimer's disease and other dementias
    Article
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

6 authors.

Zhijun Yao1 School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, People's Republic of China.
Bin Hu1 School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, People's Republic of China.
Xuejiao Chen1 School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, People's Republic of China.
Yuanwei Xie1 School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, People's Republic of China.
Jürg Gutknecht2 Computer Systems Institute, ETH Zürich, Zürich, Switzerland.
Dennis Majoe2 Computer Systems Institute, ETH Zürich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study attempted to better understand the properties associated with the metabolic brain network in mild cognitive impairment (MCI) and Alzheimer's disease (AD). Graph theory was employed to investigate the topological organization of metabolic brain network among 86 patients with MCI, 89 patients with AD, and 97 normal controls (NCs) using 18F fluoro-deoxy-glucose positron emission tomography (FDG-PET) data. The whole brain was divided into 82 areas by Brodmann atlas to construct networks. We found that MCI and AD showed a loss of small-world properties and topological aberrations, and MCI showed an intermediate measurement between NC and AD. The networks of MCI and AD were vulnerable to attacks resulting from the altered topological pattern. Furthermore, individual contributions were correlated with Mini-Mental State Examination and Clinical Dementia Rating. The present study indicated that the topological patterns of the metabolic networks were aberrant in patients with MCI and AD, which may be particularly helpful in uncovering the pathophysiology underlying the cognitive dysfunction in MCI and AD.

Indexed as

LearningMetabolic Networks and PathwaysAgedAlzheimer DiseaseBrainCognitive DysfunctionDisease ProgressionFemaleFluorodeoxyglucose F18HumansMaleNeuropsychological TestsPositron-Emission TomographyFluorodeoxyglucose F18ADFDG-PETLeave-one-outMCIMetabolic brain networkNetwork robustness

Identifiers

PMID28931302
PMCPMC10852436

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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.