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Diagnostic application of polysomnography combined with arterial spin labeling perfusion magnetic resonance imaging in insomnia(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2024年第8期
Page:
1010-1014
Research Field:
医学影像物理
Publishing date:

Info

Title:
Diagnostic application of polysomnography combined with arterial spin labeling perfusion magnetic resonance imaging in insomnia
Author(s):
NI Xiaohong L?Yanwen KE Hongyan TIAN Yu LIAO Yuangao
Department of Neurology, Huanggang Central Hospital (Dabie Mountain Regional Medical Center), Huanggang 438000, China
Keywords:
Keywords: insomnia polysomnography magnetic resonance arterial spin labeling
PACS:
R740;R816.1
DOI:
DOI:10.3969/j.issn.1005-202X.2024.08.014
Abstract:
Abstract: Objective To explore the application of polysomnography combined with arterial spin labeling (ASL) perfusion magnetic resonance imaging in the diagnosis of insomnia. Methods Forty-two insomnia patients admitted to Department of Neurology were included as insomnia group, while 41 healthy subjects during the same period were included as control group. The two groups were assessed using sleep habits questionnaire, hospital anxiety and depression scale, polysomnography, and ASL perfusion magnetic resonance imaging. Results Compared with control group, insomnia group took significantly more time to fall asleep (P<0.05), and has shorter sleep duration (P<0.05). The differences in the levels of anxiety and depression between two groups were trivial. The total sleep time, rapid eye movement sleep duration, and non-rapid eye movement sleep stage S2-S4 were shorter, while the sleep latency and non-rapid eye movement sleep stage S1 were longer in insomnia group as compared with control group (all P<0.05). In insomnia group, perfusion was increased in bilateral prefrontal lobes, right temporal lobe, left parietal lobe, right thalamus, and pons (P<0.05), but decreased in bilateral insula and bilateral basal ganglia (P<0.05). Conclusion The combination of polysomnography and ASL perfusion magnetic resonance imaging enables precise quantification of sleep condition.

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Last Update: 2024-08-31