Evidence map›Paper›PMID 35626453›Full record

ArticleDiagnostics (Basel, Switzerland)2022

NDCN-Brain: An Extensible Dynamic Functional Brain Network Model.

Zhongyang Wang, Junchang Xin, Qi Chen, Zhiqiong Wang, Xinlei Wang

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zhongyang WangSchool of Computer Science & Engineering, Northeastern University, Shenyang 110819, China.ORCID 0000-0002-9956-795X
Junchang XinSchool of Computer Science & Engineering, Northeastern University, Shenyang 110819, China.ORCID 0000-0003-2077-8269
Qi ChenCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China.
Zhiqiong WangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, China.
Xinlei WangSchool of Computer Science & Engineering, Northeastern University, Shenyang 110819, China.

Funding

Fundamental Research Funds for the Central Universities of China N2104001, N2116016, N2019007, N2024005-2, N180101028, N180408019National Natural Science Foundation of China 62072089
6 · The paper itself

Abstract

As an extension of the static network, the dynamic functional brain network can show continuous changes in the brain's connections. Then, limited by the length of the fMRI signal, it is difficult to show every instantaneous moment in the construction of a dynamic network and there is a lack of effective prediction of the dynamic changes of the network after the signal ends. In this paper, an extensible dynamic brain function network model is proposed. The model utilizes the ability of extracting and predicting the instantaneous state of the dynamic network of neural dynamics on complex networks (NDCN) and constructs a dynamic network model structure that can provide more than the original signal range. Experimental results show that every snapshot in the network obtained by the proposed method has a usable network structure and that it also has a good classification result in the diagnosis of cognitive impairment diseases.

Indexed as

cognitive impairment diseasesdynamic networkextensionfMRINDCN

Identifiers

PMID35626453
PMCPMC9142118

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.