Functional MRI of sleep spindles and K-complexes.

Functional MRI of sleep spindles and K-complexes.
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DOI:
10.1016/j.clinph.2011.06.018
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发表时间:
2012-02
期刊:
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子:
--
通讯作者:
Stern JM
Stern JM
中科院分区:
其他
文献类型:
--
作者:
Caporro M;Haneef Z;Yeh HJ;Lenartowicz A;Buttinelli C;Parvizi J;Stern JM

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睡眠纺锤波和K复合波是非快速眼动睡眠的脑电图标志。然而,产生这些放电的大脑区域以及它们的发生器与其他区域的功能连接并不完全清楚。我们研究了神经解剖相关的纺锤体和K复合体,同时使用脑电图和功能磁共振成像。在EEG-fMRI研究过程中记录的7个人的EEG用于fMRI分析。进行了更高级别的组分析,图像阈值为Z≥2.3。分析了106个纺锤体和60个K复合体的fMRI。Spectrometry对应于丘脑和后扣带回、右侧楔前叶、壳核、中央旁皮质和颞叶的信号增加。K复合体对应于丘脑、上级颞叶、中央旁回以及枕叶、顶叶和额叶内侧区域的信号增加。两者都不对应于信号降低的区域。纺锤体和K复合体的fMRI描绘了顶点附近的信号,这可能指示了每个放电的来源。丘脑信号与丘脑参与睡眠稳态一致。边缘区的信号与记忆巩固中的作用一致。与纺锤体不同,K复合体对应于初级感觉皮层中的广泛信号。这些活动区域的识别有助于了解睡眠网络以及睡眠期间的意识和记忆生理学。
Sleep spindles and K-complexes are EEG hallmarks of non-REM sleep. However, the brain regions generating these discharges and the functional connections of their generators to other regions are not fully known. We investigated the neuroanatomical correlates of spindles and K-complexes using simultaneous EEG and fMRI. EEGs recorded during EEG-fMRI studies of 7 individuals were used for fMRI analysis. Higher-level group analyses were performed, and images were thresholded at Z≥2.3. fMRI of 106 spindles and 60 K-complexes was analyzed. Spindles corresponded to increased signal in thalami and posterior cingulate, and right precuneus, putamen, paracentral cortex, and temporal lobe. K-complexes corresponded to increased signal in thalami, superior temporal lobes, paracentral gyri, and medial regions of the occipital, parietal and frontal lobes. Neither corresponded to regions of decreased signal. fMRI of both spindles and K-complexes depicts signal subjacent to the vertex, which likely indicates each discharges’ source. The thalamic signal is consistent with thalamic involvement in sleep homeostasis. The limbic region’s signal is consistent with roles in memory consolidation. Unlike the spindle, the K-complex corresponds to extensive signal in primary sensory cortices. Identification of these active regions contributes to the understanding of sleep networks and the physiology of awareness and memory during sleep.
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