Journal of Cerebral Blood Flow & Metabolism · 2014 · 137 citations · 29 references
Life SciencesNeurobiologyNeuroscienceBehavioral NeuroscienceCircadian RhythmsNeuroendocrinologyCircadian Activity PatternsCircadian Clock MechanismsCircadian EndocrinologyCircadian PhysiologyFunctional ConnectivitySleep-wake RegulationArterial Spin LabelingCircadian Hormonal RegulationCircadian Regulation Of CortisolFunctional Brain ConnectivityHpa Axis ActivityHypothalamic-pituitary-adrenal Axis RegulationRegional Cerebral Blood FlowSalivary Cortisol
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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A default mode of brain function
Marcus E. Raichle, Ann Mary MacLeod, Abraham Z. Snyder et al. · Proceedings of the National Academy of Sciences · 2001 · 12.4K citations