Static and temporal dynamic alterations of local functional connectivity in chronic insomnia
Jingwen Li1, Shumei Li2, Shaoqin Zeng2
1Department of Nuclear Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, No.466 Road XinGang, Guangzhou, 510317, P. R. China.
Brain Imaging and Behavior
|September 18, 2024
Summary
This study reveals how brain activity changes over time in chronic insomnia (CI). Dynamic brain connectivity alterations in the right precuneus and static changes in the right cerebellum may help identify CI patients.
Area of Science:
- Neuroscience
- Medical Imaging
- Psychiatry
Background:
- Chronic insomnia (CI) is associated with altered intrinsic neural activity.
- Temporal dynamics of this neural activity in CI remain underexplored.
- Understanding these dynamics is crucial for elucidating CI's neurological underpinnings.
Purpose of the Study:
- To investigate static and temporal dynamic alterations in regional homogeneity (ReHo) in individuals with CI.
- To explore the association between these ReHo changes and clinical characteristics of CI.
- To assess the diagnostic potential of ReHo metrics in differentiating CI patients from healthy controls (HCs).
Main Methods:
- Eighty-seven CI patients and seventy-eight HCs underwent resting-state functional magnetic resonance imaging (fMRI).
- Static and dynamic ReHo analyses were employed to assess local functional connectivity.
- Correlation analyses linked altered brain regions with disease duration and clinical scales; ROC analysis was used for diagnostic capability assessment.
Main Results:
- CI patients exhibited increased dynamic ReHo in the right precuneus and decreased static ReHo in the right cerebellum_6.
- Dynamic ReHo in the right precuneus correlated negatively with depression scores.
- Static ReHo in the right cerebellum_6 correlated positively with cognitive (Naming) scores; combined metrics showed improved diagnostic accuracy.
Conclusions:
- Altered local functional connectivity, both static and dynamic, is present in individuals with CI.
- These brain changes are associated with mood and cognitive symptoms, offering insights into CI's neurological mechanisms.
- Combined static and dynamic ReHo metrics demonstrate potential for distinguishing CI patients from HCs.
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