引用本文:袁 野,盛 茂,王 松,崔 萍,连 虎,吴 慧,钟 星,夏金翔,李传敏.静息态功能磁共振在阻塞性睡眠呼吸暂停综合征患者脑结构观测中的应用价值研究[J].中国临床新医学,2025,18(4):435-439.
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静息态功能磁共振在阻塞性睡眠呼吸暂停综合征患者脑结构观测中的应用价值研究
袁 野,盛 茂,王 松,崔 萍,连 虎,吴 慧,钟 星,夏金翔,李传敏
合肥市第二人民医院(安徽医科大学附属合肥医院)影像中心,合肥 230000
摘要:
[摘要] 目的 探讨静息态功能磁共振在阻塞性睡眠呼吸暂停综合征(OSAS)患者脑结构观测中的应用价值。方法 招募2022年6月至2024年6月合肥市第二人民医院收治的OSAS患者36例为观察组,健康体检者36名为对照组。应用多导睡眠图(PSG)监测研究对象睡眠情况。通过静息态功能磁共振扫查头部,运用基于体素形态学测量分析(VBM)获得脑灰质体积(GMV),并分析观察组不同脑区GMV变化情况。应用埃普沃思嗜睡调查问卷(ESS)、蒙特利尔认知评估量表(MoCA)、简易精神状态检查量表(MMSE)、汉密尔顿抑郁量表(HAMD)、汉密尔顿焦虑量表(HAMA)对研究对象进行测评。通过Pearson相关分析探讨右侧额上回GMV与MoCA评分的相关性。结果 观察组呼吸暂停低通气指数(AHI)、觉醒次数大于对照组,平均血氧浓度、最低血氧浓度、深睡眠期占比低于对照组,差异有统计学意义(P<0.05)。两组浅睡眠期占比差异无统计学意义(P>0.05)。观察组HAMD评分、HAMA评分、ESS评分高于对照组,MoCA评分、MMSE评分低于对照组,差异有统计学意义(P<0.05)。与对照组相比,观察组双侧颞上回、双侧丘脑、右侧额上回、左侧中央后回、右侧中央前回的GMV显著减小,未发现GMV增加的脑区。右侧额上回GMV与MoCA评分呈正相关(r=0.380,P=0.011)。结论 静息态功能磁共振有助于早期发现OSAS患者存在的脑结构及功能异常,指导临床早期干预,改善患者预后。
关键词:  阻塞性睡眠呼吸暂停综合征  静息态功能磁共振  基于体素形态学测量分析  脑灰质体积  脑功能
DOI:10.3969/j.issn.1674-3806.2025.04.15
分类号:
基金项目:
A study on application value of resting-state functional magnetic resonance imaging in observation of brain structure in patients with obstructive sleep apnea syndrome
YUAN Ye, SHENG Mao, WANG Song, CUI Ping, LIAN Hu, WU Hui, ZHONG Xing, XIA Jinxiang, LI Chuanmin
Medical Imaging Center, the Second People′s Hospital of Hefei(Hefei Hospital Affiliated to Anhui Medical University), Hefei 230000, China
Abstract:
[Abstract] Objective To explore the application value of resting-state functional magnetic resonance imaging in observation of brain structure in patients with obstructive sleep apnea syndrome(OSAS). Methods A total of 36 patients with OSAS who were admitted to the Second People′s Hospital of Hefei from June 2022 to June 2024 were recruited as observation group, and 36 subjects undergoing healthy physical examination as control group. Polysomnography(PSG) was used to monitor the research subjects′ sleep quality. The changes of cerebral gray matter volume(GMV) in different brain regions of the observation group were analyzed by scanning the research subjects′ heads with resting-state functional magnetic resonance imaging and using voxel-based morphometry(VBM) to obtain GMV. The research subjects were assessed by using Epworth Sleepiness Scale(ESS), Montreal Cognitive Assessment(MoCA), Mini-Mental State Examination(MMSE), Hamilton Depression Scale(HAMD) and Hamilton Anxiety Scale(HAMA). Pearson correlation analysis was used to explore the correlation between the GMV of right superior frontal gyrus and MoCA scores. Results The apnoea hypopnoea index(AHI) and number of wake after sleep onset(WASO) in the observation group were larger than those in the control group, and the average oxygen concentration in the blood, minimum oxygen concentration in the blood and proportion of deep sleep phase in the observation group were lower than those in the control group, with statistically significant differences between the two groups(P<0.05). There was no significant difference in the proportion of light sleep phase between the two groups(P>0.05). The HAMD scores, HAMA scores and ESS scores in the observation group were higher than those in the control group, while the MoCA scores and MMSE scores in the observation group were lower than those in the control group, with statistically significant differences between the two groups(P<0.05). Compared with that in the control group, the GMV of bilateral superior temporal gyrus, bilateral thalamus, right superior frontal gyrus, left postcentral gyrus, and right precentral gyrus in the observation group was significantly decreased, and no brain regions with increased GMV were found. The GMV of the right superior frontal gyrus was positively correlated with the MoCA scores(r=0.380, P=0.011). Conclusion Resting-state functional magnetic resonance imaging is helpful for early detection of brain structural and functional abnormalities in OSAS patients, which guides early clinical intervention and improves the patients′ prognosis.
Key words:  Obstructive sleep apnea syndrome(OSAS)  Resting-state functional magnetic resonance imaging  Voxel-based morphometry(VBM)  Cerebral gray matter volume(GMV)  Brain function