Cortical visual areas process intestinal information during slow-wave sleep

2012 ◽  
Vol 25 (3) ◽  
pp. 268-e169 ◽  
Author(s):  
I. N. Pigarev ◽  
V. A. Bagaev ◽  
E. V. Levichkina ◽  
G. O. Fedorov ◽  
I. I. Busigina
Keyword(s):  
Slow Wave ◽  
Slow Wave Sleep ◽  
Visual Areas ◽  
Cortical Visual Areas

scholarly journals Visual imagery and visual perception induce similar changes in occipital slow waves of sleep

2019 ◽  
Author(s):  
Giulio Bernardi ◽  
Monica Betta ◽  
Jacinthe Cataldi ◽  
Andrea Leo ◽  
José Haba-Rubio ◽  
...  
Keyword(s):  
Slow Wave ◽  
Visual Imagery ◽  
Visual Stimulation ◽  
Nrem Sleep ◽  
Occipital Cortex ◽  
Slow Waves ◽  
Visual Areas ◽  
Eeg Changes ◽  
High Degree ◽  
Cortical Visual Areas

AbstractPrevious studies have shown that regional slow wave activity (SWA) during NREM-sleep is modulated by prior experience and learning. While this effect has been convincingly demonstrated for the sensorimotor domain, attempts to extend these findings to the visual system have provided mixed results. Here we asked whether depriving subjects of external visual stimuli during daytime would lead to regional changes in slow waves during sleep and whether the degree of ‘internal visual stimulation’ (spontaneous imagery) would influence such changes. In two 8h-long sessions spaced one-week apart, twelve healthy volunteers either were blindfolded while listening to audiobooks or watched movies (control condition), after which their sleep was recorded with high-density EEG. We found that during NREM-sleep the number of small, local slow waves in the occipital cortex decreased after listening with blindfolding relative to movie watching in a way that depended on the degree of visual imagery subjects reported during blindfolding: subjects with low visual imagery showed a significant reduction of occipital sleep slow waves, while those who reported a high degree of visual imagery did not. We also found a positive relationship between the reliance on visual imagery during blindfolding and audiobook listening and the degree of correlation in sleep SWA between visual areas and language-related areas. These preliminary results demonstrate that short-term alterations in visual experience may trigger slow wave changes in cortical visual areas. Furthermore, they suggest that plasticity-related EEG changes during sleep may reflect externally induced (‘bottom-up’) visual experiences, as well as internally generated (‘top-down’) processes.

Secretion of growth hormone during slow-wave sleep deprivation

1987 ◽  
Vol 116 (3_Suppl) ◽  
pp. S60-S61
Author(s):  
J. BORN ◽  
R. PIETROWSKY ◽  
P. PAUSCHINGER ◽  
H. L. FEHM
Keyword(s):  
Growth Hormone ◽  
Sleep Deprivation ◽  
Slow Wave ◽  
Slow Wave Sleep

scholarly journals The Aging Slow Wave: A Shifting Amalgam of Distinct Slow Wave and Spindle Coupling Subtypes Define Slow Wave Sleep Across the Human Lifespan

SLEEP ◽  
2021 ◽  
Author(s):  
Brice V McConnell ◽  
Eugene Kronberg ◽  
Peter D Teale ◽  
Stefan H Sillau ◽  
Grace M Fishback ◽  
...  
Keyword(s):  
Slow Wave ◽  
Neurological Disease ◽  
Mixed Model ◽  
Slow Wave Sleep ◽  
Sleep Stage ◽  
Slow Waves ◽  
Cross Sectional ◽  
Relative Contribution ◽  
Human Lifespan ◽  
Development And Aging

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.

scholarly journals Slow Wave Sleep and EEG Delta Spectral Power are Associated with Cognitive Function in Parkinson’s Disease

2020 ◽  
pp. 1-12
Author(s):  
Kimberly H. Wood ◽  
Adeel A. Memon ◽  
Raima A. Memon ◽  
Allen Joop ◽  
Jennifer Pilkington ◽  
...  
Keyword(s):  
Executive Function ◽  
Cognitive Function ◽  
Cognitive Performance ◽  
Slow Wave ◽  
Effect Size ◽  
Processing Speed ◽  
Slow Wave Sleep ◽  
Spectral Power ◽  
Z Scores ◽  
Domain Scores

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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