Evidence map›Paper›PMID 42230913›Full record

ArticleScientific reports2026

The micro-structural changes in white matter fibers associated with anxiety and depression in moderate-severe obstructive sleep apnea.

Danyang Li, Xiangbo Yan, Ningning An, Wei Zhao, Qing Zhang, Jianlin Wu

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Danyang Li *Dalian Medical University, Dalian, China.
Xiangbo Yan *Imaging Department, Affiliated Zhongshan Hospital Dalian University, Dalian, China. yan_xiangb@163.com.ORCID https://orcid.org/0000-0003-0029-0995
Ningning AnImaging Department, Affiliated Zhongshan Hospital Dalian University, Dalian, China.
Wei ZhaoSchool of software, Henan Polytechnic University, Jiaozuo, China.
Qing ZhangImaging Department, Affiliated Zhongshan Hospital Dalian University, Dalian, China.
Jianlin WuImaging Department, Affiliated Zhongshan Hospital Dalian University, Dalian, China. cjr.wujianlin@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared the effectiveness of Automated Fiber Quantification (AFQ) and Tract-Based Spatial Statistics (TBSS) in detecting white matter (WM) changes in patients with moderate-to-severe obstructive sleep apnea (OSA), aiming to identify the more suitable method for investigating WM alterations of OSA patients. It also explored the potential neuropathological links between WM changes and anxiety/depression in OSA. Thirty-three untreated patients with moderate-severe OSA and 28 good sleepers without sleep disorders underwent 3.0T MRI scans. TBSS was used to construct WM skeletons and compare diffusion tensor imaging (DTI) metrics between groups. AFQ was then applied to extract 20 major fiber tracts from each subject, with each tract divided into 100 nodes to precisely localize affected areas. TBSS revealed no significant group differences after correction. In contrast, AFQ identified significant changes: decreased fractional anisotropy at nodes 77-78 of the forceps major (positively correlated with anxiety scores); increased mean diffusivity at nodes 23-24 of the right thalamic radiation; and increased axial diffusivity at nodes 54-57 of the right inferior fronto-occipital fasciculus (negatively correlated with anxiety and depression scores), and nodes 66-68 of the right superior longitudinal fasciculus. AFQ is more sensitive than TBSS in detecting focal WM changes in OSA, allowing precise localization of affected fiber nodes. These WM alterations, particularly in the corpus callosum and right inferior fronto-occipital fasciculus, are linked to anxiety and depression, offering insights into the neuropathological mechanisms of anxiety and depression in OSA.

Indexed as

AnxietyDepressionSleep Apnea, ObstructiveWhite MatterAdultDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedAnxietyAutomated fiber quantification technologyDepressionDiffusion tensor imagingObstructive sleep apneaWhite matter fiber tracts

Identifiers

PMID42230913
PMCPMC13487148

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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.