Evidence map›Paper›PMID 30298188›Full record

ArticleNeuroradiology2019

Altered brain functional network in children with type 1 Gaucher disease: a longitudinal graph theory-based study.

Miao Zhang, Shengpei Wang, Di Hu, Huiying Kang, Minhui Ouyang, Yonghong Zhang, Bo Rao, Hao Huang, Yun Peng

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment.Interdisciplinary sciences, computational life sciences · 2021
    Article
  5. Review
  6. Article
  7. 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

9 authors.

Miao ZhangDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Shengpei WangResearch Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Di HuDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Huiying KangDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Minhui OuyangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, 19104, PA, USA.
Yonghong ZhangHematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Bo RaoDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Hao HuangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, 19104, PA, USA.
Yun PengDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. ppengyun@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies have investigated the brain structural abnormalities in children with type I Gaucher disease (GD). The purpose of our study is to investigate the topological efficiency of the brain functional network in children with type 1 GD.

methodsTwenty-two children diagnosed with type 1 GD and 22 sex- and age-matched healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) examination. For longitudinal study, the GD patients underwent rs-fMRI examination again after 4.6 years. Graph theoretical analysis was used to assess the brain network topological properties at the global and regional levels.

resultsCompared with the HCs, the children with type 1 GD showed a decreased efficiency in functional segregation with a decreased γ (normalized clustering coefficient). In addition, the balance between functional segregation and integration was disrupted with decreased small-worldness (σ). At the regional level, the children with type 1 GD showed significantly decreased nodal degree and efficiency in the right precentral gyrus (PreCG.R) and left postcentral gyrus (PoCG.L). The significantly altered γ, σ, and nodal degree in the PreCG.R and PoCG.L were negatively correlated with the disease duration. No significant alterations in the global and regional topological properties were identified in these patients over time.

conclusionCompared with that of the HCs, the efficiency of the brain functional network in the children with type 1 GD was disrupted, and regional involvement was located in motor- and sensory-related regions. The efficiency of the brain functional network in these patients remained stable over time.

Indexed as

Brain MappingCase-Control StudiesChildFemaleGaucher DiseaseHumansImage Interpretation, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleNerve NetBrain functional networksChildrenGaucher diseaseGraph theoryResting-state functional MRI

Identifiers

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.