Evidence map›Paper›PMID 41307007›Full record

ArticleNature and science of sleep2025

Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study.

Yiwei Zhao, Xuerong Shi, Guo Shen, Huiyan Zhang, Yanan Xu, Jing Gao, Ziyang Zhao, Miao Chen, Wenwen Zhang, Gang Huang and 2 more

Abstract read
In one paragraph

Article in Nature and science of sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yiwei Zhao *The First Clinical Medical College, Gansu University of Traditional Chinese Medicine (Gansu Provincial Hospital), Lanzhou, 730000, People's Republic of China.
Xuerong Shi *Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Guo Shen *Department of Radiology, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Huiyan ZhangDepartment of Radiology, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Yanan XuThe First Clinical Medical College, Gansu University of Traditional Chinese Medicine (Gansu Provincial Hospital), Lanzhou, 730000, People's Republic of China.
Jing GaoThe First Clinical Medical College, Gansu University of Traditional Chinese Medicine (Gansu Provincial Hospital), Lanzhou, 730000, People's Republic of China.
Ziyang ZhaoGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Miao ChenGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Wenwen ZhangDepartment of Radiology, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Gang HuangDepartment of Radiology, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Zhijun YaoGansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Lianping ZhaoDepartment of Radiology, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.ORCID 0000-0002-1170-771X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Obstructive sleep apnea (OSA) has been associated with alterations in white-matter integrity. However, few studies have examined topological alterations of white-matter structural networks in OSA. We aimed to investigate alterations in brain structural networks in patients with OSA using diffusion tensor imaging (DTI) combined with the network-based statistic (NBS). Methods: Clinical, neuropsychological, and DTI data were collected from 77 patients with OSA and 83 healthy controls (HCs). DTI-based structural networks were established based on whole-brain probabilistic tractography. The inter-group difference in topological properties was compared. NBS analysis was performed to assess changes in network connectivity, and the correlation between topological properties and clinical variables was evaluated. Results: Graph theory analysis showed reduced betweenness centrality (BC) in the left dorsolateral superior frontal gyrus (SFGdor.L) and supplementary motor area (SMA.L) and reduced nodal efficiency (NE) of the SFGdor.L in patients with OSA. NBS analysis revealed abnormalities in a sub-network with 14 nodes, where positive connectivity was observed between individual nodes in patients with OSA. Conclusion: Our findings show alterations in BC and NE of the SFGdor.L and BC of the SMA.L that may reflect neurobiological features of white-matter network disruption in OSA and could represent potential imaging biomarkers of early cerebral involvement. These results are correlational and longitudinal studies are needed to determine temporal relationships and causal effects.

Indexed as

cognitive functiondiffusion tensor imaginggraph theory analysisnetwork-based statisticobstructive sleep apneastructural brain networks

Identifiers

PMID41307007
PMCPMC12645121

What Socratic 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 Socratic graph.