Evidence map›Paper›PMID 37906404›Full record

ArticleBrain imaging and behavior2024

Diffusion kurtosis imaging tractography reveals disrupted white matter structural networks in children with obstructive sleep apnea syndrome.

Yanhua Li, Hongwei Wen, Wenfeng Li, Yun Peng, Hongbin Li, Jun Tai, Tingting Ji, Lin Mei, Yue Liu

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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 at 6 institutions in 1 country.

Yanhua LiDepartment of Radiology, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, 56 Nanlishilu, Beijing, 100045, China.
Hongwei WenKey Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Southwest University, Chongqing, 400715, China.
Wenfeng LiDepartment of Radiology, Beijing Daxing District Hospital of Integrated Chinese and Western Medicine, Beijing, 100163, China.
Yun PengDepartment of Radiology, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, 56 Nanlishilu, Beijing, 100045, China.
Hongbin LiDepartment of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Jun TaiDepartment of Otolaryngology, Head and Neck Surgery, Children's Hospital, Capital Institute of Pediatrics, Beijing, 100020, China.
Tingting JiDepartment of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Lin MeiDepartment of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Yue LiuDepartment of Radiology, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, 56 Nanlishilu, Beijing, 100045, China. liuyue20136@163.com.
Beijing Children’s Hospital · CNCapital Medical University · CNChildren's Hospital of Capital Institute of Pediatrics · CNIntegrated Chinese Medicine (China) · CNSouthwest University · CNZhengzhou Children's Hospital · CN

Funding

Beijing Hospitals Authority's Ascent Plan DFL20221002National Natural Science Foundation of China 12171330National Natural Science Foundation of China 32100902National Regional Medical Center Opening Project No.NRMC0108
6 · The paper itself

Abstract

To assess the disruptions of brain white matter (WM) structural network in children with obstructive sleep apnea (OSA) using diffusion kurtosis imaging (DKI). We use DKI tractography to construct individual whole-brain, region-level WM networks in 40 OSA and 28 healthy children. Then, we apply graph theory approaches to analyze whether OSA children would show altered global and regional network topological properties and whether these alterations would significantly correlate with the clinical characteristics of OSA. We found that both OSA and healthy children showed an efficient small-world organization and highly similar hub distributions in WM networks. However, characterized by kurtosis fractional anisotropy (KFA) weighted networks, OSA children exhibited decreased global and local efficiency, increased shortest path length compared with healthy children. For regional topology, OSA children exhibited significant decreased nodal betweenness centrality (BC) in the bilateral medial orbital superior frontal gyrus (ORBsupmed), right orbital part superior frontal gyrus (ORBsup), insula, postcentral gyrus, left middle temporal gyrus (MTG), and increased nodal BC in the superior parietal gyrus, pallidum. Intriguingly, the altered nodal BC of multiple regions (right ORBsupmed, ORBsup and left MTG) within default mode network showed significant correlations with sleep parameters for OSA patients. Our results suggest that children with OSA showed decreased global integration and local specialization in WM networks, typically characterized by DKI tractography and KFA metric. This study may advance our current understanding of the pathophysiological mechanisms of impaired cognition underlying OSA.

Indexed as

Sleep Apnea, ObstructiveWhite MatterBrainChildDiffusion Tensor ImagingHumansMagnetic Resonance ImagingBrain networksDiffusion kurtosis imagingGraph theoryKurtosis fractional anisotropyObstructive sleep apnea syndrome

Identifiers

PMID37906404
OpenAlexW4388046635

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.