Circadian and homeostatic modulation of functional connectivity and regional cerebral blood flow in humans under normal entrained conditions.

Circadian and homeostatic modulation of functional connectivity and regional cerebral blood flow in humans under normal entrained conditions.
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DOI:
10.1038/jcbfm.2014.109
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发表时间:
2014-09
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Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
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昼夜节律在人类的睡眠、嗅觉和学习等多种行为中都有观察到。尽管它的潜在影响,一天中的时间很少被考虑时,大脑反应的神经成像技术进行研究。为了解决这个问题,我们明确研究了昼夜节律和稳态调节对功能连接(FC)和局部脑血流量(rCBF)在健康志愿者,使用全脑静息状态功能磁共振成像(rs-fMRI)和动脉自旋标记(ASL)的影响。与许多昼夜节律研究一样,我们收集唾液皮质醇来代表正常的昼夜节律活动和下丘脑-垂体-肾上腺(HPA)轴的功能。有趣的是,我们观察到的FC和rCBF的变化表明默认模式网络(DMN)从早上到下午的功能整合基本下降。在前扣带皮层(ACC),我们的研究结果表明,早晨皮质醇水平与rCBF呈负相关。我们假设HPA轴的稳态机制在调节DMN(特别是ACC)的功能完整性方面具有作用,并且为了使用fMRI作为工具来测量疾病过程或治疗反应的变化,我们证明了在解释静息状态数据时,一天中的时间是重要的。
Diurnal rhythms have been observed in human behaviors as diverse as sleep, olfaction, and learning. Despite its potential impact, time of day is rarely considered when brain responses are studied by neuroimaging techniques. To address this issue, we explicitly examined the effects of circadian and homeostatic regulation on functional connectivity (FC) and regional cerebral blood flow (rCBF) in healthy human volunteers, using whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) and arterial spin labeling (ASL). In common with many circadian studies, we collected salivary cortisol to represent the normal circadian activity and functioning of the hypothalamic–pituitary–adrenal (HPA) axis. Intriguingly, the changes in FC and rCBF we observed indicated fundamental decreases in the functional integration of the default mode network (DMN) moving from morning to afternoon. Within the anterior cingulate cortex (ACC), our results indicate that morning cortisol levels are negatively correlated with rCBF. We hypothesize that the homeostatic mechanisms of the HPA axis has a role in modulating the functional integrity of the DMN (specifically, the ACC), and for the purposes of using fMRI as a tool to measure changes in disease processes or in response to treatment, we demonstrate that time of the day is important when interpreting resting-state data.
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