Evidence map›Paper›PMID 30632504›Full record

ArticleNeural regeneration research2019

Resting-state network complexity and magnitude changes in neonates with severe hypoxic ischemic encephalopathy.

Hong-Xin Li, Min Yu, Ai-Bin Zheng, Qin-Fen Zhang, Guo-Wei Hua, Wen-Juan Tu, Li-Chi Zhang

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Neuroimaging in the term newborn with neonatal encephalopathy.Seminars in fetal & neonatal medicine · 2021
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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

7 authors at 3 institutions in 2 countries.

Hong-Xin LiDepartment of Neonatology, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.
Min YuGraduate Student, Nantong University, Nantong, Jiangsu Province, China.
Ai-Bin ZhengDepartment of Children's Health Research Center, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.
Qin-Fen ZhangDepartment of Neonatology, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.
Guo-Wei HuaDepartment of Neonatology, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.
Wen-Juan TuDepartment of Neonatology, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.
Li-Chi ZhangInstitute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hangzhou Children's Hospital · CNNantong University · CNUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting-state functional magnetic resonance imaging has revealed disrupted brain network connectivity in adults and teenagers with cerebral palsy. However, the specific brain networks implicated in neonatal cases remain poorly understood. In this study, we recruited 14 term-born infants with mild hypoxic ischemic encephalopathy and 14 term-born infants with severe hypoxic ischemic encephalopathy from Changzhou Children's Hospital, China. Resting-state functional magnetic resonance imaging data showed efficient small-world organization in whole-brain networks in both the mild and severe hypoxic ischemic encephalopathy groups. However, compared with the mild hypoxic ischemic encephalopathy group, the severe hypoxic ischemic encephalopathy group exhibited decreased local efficiency and a low clustering coefficient. The distribution of hub regions in the functional networks had fewer nodes in the severe hypoxic ischemic encephalopathy group compared with the mild hypoxic ischemic encephalopathy group. Moreover, nodal efficiency was reduced in the left rolandic operculum, left supramarginal gyrus, bilateral superior temporal gyrus, and right middle temporal gyrus. These results suggest that the topological structure of the resting state functional network in children with severe hypoxic ischemic encephalopathy is clearly distinct from that in children with mild hypoxic ischemic encephalopathy, and may be associated with impaired language, motion, and cognition. These data indicate that it may be possible to make early predictions regarding brain development in children with severe hypoxic ischemic encephalopathy, enabling early interventions targeting brain function. This study was approved by the Regional Ethics Review Boards of the Changzhou Children's Hospital (approval No. 2013-001) on January 31, 2013. Informed consent was obtained from the family members of the children. The trial was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR1800016409) and the protocol version is 1.0.

Indexed as

brain functional connectivitybrain networksclustering coefficienthypoxic ischemic encephalopathylocal efficiencyneonatesnerve regenerationneural regenerationresting-state functional magnetic resonance imagingsmall-world organization

Identifiers

PMID30632504
PMCPMC6352595
OpenAlexW2911167985

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.