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White matter microstructural alterations in chronic insomnia: an automated fiber quantification study linking
Zhengwei Qu1, Wenzheng Zhang2, Maoyang Wang2
1Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Automated Fiber Quantification (AFQ) revealed white matter abnormalities in chronic insomnia (CI). Specific diffusion changes in brain tracts correlated with clinical insomnia severity scores.
Area of Science:
- Neuroimaging
- Neuroscience
- Medical Imaging
Background:
- Chronic insomnia (CI) is a prevalent sleep disorder.
- White matter integrity may be affected in CI.
- Understanding these changes can inform treatment strategies.
Purpose of the Study:
- To investigate white matter alterations in chronic insomnia (CI) using Automated Fiber Quantification (AFQ).
- To correlate white matter changes with clinical severity in CI patients.
Main Methods:
- Diffusion tensor imaging (DTI) data were acquired from 49 CI patients and 27 healthy controls.
- Automated Fiber Quantification (AFQ) was used to analyze DTI metrics (FA, AD, MD, RD) across 18 major white matter tracts.
- Tract-specific diffusion metrics were compared between CI patients and controls.
Main Results:
- Chronic insomnia patients exhibited increased axial diffusivity (AD) in bilateral anterior thalamic radiations, right inferior longitudinal fasciculus, and right arcuate fasciculus.
- Increased mean diffusivity (MD) was observed in bilateral anterior thalamic radiations, right corticospinal tract, forceps minor of the corpus callosum, and right inferior longitudinal fasciculus.
- Significant correlations were found between diffusion changes in specific white matter tracts and clinical insomnia severity scores.
Conclusions:
- Automated Fiber Quantification (AFQ) effectively identified fiber-specific white matter abnormalities in chronic insomnia.
- These findings highlight the link between white matter integrity and the clinical presentation of chronic insomnia.
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