Evidence map›Paper›PMID 30258358›Full record

ArticleFrontiers in neuroinformatics2018

Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.

Yang Li, Jingyu Liu, Jie Huang, Zuoyong Li, Peipeng Liang

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Effective Diagnosis of Alzheimer's DiseaseFrontiers in genetics · 2019
    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

5 authors.

Yang LiSchool of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China.
Jingyu LiuSchool of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China.
Jie HuangSchool of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China.
Zuoyong LiFujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fujian, China.
Peipeng LiangDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer's disease (AD)classificationfunctional connectivity networkGroup-constrained topology structure detectionresting-state fMRIsparse inverse covariance estimation (SICE)

Identifiers

PMID30258358
PMCPMC6143825

What OpenQuestion holds

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LicenceCC BY
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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.