Impaired Arousal Response to Increased Airflow Resistance during Slow Wave Sleep

1988 ◽  
Vol 74 (s18) ◽  
pp. 61P-61P
Author(s):  
M Gugger ◽  
GA Gould ◽  
JC Molloy ◽  
NJ Douglas
1969 ◽  
Vol 47 (10) ◽  
pp. 889-905 ◽  
Author(s):  
Herbert H. Jasper ◽  
Ikuko Koyama

The rate of release of amino acids from the cerebral cortex has been measured by a surface superfusion technique in spinal (encephale isolé) cat preparations in relation to the state of cortical activation by stimulation or destruction of the midbrain reticular formation (MRF). Reticular stimulation, with desynchronized cortical activation simulating "arousal", was found to cause a selective increase three-to seven-fold (0.3 to 2.0 mμmoles/min per cm2) in the liberation of glutamic acid without significant change in glutamine, valine, and leucine, suggesting that glutamic acid may be involved either directly or indirectly in the chemical mediation of reticulo–cortical activation. Uniformly lower values were obtained during slow-wave sleep. A smaller and less consistent increase was found in aspartic acid, glycine, and taurine. Free GABA was released in the cortical superfusate in amounts ranging from 0.2 to 2.0 mμmoles/min per cm2 only during periods of slow-wave sleep or following lesions of the MRF. GABA was reduced to undetectable amounts by reticulo–cortical activation with desynchronization of the EEG, confirming previous studies showing an increase in free GABA during sleep. An increase in the rate of liberation of acetylcholine (ACh) by mesial thalamic stimulation in preparations in which the same stimulation produced no increase in glutamic acid shows that it is possible to dissociate certain of the anatomical pathways responsible for cholinergic cortical activation from those responsible for the release of glutamic acid. Quantitative comparison between the increases in ACh and glutamic acid by MRF stimulation would suggest that glutamic acid may be as important as ACh in neurochemical mechanisms underlying the reticulo–cortical arousal response, even though different release mechanisms may be involved.


1987 ◽  
Vol 116 (3_Suppl) ◽  
pp. S60-S61
Author(s):  
J. BORN ◽  
R. PIETROWSKY ◽  
P. PAUSCHINGER ◽  
H. L. FEHM

SLEEP ◽  
2021 ◽  
Author(s):  
Brice V McConnell ◽  
Eugene Kronberg ◽  
Peter D Teale ◽  
Stefan H Sillau ◽  
Grace M Fishback ◽  
...  

Abstract Study Objectives Slow wave and spindle coupling supports memory consolidation, and loss of coupling is linked with cognitive decline and neurodegeneration. Coupling is proposed to be a possible biomarker of neurological disease, yet little is known about the different subtypes of coupling that normally occur throughout human development and aging. Here we identify distinct subtypes of spindles within slow wave upstates and describe their relationships with sleep stage across the human lifespan. Methods Coupling within a cross-sectional cohort of 582 subjects was quantified from stages N2 and N3 sleep across ages 6-88 years old. Results were analyzed across the study population via mixed model regression. Within a subset of subjects, we further utilized coupling to identify discrete subtypes of slow waves by their coupled spindles. Results Two different subtypes of spindles were identified during the upstates of (distinct) slow waves: an “early-fast” spindle, more common in stage N2 sleep, and a “late-fast” spindle, more common in stage N3. We further found stages N2 and N3 sleep contain a mixture of discrete subtypes of slow waves, each identified by their unique coupled-spindle timing and frequency. The relative contribution of coupling subtypes shifts across the human lifespan, and a deeper sleep phenotype prevails with increasing age. Conclusions Distinct subtypes of slow waves and coupled spindles form the composite of slow wave sleep. Our findings support a model of sleep-dependent synaptic regulation via discrete slow wave/spindle coupling subtypes and advance a conceptual framework for the development of coupling-based biomarkers in age-associated neurological disease.


2020 ◽  
pp. 1-12
Author(s):  
Kimberly H. Wood ◽  
Adeel A. Memon ◽  
Raima A. Memon ◽  
Allen Joop ◽  
Jennifer Pilkington ◽  
...  

Background: Cognitive and sleep dysfunction are common non-motor symptoms in Parkinson’s disease (PD). Objective: Determine the relationship between slow wave sleep (SWS) and cognitive performance in PD. Methods: Thirty-two PD participants were evaluated with polysomnography and a comprehensive level II neurocognitive battery, as defined by the Movement Disorders Society Task Force for diagnosis of PD-mild cognitive impairment. Raw scores for each test were transformed into z-scores using normative data. Z-scores were averaged to obtain domain scores, and domain scores were averaged to determine the Composite Cognitive Score (CCS), the primary outcome. Participants were grouped by percent of SWS into High SWS and Low SWS groups and compared on CCS and other outcomes using 2-sided t-tests or Mann-Whitney U. Correlations of cognitive outcomes with sleep architecture and EEG spectral power were performed. Results: Participants in the High SWS group demonstrated better global cognitive function (CCS) (p = 0.01, effect size: r = 0.45). In exploratory analyses, the High SWS group showed better performance in domains of executive function (effect size: Cohen’s d = 1.05), language (d = 0.95), and processing speed (d = 1.12). Percentage of SWS was correlated with global cognition and executive function, language, and processing speed. Frontal EEG delta power during N3 was correlated with the CCS and executive function. Cognition was not correlated with subjective sleep quality. Conclusion: Increased SWS and higher delta spectral power are associated with better cognitive performance in PD. This demonstrates the significant relationship between sleep and cognitive function and suggests that interventions to improve sleep might improve cognition in individuals with PD.


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