Evidence map›Paper›PMID 31708758›Full record

ArticleFrontiers in human neuroscience2019

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy.

Heng Liu, Haoxiang Jiang, Wenchuan Bi, Bingsheng Huang, Xianjun Li, Miaomiao Wang, Xiaoyu Wang, Huifang Zhao, Yannan Cheng, Xingxing Tao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Reduced brainstem volume is associated with mobility impairments in youth with cerebral palsy.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2023
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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

15 authors at 4 institutions in 1 country.

Heng LiuThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Haoxiang JiangThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Wenchuan BiSchool of Pharmaceutical Sciences, Shenzhen, China.
Bingsheng HuangSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
Xianjun LiDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Miaomiao WangDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoyu WangDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Huifang ZhaoDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yannan ChengDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xingxing TaoDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Congcong LiuDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ting HuangDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chao JinDepartment of Diagnostic Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Tijiang ZhangMedical Imaging Center of Guizhou Province, Department of Radiology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jian YangThe Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNShenzhen University Health Science Center · CNXi'an Jiaotong University · CNZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral cerebral palsy (BCP) is a common movement disorder in children, which often results in lifelong motor disability. One main symptom of BCP is the limitation of hand function in everyday activities. However, the neuroanatomical basis of this prominent hand impairment is yet to discover. Recent advances mainly focus on the lesions of BCP, but the views on the atypical development of cortical parcellations are extremely lacking. Here, in our study, neuroimaging with network analysis was employed to evaluate the changes of structural covariance networks (SCNs) in BCP children. We aimed to elucidate the alteration of SCNs based on cortical thickness (CT), and to reveal the relationship of CT and hand function in the participants with BCP. SCNs were constructed using covariance between regional CT, which was acquired from T1-weighted images of 19 children with BCP and 19 demographically matched healthy controls (HCs). Compared with HCs, BCP children showed increased CT in several regions involving the bilateral areas (lateral occipital, lingual, and fusiform) and right areas (cuneus, pericalcarine, inferior temporal, middle temporal, superior temporal, and insula). Decreased CT was found in the left superior temporal and right superior parietal cortices. Global network analyses revealed significantly decreased normalized clustering and small-worldness in the BCP network. The area under the curve (AUC) of global network measures varied slightly between the BCP and HC networks. The resistance of the both SCNs to the target and random attack showed no significant difference. Also, the BCP foci (right superior temporal and subtemporal cortex) showed a significantly negative correlation between the CT and manual ability. In this work, we identified the CT-based SCNs changes in children with BCP. The abnormal topological organization of SCNs was revealed, indicating abnormal CT, incongruous development of structural wiring, destructive nodal profiles of betweenness, and moved hub distribution in BCP children. This may provide a neuroanatomical hallmark of BCP in the developing brain. Therefore, our results may not only reflect neurodevelopmental aberrations but also compensatory mechanisms.

Indexed as

cerebral palsychildrencortical thicknessmagnetic resonance imagingstructural covariance network

Identifiers

PMID31708758
PMCPMC6819944
OpenAlexW2979726265

What OpenQuestion holds

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Registered trials

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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.