Disrupted frontostriatal connectivity in primary insomnia: a DTI study.
Longmao Chen1,2, Ziqiang Shao1,2, Yan Xu1,2
1School of Life Science and Technology, Xidian University, Xi'an, 710071, China.
Brain Imaging and Behavior
|March 2, 2021
Summary
Patients with primary insomnia (PI) show reduced structural brain connectivity in frontostriatal circuits. These findings suggest DTI-based track strength may serve as a neuroimaging biomarker for sleep quality in PI.
Area of Science:
- Neuroimaging
- Sleep Medicine
- Neurology
Background:
- Sleep-wake transition dysfunction is linked to primary insomnia (PI) pathology.
- Brain circuits connecting the striatum and cortex are known to regulate sleep-wake transitions.
- Limited research exists on striatum-centered circuit structural connectivity in PI patients.
Purpose of the Study:
- To investigate the structural connectivity of striatum-centered circuits in patients with primary insomnia (PI).
- To explore the relationship between structural connectivity and sleep quality in PI.
- To identify potential neuroimaging biomarkers for PI.
Main Methods:
- Used diffusion tensor imaging (DTI) with seed-based classification and probabilistic tractography.
- Focused on striatum-centered circuits with 10 predefined target regions.
- Compared track strengths between 22 PI patients and 30 healthy controls (HC).
- Utilized the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality.
Main Results:
- Patients with PI exhibited lower track strengths in specific frontostriatal circuits, including left striatum-ACC, left striatum-dACC, left striatum-Hippocampus, and right striatum-Hippocampus, compared to HC.
- Lower track strengths in these circuits were negatively correlated with PSQI scores.
- Findings indicate altered system-level structural connections in PI.
Conclusions:
- Reduced structural connectivity in frontostriatal circuits is observed in patients with primary insomnia.
- DTI-derived track strengths of frontostriatal circuits may serve as potential neuroimaging biomarkers for assessing sleep quality in PI.
- This study highlights the role of structural brain network integrity in the pathology of primary insomnia.
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