Evidence map›Paper›PMID 29532350›Full record

ArticleMolecular imaging and biology2018

Metabolic Brain Network Analysis of Hypothyroidism Symptom Based on [

Hongkai Wang, Ziyu Tan, Qiang Zheng, Jing Yu

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Purinergic signaling in thyroid disease.Purinergic signalling · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Hongkai WangDepartment of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Ziyu TanDepartment of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Qiang ZhengNuclear Medicine Division, Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, 116023, China. Oliver951101@outlook.com.ORCID http://orcid.org/0000-0003-2467-4942
Jing YuNuclear Medicine Division, Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, 116023, China.
Dalian Medical University · CNDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecent researches have demonstrated the value of using 2-deoxy-2-[ PROCEDURES: For both the hypothyroidism and the control groups of Wistar rats, the functional brain networks were constructed by thresholding the glucose metabolism correlation matrices of 58 brain regions. The network topological properties (including the small-world properties and the nodal centralities) were calculated and compared between the two groups.

resultsWe found that the rat brains, like human brains, have typical properties of the small-world network in both the hypothyroidism and the control groups. However, the hypothyroidism group demonstrated lower global efficiency and decreased local cliquishness of the brain network, indicating hypothyroidism-related impairment to the brain network. The hypothyroidism group also has decreased nodal centrality in the left posterior hippocampus, the right hypothalamus, pituitary, pons, and medulla. This observation accorded with the hypothyroidism-related functional disorder of hypothalamus-pituitary-thyroid (HPT) feedback regulation mechanism.

conclusionOur research quantitatively confirms that hypothyroidism hampers brain cognitive function by causing impairment to the brain network of glucose metabolism. This study reveals the feasibility and validity of applying graph theory method to preclinical [

Indexed as

Metabolic Networks and PathwaysPositron-Emission TomographyAnimalsBrainFluorodeoxyglucose F18HypothyroidismMaleRats, WistarFluorodeoxyglucose F18Brain networksGraph theoryHypothyroidismPETSmall-world

Identifiers

PMID29532350
OpenAlexW2791823294

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.