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Altered Brain Microstate Dynamics in Adolescents with Narcolepsy

机译:发作性睡病青少年大脑微状态动力学改变

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摘要

Narcolepsy is a chronic sleep disorder caused by a loss of hypocretin-1 producing neurons in the hypothalamus. Previous neuroimaging studies have investigated brain function in narcolepsy during rest using positron emission tomography (PET) and single photon emission computed tomography (SPECT). In addition to hypothalamic and thalamic dysfunction they showed aberrant prefrontal perfusion and glucose metabolism in narcolepsy. Given these findings in brain structure and metabolism in narcolepsy, we anticipated that changes in functional magnetic resonance imaging (fMRI) resting state network (RSN) dynamics might also be apparent in patients with narcolepsy. The objective of this study was to investigate and describe brain microstate activity in adolescents with narcolepsy and correlate these to RSNs using simultaneous fMRI and electroencephalography (EEG). Sixteen adolescents (ages 13-20) with a confirmed diagnosis of narcolepsy were recruited and compared to age-matched healthy controls. Simultaneous EEG and fMRI data were collected during 10 min of wakeful rest. EEG data were analyzed for microstates, which are discrete epochs of stable global brain states obtained from topographical EEG analysis. Functional fMRI data were analyzed for RSNs. Data showed that narcolepsy patients were less likely than controls to spend time in a microstate which we found to be related to the default mode network and may suggest a disruption of this network that is disease specific. We concluded that adolescents with narcolepsy have altered resting state brain dynamics.
机译:发作性睡病是一种慢性睡眠障碍,由下丘脑中产生hypocretin-1的神经元丢失引起。以前的神经影像学研究已经使用正电子发射断层扫描(PET)和单光子发射计算机断层扫描(SPECT)研究了休息时发作性睡病的大脑功能。除了下丘脑和丘脑功能障碍外,他们在发作性睡病中还表现出异常的前额叶灌注和葡萄糖代谢。考虑到发作性睡病的大脑结构和代谢方面的这些发现,我们预计发作性睡病患者的功能磁共振成像(fMRI)静息状态网络(RSN)动力学变化也可能很明显。这项研究的目的是调查和描述嗜睡症青少年的大脑微状态活动,并使用同步功能磁共振成像和脑电图(EEG)将这些活动与RSN相关联。招募了16名确诊为发作性睡病的青少年(13-20岁),并将其与年龄相匹配的健康对照进行比较。在清醒休息的10分钟内收集了同时的EEG和fMRI数据。分析脑电数据的微观状态,这是从地形脑电图分析获得的稳定的全局脑状态的离散时期。分析功能性fMRI数据中的RSN。数据显示,发作性睡病患者比对照组更不可能将时间花在微状态上,我们发现这与默认模式网络有关,并且可能暗示该网络因疾病而异。我们得出的结论是,患有发作性睡病的青少年已经改变了静息状态的大脑动力学。

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