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Astrocytes play a crucial role in regulating sleep-wake behavior. However, how astrocytes govern a specific sleep-arousal circuit remains unknown. Here, the authors show that parafacial zone (PZ) astrocytes responded to sleep-wake cycles with state-differential Ca activity, peaking during transitions from sleep to wakefulness. Using chemogenetic and optogenetic approaches, they find that activating PZ astrocytes elicited and sustained wakefulness by prolonging arousal episodes while impeding transitions from wakefulness to non-rapid eye movement (NREM) sleep. Activation of PZ astrocytes specially induced the elevation of extracellular adenosine through the ATP hydrolysis pathway but not equilibrative nucleoside transporter (ENT) mediated transportation. Strikingly, the rise in adenosine levels induced arousal by activating A receptors, suggesting a distinct role for adenosine in the PZ beyond its conventional sleep homeostasis modulation observed in the basal forebrain (BF) and cortex. Moreover, at the circuit level, PZ astrocyte activation induced arousal by suppressing the GABA release from the PZ neurons, which promote NREM sleep and project to the parabrachial nucleus (PB). Thus, their study unveils a distinctive arousal-promoting effect of astrocytes within the PZ through extracellular adenosine and elucidates the underlying mechanism at the neural circuit level.
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http://dx.doi.org/10.1002/advs.202407706 | DOI Listing |
Sleep Adv
July 2025
Division of General Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
Study Objectives: Circulating non-esterified fatty acids (NEFAs) have been associated with impaired glucose metabolism but their modifiable determinants remain uncertain. We sought to determine the association between objectively-measured sleep disordered breathing (SDB), which is also associated with dysglycemia, and NEFA levels among community-dwelling older adults.
Methods: We analyzed 787 older adults who had total fasting and post-load NEFAs measured in 1996-1997 in the Cardiovascular Health Study and underwent polysomnography between 1995 and 1997 in the Sleep Heart Health Study.
Sleep Adv
June 2025
Sleep and Performance Research Center, Washington State University, Spokane, WA, United States.
Study Objectives: There are large individual differences in the homeostatic response to sleep deprivation, as reflected in slow wave sleep (SWS) and electroencephalogram (EEG) spectral power, which have largely been left unexplained. Recent evidence suggests the possible involvement of the activity-regulated cytoskeleton-associated protein () gene. Here we assessed the effects of the "c.
View Article and Find Full Text PDFNeuropsychologia
September 2025
Department of Experimental Psychology and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United-Kingdom. Electronic address:
Models of memory consolidation propose that newly acquired memory traces undergo reorganisation during sleep. To test this idea, we recorded high-density electroencephalography (EEG) during an evening session of word-image learning followed by immediate (pre-sleep) and delayed (post-sleep) recall. Polysomnography was employed throughout the intervening night, capturing time spent in different sleep stages.
View Article and Find Full Text PDFNeuropsychologia
September 2025
University of Adelaide, Adelaide, South Australia, Australia 5000.
Sleep neurophysiology undergoes significant changes across the lifespan, which coincide with age-related differences in memory, particularly for emotional information. However, the mechanisms that underlie these effects remain poorly understood. One potential mechanism is the aperiodic component, which reflects "neural noise", differs across age, and is predictive of perceptual and cognitive processes.
View Article and Find Full Text PDFBrain Topogr
September 2025
School of Biomedical Sciences, University of New South Wales (UNSW), Wallace Wurth Building, Kensington, NSW, 2052, Australia.
Different levels of reduced consciousness characterise human sleep stages at the behavioural level. On electroencephalography (EEG), the identification of sleep stages predominantly relies on localised oscillatory power within distinct frequency bands. Several theoretical frameworks converge on the central significance of long-range information sharing in maintaining consciousness, which experimentally manifests as high functional connectivity (FC) between distant brain regions.
View Article and Find Full Text PDF