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Temporal regularity of intrinsic cerebral activity in patients with chronic primary insomnia: a brain entropy study using resting-state fMRI

机译:慢性原发性失眠患者内在大脑活动的时间规律:使用静止状态功能磁共振成像的脑熵研究

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Abstract Introduction Several neuroimaging studies have suggested that patients with chronic primary insomnia (CPI) exhibit anatomical and functional alterations of the brain, but the temporal regularity in spontaneous neuronal activity remains unknown. Here, brain entropy (BEN), a data-driven method used to measure the signal regularity of a time series, was applied for the first time to investigate changes in the entire brain at the voxel level. Methods Resting-state functional MRI data were used to investigate insomnia-related BEN alterations and the resting-state functional connectivity (rsFC) pattern in seed regions with altered BEN in 29 patients with identified and untreated CPI and 29 matched healthy controls. Subsequently, within the CPI group, correlation analysis was conducted to evaluate the relationship between the clinical variables and the BEN and rsFC of the abnormal regions. Results Chronic primary insomnia patients showed significant increase in BEN in the central part of the default-mode network (DMN), the anterior regions of the task-positive network (TPN), the hippocampus (Hipp), and basal ganglia (BG), and decreases in BEN in the right postcentral gyrus (PoCG) and right temporal?¢????occipital junction (TOJ). We also demonstrated that three altered resting-state functional connectivity (rsFC) patterns were associated with abnormal BEN regions in CPI patients. Correlation analysis identified an association between the altered rsFC and clinical variables, such as the Pittsburgh Sleep Quality Index (PSQI), in CPI patients. Conclusions Together, these findings suggest that abnormal BEN-related intrinsic functional plasticity in CPI patients corresponds to poor sleep quality during chronic insomnia. Alterations in both BEN and its affected connectivity may improve our understanding of treatment-na???ˉve CPI patients and promote the future development of new therapeutic strategies.
机译:摘要简介多项神经影像学研究表明,慢性原发性失眠(CPI)患者表现出大脑的解剖和功能改变,但自发性神经元活动的时间规律尚不清楚。在这里,脑熵(BEN)是一种数据驱动的方法,用于测量时间序列的信号规律性,该方法首次用于研究整个大脑在体素水平上的变化。方法采用静息态功能MRI数据调查29例经鉴定和未经治疗的CPI患者以及29例健康对照者中,失眠相关的BEN改变以及种子区域中BEN改变的静息状态功能连接(rsFC)模式。随后,在CPI组中,进行了相关分析以评估临床变量与异常区域的BEN和rsFC之间的关系。结果慢性原发性失眠患者的默认模式网络(DMN)中心,任务阳性网络(TPN)的前部区域,海马(Hipp)和基底神经节(BG)的BEN显着增加,右中后回(PoCG)和右颞颞枕连接(TOJ)的BEN减少。我们还证明了三种改变的静息状态功能连接(rsFC)模式与CPI患者的BEN异常区域有关。相关分析确定了CPI患者中rsFC改变与临床变量(如匹兹堡睡眠质量指数(PSQI))之间的关联。结论总之,这些发现表明CPI患者中与BEN相关的内在功能可塑性异常与慢性失眠期间的睡眠质量差相对应。 BEN及其受影响连接性的改变可能会增进我们对未接受过CPI治疗的患者的了解,并促进新治疗策略的未来发展。

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