Simpson Benjamin K, Rangwani Rohit, Abbasi Aamir, Chung Jeffrey M, Reed Chrystal M, Gulati Tanuj
Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA.
Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA.
medRxiv. 2023 Oct 31:2023.05.01.23289359. doi: 10.1101/2023.05.01.23289359.
Sleep is known to promote recovery post-stroke. However, there is a paucity of data profiling sleep oscillations post-stroke in the human brain. Recent rodent work showed that resurgence of physiologic spindles coupled to sleep slow oscillations(SOs) and concomitant decrease in pathological delta() waves is associated with sustained motor performance gains during stroke recovery. The goal of this study was to evaluate bilaterality of non-rapid eye movement (NREM) sleep-oscillations (namely SOs, -waves, spindles and their nesting) in post-stroke patients versus healthy control subjects. We analyzed NREM-marked electroencephalography (EEG) data in hospitalized stroke-patients (n=5) and healthy subjects (n=3) from an open-sourced dataset. We used a laterality index to evaluate symmetry of NREM oscillations across hemispheres. We found that stroke subjects had pronounced asymmetry in the oscillations, with a predominance of SOs, -waves, spindles and nested spindles in one hemisphere, when compared to the healthy subjects. Recent preclinical work classified SO-nested spindles as restorative post-stroke and -wave-nested spindles as pathological. We found that the ratio of SO-nested spindles laterality index to -wave-nested spindles laterality index was lower in stroke subjects. Using linear mixed models (which included random effects of concurrent pharmacologic drugs), we found large and medium effect size for -wave nested spindle and SO-nested spindle, respectively. Our results indicate considering laterality index of NREM oscillations might be a useful metric for assessing recovery post-stroke and that factoring in pharmacologic drugs may be important when targeting sleep modulation for neurorehabilitation post-stroke.
众所周知,睡眠有助于中风后的恢复。然而,关于人类大脑中风后睡眠振荡的数据却很匮乏。最近的啮齿动物研究表明,生理纺锤波与睡眠慢振荡(SOs)的复苏以及病理性δ波的相应减少与中风恢复期间运动功能的持续改善有关。本研究的目的是评估中风患者与健康对照者非快速眼动(NREM)睡眠振荡(即SOs、δ波、纺锤波及其嵌套情况)的双侧性。我们分析了来自一个开源数据集的住院中风患者(n = 5)和健康受试者(n = 3)的NREM标记脑电图(EEG)数据。我们使用侧性指数来评估NREM振荡在半球间的对称性。我们发现,与健康受试者相比,中风患者的振荡存在明显的不对称性,一个半球中SOs、δ波、纺锤波和嵌套纺锤波占主导。最近的临床前研究将SO嵌套纺锤波归类为中风后的恢复性指标,而将δ波嵌套纺锤波归类为病理性指标。我们发现中风患者中SO嵌套纺锤波侧性指数与δ波嵌套纺锤波侧性指数的比值较低。使用线性混合模型(其中包括同时使用的药物的随机效应),我们分别发现了δ波嵌套纺锤波和SO嵌套纺锤波的大效应量和中等效应量。我们的结果表明,考虑NREM振荡的侧性指数可能是评估中风后恢复情况的一个有用指标,并且在针对中风后神经康复进行睡眠调节时,考虑药物因素可能很重要。