Järvelä Matti, Kananen Janne, Korhonen Vesa, Huotari Niko, Ansakorpi Hanna, Kiviniemi Vesa
Department of Diagnostic Radiology, Medical Research Center (MRC), Oulu University Hospital, Oulu, Finland.
Research unit of Medical Imaging, Physics and Technology, the Faculty of Medicine, University of Oulu, Oulu, Finland.
Commun Med (Lond). 2022 Sep 30;2:122. doi: 10.1038/s43856-022-00187-4. eCollection 2022.
Narcolepsy is a chronic neurological disease characterized by daytime sleep attacks, cataplexy, and fragmented sleep. The disease is hypothesized to arise from destruction or dysfunction of hypothalamic hypocretin-producing cells that innervate wake-promoting systems including the ascending arousal network (AAN), which regulates arousal via release of neurotransmitters like noradrenalin. Brain pulsations are thought to drive intracranial cerebrospinal fluid flow linked to brain metabolite transfer that sustains homeostasis. This flow increases in sleep and is suppressed by noradrenalin in the awake state. Here we tested the hypothesis that narcolepsy is associated with altered brain pulsations, and if these pulsations can differentiate narcolepsy type 1 from healthy controls.
In this case-control study, 23 patients with narcolepsy type 1 (NT1) were imaged with ultrafast fMRI (MREG) along with 23 age- and sex-matched healthy controls (HC). The physiological brain pulsations were quantified as the frequency-wise signal variance. Clinical relevance of the pulsations was investigated with correlation and receiving operating characteristic analysis.
We find that variance and fractional variance in the very low frequency (MREG) band are greater in NT1 compared to HC, while cardiac (MREG) and respiratory band variances are lower. Interestingly, these pulsations differences are prominent in the AAN region. We further find that fractional variance in MREG shows promise as an effective bi-classification metric (AUC = 81.4%/78.5%), and that disease severity measured with narcolepsy severity score correlates with MREG variance (R = -0.48, p = 0.0249).
We suggest that our novel results reflect impaired CSF dynamics that may be linked to altered glymphatic circulation in narcolepsy type 1.
发作性睡病是一种慢性神经疾病,其特征为日间睡眠发作、猝倒和睡眠碎片化。该疾病被认为是由下丘脑分泌食欲素的细胞遭到破坏或功能失调所致,这些细胞支配包括上行唤醒网络(AAN)在内的促进觉醒系统,AAN通过释放去甲肾上腺素等神经递质来调节觉醒。脑脉动被认为可驱动与脑代谢物转运相关的颅内脑脊液流动,从而维持体内平衡。这种流动在睡眠时增加,在清醒状态下被去甲肾上腺素抑制。在此,我们检验了以下假设:发作性睡病与脑脉动改变有关,以及这些脉动是否能够区分1型发作性睡病与健康对照。
在这项病例对照研究中,对23例1型发作性睡病(NT1)患者以及23名年龄和性别匹配的健康对照(HC)进行了超快功能磁共振成像(MREG)检查。将生理性脑脉动量化为频率方向的信号方差。通过相关性分析和接受操作特征分析研究脉动的临床相关性。
我们发现,与HC相比,NT1患者在极低频(MREG)波段的方差和分数方差更大,而心脏(MREG)和呼吸波段的方差更低。有趣的是,这些脉动差异在AAN区域尤为显著。我们进一步发现,MREG的分数方差有望作为一种有效的二分类指标(AUC = 81.4%/78.5%),并且用发作性睡病严重程度评分衡量的疾病严重程度与MREG方差相关(R = -0.48,p = 0.0249)。
我们认为,我们的新结果反映了脑脊液动力学受损,这可能与1型发作性睡病中类淋巴循环改变有关。