1
|
Mao T, Chai Y, Guo B, Quan P, Rao H. Sleep Architecture and Sleep EEG Alterations are Associated with Impaired Cognition Under Sleep Restriction. Nat Sci Sleep 2023; 15:823-838. [PMID: 37850195 PMCID: PMC10578164 DOI: 10.2147/nss.s420650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/06/2023] [Indexed: 10/19/2023] Open
Abstract
Purpose Many studies have investigated the cognitive, emotional, and other impairments caused by sleep restriction. However, few studies have explored the relationship between cognitive performance and changes in sleep structure and electroencephalography (EEG) during sleep. The present study aimed to examine whether changes in sleep structure and EEG can account for cognitive impairment caused by sleep restriction. Patients and Methods Sixteen young adults spent five consecutive nights (adaptation 9h, baseline 8h, 1st restriction 6h, 2nd restriction 6h, and recovery 10h) in a sleep laboratory, with polysomnography recordings taken during sleep. Throughout waking periods in each condition, participants completed the psychomotor vigilance test (PVT), which measures vigilant attention, and the Go/No-Go task, which measures inhibition control. Results The results showed that sleep restriction significantly decreased the proportion of N1 and N2 sleep, increased the proportion of N3 sleep, and reduced the time spent awake after sleep onset (WASO) and sleep onset latency. Poorer performance on the PVT and Go/No Go task was associated with longer WASO, a larger proportion of N3 sleep, and a smaller proportion of N2 sleep. Additionally, the power spectral density of delta waves significantly increased after sleep restriction, and this increase predicted a decrease in vigilance and inhibition control the next day. Conclusion These findings suggest that sleep architecture and EEG signatures may partially explain cognitive impairment caused by sleep restriction.
Collapse
Affiliation(s)
- Tianxin Mao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- School of Psychology, South China Normal University, Guangzhou, People’s Republic of China
| | - Ya Chai
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Bowen Guo
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
| | - Peng Quan
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Research Center for Quality of Life and Applied Psychology, Guangdong Medical University, Dongguan, People’s Republic of China
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
2
|
Bódizs R, Szalárdy O, Horváth C, Ujma PP, Gombos F, Simor P, Pótári A, Zeising M, Steiger A, Dresler M. A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum. Sci Rep 2021; 11:2041. [PMID: 33479280 PMCID: PMC7820008 DOI: 10.1038/s41598-021-81230-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/28/2020] [Indexed: 01/09/2023] Open
Abstract
Features of sleep were shown to reflect aging, typical sex differences and cognitive abilities of humans. However, these measures are characterized by redundancy and arbitrariness. Our present approach relies on the assumptions that the spontaneous human brain activity as reflected by the scalp-derived electroencephalogram (EEG) during non-rapid eye movement (NREM) sleep is characterized by arrhythmic, scale-free properties and is based on the power law scaling of the Fourier spectra with the additional consideration of the rhythmic, oscillatory waves at specific frequencies, including sleep spindles. Measures derived are the spectral intercept and slope, as well as the maximal spectral peak amplitude and frequency in the sleep spindle range, effectively reducing 191 spectral measures to 4, which were efficient in characterizing known age-effects, sex-differences and cognitive correlates of sleep EEG. Future clinical and basic studies are supposed to be significantly empowered by the efficient data reduction provided by our approach.
Collapse
Affiliation(s)
- Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary. .,Epilepsy Center, National Institute of Clinical Neurosciences, Budapest, Hungary.
| | - Orsolya Szalárdy
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Csenge Horváth
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | - Péter P Ujma
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Epilepsy Center, National Institute of Clinical Neurosciences, Budapest, Hungary
| | - Ferenc Gombos
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary.,MTA-PPKE Adolescent Development Research Group, Budapest, Hungary
| | - Péter Simor
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary.,Institute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary.,UR2NF, Neuropsychology and Functional Neuroimaging Research Unit At CRCN - Center for Research in Cognition and Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Adrián Pótári
- MTA-PPKE Adolescent Development Research Group, Budapest, Hungary.,Doctoral School of Psychology (Cognitive Science), Budapest University of Technology and Economics, Budapest, Hungary
| | - Marcel Zeising
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany.,Centre of Mental Health, Klinikum Ingolstadt, Ingolstadt, Germany
| | - Axel Steiger
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, Munich, Germany
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
3
|
Tabassum S, Misrani A, Tabassum S, Ahmed A, Yang L, Long C. Disrupted prefrontal neuronal oscillations and morphology induced by sleep deprivation in young APP/PS1 transgenic AD mice. Brain Res Bull 2020; 166:12-20. [PMID: 33186630 DOI: 10.1016/j.brainresbull.2020.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 10/31/2020] [Accepted: 11/06/2020] [Indexed: 12/20/2022]
Abstract
Emerging evidence suggests that sleep deprivation (SD) is a public health epidemic and increase the risk of Alzheimer's disease (AD) progression. However, the underlying mechanisms remain to be fully investigated. In this study, we investigate the impact of 72 h SD on the prefrontal cortex (PFC) of 3∼4-months-old APP/PS1 transgenic AD mice - at an age before the onset of plaque formation and memory decline. Our results reveal that SD alters delta, theta and high-gamma oscillations in the PFC, accompanied by increased levels of excitatory postsynaptic signaling (NMDAR, GluR1, and CaMKII) in AD mice. SD also caused alteration in the dendritic length and dendritic branches of PFC pyramidal neurons, accompanied by a reduction in neuroprotective agent CREB. This study suggests that failure to acquire adequate sleep could trigger an early electrophysiological, molecular, and morphological alteration in the PFC of AD mice. Therapeutic interventions that manipulate sleep by targeting these pathways may be a promising approach toward delaying the progression of this incurable disease.
Collapse
Affiliation(s)
- Sidra Tabassum
- School of Life Sciences, South China Normal University, Guangzhou 510631, PR China; School of Life Sciences, Guangzhou University, Guangzhou 510006, PR China
| | - Afzal Misrani
- School of Life Sciences, South China Normal University, Guangzhou 510631, PR China; School of Life Sciences, Guangzhou University, Guangzhou 510006, PR China
| | - Sumaiya Tabassum
- School of Life Sciences, South China Normal University, Guangzhou 510631, PR China
| | - Adeel Ahmed
- School of Life Sciences, South China Normal University, Guangzhou 510631, PR China
| | - Li Yang
- School of Life Sciences, Guangzhou University, Guangzhou 510006, PR China.
| | - Cheng Long
- School of Life Sciences, South China Normal University, Guangzhou 510631, PR China; South China Normal University-Panyu Central Hospital Joint Laboratory of Translational Medical Research, Panyu Central Hospital, Guangzhou 511400, PR China.
| |
Collapse
|
4
|
Hablitz LM, Plá V, Giannetto M, Vinitsky HS, Stæger FF, Metcalfe T, Nguyen R, Benrais A, Nedergaard M. Circadian control of brain glymphatic and lymphatic fluid flow. Nat Commun 2020; 11:4411. [PMID: 32879313 PMCID: PMC7468152 DOI: 10.1038/s41467-020-18115-2] [Citation(s) in RCA: 300] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Accepted: 07/24/2020] [Indexed: 12/20/2022] Open
Abstract
The glymphatic system is a network of perivascular spaces that promotes movement of cerebrospinal fluid (CSF) into the brain and clearance of metabolic waste. This fluid transport system is supported by the water channel aquaporin-4 (AQP4) localized to vascular endfeet of astrocytes. The glymphatic system is more effective during sleep, but whether sleep timing promotes glymphatic function remains unknown. We here show glymphatic influx and clearance exhibit endogenous, circadian rhythms peaking during the mid-rest phase of mice. Drainage of CSF from the cisterna magna to the lymph nodes exhibits daily variation opposite to glymphatic influx, suggesting distribution of CSF throughout the animal depends on time-of-day. The perivascular polarization of AQP4 is highest during the rest phase and loss of AQP4 eliminates the day-night difference in both glymphatic influx and drainage to the lymph nodes. We conclude that CSF distribution is under circadian control and that AQP4 supports this rhythm.
Collapse
Affiliation(s)
- Lauren M Hablitz
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA.
| | - Virginia Plá
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Michael Giannetto
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Hanna S Vinitsky
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Frederik Filip Stæger
- Center for Basic and Translational Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Tanner Metcalfe
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Rebecca Nguyen
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Abdellatif Benrais
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, 14642, USA.
- Center for Basic and Translational Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
| |
Collapse
|
5
|
Laghi F, Shaikh H. Clarifying the Effect of Sleep Deprivation on the Respiratory Muscles. Am J Respir Crit Care Med 2020; 201:894-895. [PMID: 31951467 PMCID: PMC7159421 DOI: 10.1164/rccm.201912-2493ed] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Franco Laghi
- Division of Pulmonary and Critical Care MedicineHines Veterans Affairs HospitalHines, Illinoisand.,Division of Pulmonary and Critical Care MedicineLoyola UniversityMaywood, Illinois
| | - Hameeda Shaikh
- Division of Pulmonary and Critical Care MedicineHines Veterans Affairs HospitalHines, Illinoisand.,Division of Pulmonary and Critical Care MedicineLoyola UniversityMaywood, Illinois
| |
Collapse
|
6
|
Sterpenich V, Perogamvros L, Tononi G, Schwartz S. Fear in dreams and in wakefulness: Evidence for day/night affective homeostasis. Hum Brain Mapp 2019; 41:840-850. [PMID: 31663236 PMCID: PMC7267911 DOI: 10.1002/hbm.24843] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 10/04/2019] [Accepted: 10/15/2019] [Indexed: 12/14/2022] Open
Abstract
Recent neuroscientific theories have proposed that emotions experienced in dreams contribute to the resolution of emotional distress and preparation for future affective reactions. We addressed one emerging prediction, namely that experiencing fear in dreams is associated with more adapted responses to threatening signals during wakefulness. Using a stepwise approach across two studies, we identified brain regions activated when experiencing fear in dreams and showed that frightening dreams modulated the response of these same regions to threatening stimuli during wakefulness. Specifically, in Study 1, we performed serial awakenings in 18 participants recorded throughout the night with high‐density electroencephalography (EEG) and asked them whether they experienced any fear in their dreams. Insula and midcingulate cortex activity increased for dreams containing fear. In Study 2, we tested 89 participants and found that those reporting higher incidence of fear in their dreams showed reduced emotional arousal and fMRI response to fear‐eliciting stimuli in the insula, amygdala and midcingulate cortex, while awake. Consistent with better emotion regulation processes, the same participants displayed increased medial prefrontal cortex activity. These findings support that emotions in dreams and wakefulness engage similar neural substrates, and substantiate a link between emotional processes occurring during sleep and emotional brain functions during wakefulness.
Collapse
Affiliation(s)
- Virginie Sterpenich
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
| | - Lampros Perogamvros
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.,Center for Sleep Medicine, Division of Pulmonology, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.,Wisconsin Institute for Sleep and Consciousness, Department of Psychiatry, University of Wisconsin - Madison, Madison, Wisconsin
| | - Giulio Tononi
- Wisconsin Institute for Sleep and Consciousness, Department of Psychiatry, University of Wisconsin - Madison, Madison, Wisconsin
| | - Sophie Schwartz
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
| |
Collapse
|
7
|
Achermann P, Rusterholz T, Stucky B, Olbrich E. Oscillatory patterns in the electroencephalogram at sleep onset. Sleep 2019; 42:5512509. [PMID: 31173152 DOI: 10.1093/sleep/zsz096] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 02/17/2019] [Indexed: 11/13/2022] Open
Abstract
Falling asleep is a gradually unfolding process. We investigated the role of various oscillatory activities including sleep spindles and alpha and delta oscillations at sleep onset (SO) by automatically detecting oscillatory events. We used two datasets of healthy young males, eight with four baseline recordings, and eight with a baseline and recovery sleep after 40 h of sustained wakefulness. We analyzed the 2-min interval before SO (stage 2) and the five consecutive 2-min intervals after SO. The incidence of delta/theta events reached its maximum in the first 2-min episode after SO, while the frequency of them was continuously decreasing from stage 1 onwards, continuing over SO and further into deeper sleep. Interestingly, this decrease of the frequencies of the oscillations were not affected by increased sleep pressure, in contrast to the incidence which increased. We observed an increasing number of alpha events after SO, predominantly frontally, with their prevalence varying strongly across individuals. Sleep spindles started to occur after SO, with first an increasing then a decreasing incidence and a continuous decrease in their frequency. Again, the frequency of the spindles was not altered after sleep deprivation. Oscillatory events revealed derivation dependent aspects. However, these regional aspects were not specific of the process of SO but rather reflect a general sleep related phenomenon. No individual traits of SO features (incidence and frequency of oscillations) and their dynamics were observed. Delta/theta events are important features for the analysis of SO in addition to slow waves.
Collapse
Affiliation(s)
- Peter Achermann
- Chronobiology and Sleep Research, Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.,The KEY Institute for Brain-Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.,Sleep and Health Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Rusterholz
- Chronobiology and Sleep Research, Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Benjamin Stucky
- Chronobiology and Sleep Research, Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Eckehard Olbrich
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
| |
Collapse
|
8
|
Dres M, Younes M, Rittayamai N, Kendzerska T, Telias I, Grieco DL, Pham T, Junhasavasdikul D, Chau E, Mehta S, Wilcox ME, Leung R, Drouot X, Brochard L. Sleep and Pathological Wakefulness at the Time of Liberation from Mechanical Ventilation (SLEEWE). A Prospective Multicenter Physiological Study. Am J Respir Crit Care Med 2019; 199:1106-1115. [DOI: 10.1164/rccm.201811-2119oc] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Martin Dres
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Service de Pneumologie, Médecine Intensive—Réanimation, Département R3S AP-HP, Groupe Hospitalier Pitié–Salpétrière Charles Foix, Paris, France
| | - Magdy Younes
- YRT Ltd., Winnipeg, Manitoba, Canada
- Sleep Disorders Centre, Winnipeg, Manitoba, Canada
| | - Nuttapol Rittayamai
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Respiratory Diseases and Tuberculosis, Department of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tetyana Kendzerska
- Division of Respirology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Irene Telias
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Domenico Luca Grieco
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tai Pham
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Detajin Junhasavasdikul
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Edmond Chau
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sangeeta Mehta
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Intensive Care Unit, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - M. Elizabeth Wilcox
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Critical Care, Department of Medicine, Toronto Western Hospital, Toronto, Ontario, Canada; and
| | - Richard Leung
- Division of Respirology, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Xavier Drouot
- Neurophysiologie Clinique et Explorations Fonctionnelles, CHU de Poitiers, Poitiers, France
| | - Laurent Brochard
- Keenan Research Centre, Li Ka Shing Knowledge Institute, and
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
9
|
Gorgoni M, Bartolacci C, D’Atri A, Scarpelli S, Marzano C, Moroni F, Ferrara M, De Gennaro L. The Spatiotemporal Pattern of the Human Electroencephalogram at Sleep Onset After a Period of Prolonged Wakefulness. Front Neurosci 2019; 13:312. [PMID: 31001079 PMCID: PMC6456684 DOI: 10.3389/fnins.2019.00312] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 03/19/2019] [Indexed: 02/05/2023] Open
Abstract
During the sleep onset (SO) process, the human electroencephalogram (EEG) is characterized by an orchestrated pattern of spatiotemporal changes. Sleep deprivation (SD) strongly affects both wake and sleep EEG, but a description of the topographical EEG power spectra and oscillatory activity during the wake-sleep transition after a period of prolonged wakefulness is still missing. The increased homeostatic sleep pressure should induce an earlier onset of sleep-related EEG oscillations. The aim of the present study was to assess the spatiotemporal EEG pattern at SO following SD. A dataset of a previous study was analyzed. We assessed the spatiotemporal EEG changes (19 cortical derivations) during the SO (5 min before vs. 5 min after the first epoch of Stage 2) of a recovery night after 40 h of SD in 39 healthy subjects, analyzing the EEG power spectra (fast Fourier transform) and the oscillatory activity [better oscillation (BOSC) detection method]. The spatiotemporal pattern of the EEG power spectra mostly confirmed the changes previously observed during the wake-sleep transition at baseline. The comparison between baseline and recovery showed a wide increase of the post- vs. pre-SO ratio during the recovery night in the frequency bins ≤10 Hz. We found a predominant alpha oscillatory rhythm in the pre-SO period, while after SO the theta oscillatory activity was prevalent. The oscillatory peaks showed a generalized increase in all frequency bands from delta to sigma with different predominance, while beta activity increased only in the fronto-central midline derivations. Overall, the analysis of the EEG power replicated the topographical pattern observed during a baseline night of sleep but with a stronger intensity of the SO-induced changes in the frequencies ≤10 Hz, and the detection of the rhythmic activity showed the rise of several oscillations at SO after SD that was not observed during the wake-sleep transition at baseline (e.g., alpha and frontal theta in correspondence of their frequency peaks). Beyond confirming the local nature of the EEG pattern at SO, our results show that SD has an impact on the spatiotemporal modulation of cortical activity during the falling-asleep process, inducing the earlier emergence of sleep-related EEG oscillations.
Collapse
Affiliation(s)
- Maurizio Gorgoni
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | | | - Aurora D’Atri
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Serena Scarpelli
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Cristina Marzano
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Fabio Moroni
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Michele Ferrara
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, Rome, Italy
- IRCCS Santa Lucia Foundation, Rome, Italy
| |
Collapse
|
10
|
Hablitz LM, Vinitsky HS, Sun Q, Stæger FF, Sigurdsson B, Mortensen KN, Lilius TO, Nedergaard M. Increased glymphatic influx is correlated with high EEG delta power and low heart rate in mice under anesthesia. SCIENCE ADVANCES 2019; 5:eaav5447. [PMID: 30820460 PMCID: PMC6392807 DOI: 10.1126/sciadv.aav5447] [Citation(s) in RCA: 276] [Impact Index Per Article: 55.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 01/14/2019] [Indexed: 05/15/2023]
Abstract
The glymphatic system is responsible for brain-wide delivery of nutrients and clearance of waste via influx of cerebrospinal fluid (CSF) alongside perivascular spaces and through the brain. Glymphatic system activity increases during sleep or ketamine/xylazine (K/X) anesthesia, yet the mechanism(s) facilitating CSF influx are poorly understood. Here, we correlated influx of a CSF tracer into the brain with electroencephalogram (EEG) power, heart rate, blood pressure, and respiratory rate in wild-type mice under six different anesthesia regimens. We found that glymphatic CSF tracer influx was highest under K/X followed by isoflurane (ISO) supplemented with dexmedetomidine and pentobarbital. Mice anesthetized with α-chloralose, Avertin, or ISO exhibited low CSF tracer influx. This is the first study to show that glymphatic influx correlates positively with cortical delta power in EEG recordings and negatively with beta power and heart rate.
Collapse
Affiliation(s)
- Lauren M. Hablitz
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Hanna S. Vinitsky
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Qian Sun
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Frederik Filip Stæger
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Björn Sigurdsson
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kristian N. Mortensen
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Tuomas O. Lilius
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY 14642, USA
- Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Corresponding author.
| |
Collapse
|
11
|
Electroclinical Features of Generalized Paroxysmal Fast Activity in Typical Absence Seizures. J Clin Neurophysiol 2019; 36:36-44. [DOI: 10.1097/wnp.0000000000000535] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|
12
|
Fernandez Guerrero A, Achermann P. Intracortical Causal Information Flow of Oscillatory Activity (Effective Connectivity) at the Sleep Onset Transition. Front Neurosci 2018; 12:912. [PMID: 30564093 PMCID: PMC6288604 DOI: 10.3389/fnins.2018.00912] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 11/20/2018] [Indexed: 12/03/2022] Open
Abstract
We investigated the sleep onset transition in humans from an effective connectivity perspective in a baseline condition (approx. 16 h of wakefulness) and after sleep deprivation (40 h of sustained wakefulness). Using EEG recordings (27 derivations), source localization (LORETA) allowed us to reconstruct the underlying patterns of neuronal activity in various brain regions, e.g., the default mode network (DMN), dorsolateral prefrontal cortex and hippocampus, which were defined as regions of interest (ROI). We applied isolated effective coherence (iCOH) to assess effective connectivity patterns at the sleep onset transition [2 min prior to and 10 min after sleep onset (first occurrence of stage 2)]. ICOH reveals directionality aspects and resolves the spectral characteristics of information flow in a given network of ROIs. We observed an anterior-posterior decoupling of the DMN, and moreover, a prominent role of the posterior cingulate cortex guiding the process of the sleep onset transition, particularly, by transmitting information in the low frequency range (delta and theta bands) to other nodes of DMN (including the hippocampus). In addition, the midcingulate cortex appeared as a major cortical relay station for spindle synchronization (originating from the thalamus; sigma activity). The inclusion of hippocampus indicated that this region might be functionally involved in sigma synchronization observed in the cortex after sleep onset. Furthermore, under conditions of increased homeostatic pressure, we hypothesize that an anterior-posterior decoupling of the DMN occurred at a faster rate compared to baseline overall indicating weakened connectivity strength within the DMN. Finally, we also demonstrated that cortico-cortical spindle synchronization was less effective after sleep deprivation than in baseline, thus, reflecting the reduction of spindles under increased sleep pressure.
Collapse
Affiliation(s)
- Antonio Fernandez Guerrero
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Peter Achermann
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- The KEY Institute for Brain-Mind Research, Department of Psychiatry, Psychotherapy and Sychosomatics, University Hospital of Psychiatry, Zurich, Switzerland
- Zurich Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
| |
Collapse
|
13
|
Olbrich E, Rusterholz T, LeBourgeois MK, Achermann P. Developmental Changes in Sleep Oscillations during Early Childhood. Neural Plast 2017; 2017:6160959. [PMID: 28845310 PMCID: PMC5563422 DOI: 10.1155/2017/6160959] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 06/14/2017] [Indexed: 12/02/2022] Open
Abstract
Although quantitative analysis of the sleep electroencephalogram (EEG) has uncovered important aspects of brain activity during sleep in adolescents and adults, similar findings from preschool-age children remain scarce. This study utilized our time-frequency method to examine sleep oscillations as characteristic features of human sleep EEG. Data were collected from a longitudinal sample of young children (n = 8; 3 males) at ages 2, 3, and 5 years. Following sleep stage scoring, we detected and characterized oscillatory events across age and examined how their features corresponded to spectral changes in the sleep EEG. Results indicated a developmental decrease in the incidence of delta and theta oscillations. Spindle oscillations, however, were almost absent at 2 years but pronounced at 5 years. All oscillatory event changes were stronger during light sleep than slow-wave sleep. Large interindividual differences in sleep oscillations and their characteristics (e.g., "ultrafast" spindle-like oscillations, theta oscillation incidence/frequency) also existed. Changes in delta and spindle oscillations across early childhood may indicate early maturation of the thalamocortical system. Our analytic approach holds promise for revealing novel types of sleep oscillatory events that are specific to periods of rapid normal development across the lifespan and during other times of aberrant changes in neurobehavioral function.
Collapse
Affiliation(s)
- Eckehard Olbrich
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
| | - Thomas Rusterholz
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Monique K. LeBourgeois
- Sleep and Development Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Achermann
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- The KEY Institute for Brain-Mind Research, Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland
- Zurich Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland
| |
Collapse
|
14
|
Alonso JF, Romero S, Mañanas MA, Alcalá M, Antonijoan RM, Giménez S. Acute Sleep Deprivation Induces a Local Brain Transfer Information Increase in the Frontal Cortex in a Widespread Decrease Context. SENSORS (BASEL, SWITZERLAND) 2016; 16:E540. [PMID: 27089346 PMCID: PMC4851054 DOI: 10.3390/s16040540] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 04/05/2016] [Accepted: 04/12/2016] [Indexed: 01/24/2023]
Abstract
Sleep deprivation (SD) has adverse effects on mental and physical health, affecting the cognitive abilities and emotional states. Specifically, cognitive functions and alertness are known to decrease after SD. The aim of this work was to identify the directional information transfer after SD on scalp EEG signals using transfer entropy (TE). Using a robust methodology based on EEG recordings of 18 volunteers deprived from sleep for 36 h, TE and spectral analysis were performed to characterize EEG data acquired every 2 h. Correlation between connectivity measures and subjective somnolence was assessed. In general, TE showed medium- and long-range significant decreases originated at the occipital areas and directed towards different regions, which could be interpreted as the transfer of predictive information from parieto-occipital activity to the rest of the head. Simultaneously, short-range increases were obtained for the frontal areas, following a consistent and robust time course with significant maps after 20 h of sleep deprivation. Changes during sleep deprivation in brain network were measured effectively by TE, which showed increased local connectivity and diminished global integration. TE is an objective measure that could be used as a potential measure of sleep pressure and somnolence with the additional property of directed relationships.
Collapse
Affiliation(s)
- Joan F Alonso
- Biomedical Engineering Research Centre, Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona 08028, Spain.
- Barcelona College of Industrial Engineering, Universitat Politècnica de Catalunya, Barcelona 08037, Spain.
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza 50018, Spain.
| | - Sergio Romero
- Biomedical Engineering Research Centre, Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona 08028, Spain.
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza 50018, Spain.
| | - Miguel A Mañanas
- Biomedical Engineering Research Centre, Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona 08028, Spain.
- Barcelona College of Industrial Engineering, Universitat Politècnica de Catalunya, Barcelona 08037, Spain.
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza 50018, Spain.
| | - Marta Alcalá
- Biomedical Engineering Research Centre, Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona 08028, Spain.
- Barcelona College of Industrial Engineering, Universitat Politècnica de Catalunya, Barcelona 08037, Spain.
| | - Rosa M Antonijoan
- Drug Research Centre, Hospital de la Santa Creu i Sant Pau, Barcelona 08026, Spain.
- Department of Pharmacology and Therapeutics, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
- CIBER de Salud Mental (CIBERSAM), Madrid 28029, Spain.
| | - Sandra Giménez
- Drug Research Centre, Hospital de la Santa Creu i Sant Pau, Barcelona 08026, Spain.
- Department of Pharmacology and Therapeutics, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
- CIBER de Salud Mental (CIBERSAM), Madrid 28029, Spain.
- Sleep Unit, Respiratory Department, Hospital de la Santa Creu i Sant Pau, Barcelona 08028, Spain.
| |
Collapse
|
15
|
Gao L, Bai L, Zhang Y, Dai XJ, Netra R, Min Y, Zhou F, Niu C, Dun W, Gong H, Zhang M. Frequency-dependent changes of local resting oscillations in sleep-deprived brain. PLoS One 2015; 10:e0120323. [PMID: 25798918 PMCID: PMC4370559 DOI: 10.1371/journal.pone.0120323] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Accepted: 02/05/2015] [Indexed: 11/18/2022] Open
Abstract
Sleep deprivation (SD) adversely affects brain function and is accompanied by frequency dependent changes in EEG. Recent studies have suggested that BOLD fluctuations pertain to a spatiotemporal organization with different frequencies. The present study aimed to investigate the frequency-dependent SD-related brain oscillatory activity by using the amplitude of low-frequency fluctuation (ALFF) analysis. The ALFF changes were measured across different frequencies (Slow-4: 0.027–0.073 Hz; Slow-5: 0.01–0.027 Hz; and Typical band: 0.01–0.08 Hz) in 24 h SD as compared to rested wakeful during resting-state fMRI. Sixteen volunteers underwent two fMRI sessions, once during rested wakefulness and once after 24 h of SD. SD showed prominently decreased ALFF in the right inferior parietal lobule (IPL), bilateral orbitofrontal cortex (OFC) and dorsolateral prefrontal cortex (DLPFC), while increased ALFF in the visual cortex, left sensorimotor cortex and fusiform gyrus. Across the Slow-4 and Slow-5, results differed significantly in the OFC, DLPFC, thalamus and caudate in comparison to typical frequency band; and Slow-4 showed greater differences. In addition, negative correlations of behavior performance and ALFF patterns were found mainly in the right IPL across the typical frequency band. These observations provided novel insights about the physiological responses of SD, identified how it disturbs the brain rhythms, and linked SD with frequency-dependent alterations in amplitude patterns.
Collapse
Affiliation(s)
- Lei Gao
- Department of Medical Imaging, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Yuchen Zhang
- Zonglian Experimental Class, Xi’an Jiaotong University, Xi’an, China
| | - Xi-jian Dai
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Rana Netra
- Department of Medical Imaging, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Youjiang Min
- Acupuncture & Rehabilitation Department, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi Province, China
| | - Fuqing Zhou
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Chen Niu
- Department of Medical Imaging, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wanghuan Dun
- Department of Medical Imaging, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Honghan Gong
- Department of Radiology, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- * E-mail: (MZ); (HG)
| | - Ming Zhang
- Department of Medical Imaging, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- * E-mail: (MZ); (HG)
| |
Collapse
|
16
|
Caplan JB, Bottomley M, Kang P, Dixon RA. Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging. Neuroimage 2015; 112:341-352. [PMID: 25769279 DOI: 10.1016/j.neuroimage.2015.03.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 02/10/2015] [Accepted: 03/01/2015] [Indexed: 10/23/2022] Open
Abstract
Rhythmic brain activity at low frequencies (<12Hz) during rest are thought to increase in neurodegenerative disease, but findings in healthy neurocognitive aging are mixed. Here we address two reasons conventional spectral analyses may have led to inconsistent results. First, spectral-power measures are compared to a baseline condition; when resting activity is the signal of interest, it is unclear what the baseline should be. Second, conventional methods do not clearly differentiate power due to rhythmic versus non-rhythmic activity. The Better OSCillation detection method (BOSC; Caplan et al., 2001; Whitten et al., 2011) avoids these problems by using the signal's own spectral characteristics as a reference to detect elevations in power lasting a few cycles. We recorded electroencephalographic (EEG) signal during rest, alternating eyes open and closed, in healthy younger (18-25 years) and older (60-74 years) participants. Topographic plots suggested the conventional and BOSC analyses measured different sources of activity, particularly at frequencies, like delta (1-4Hz), at which rhythms are sporadic; topographies were more similar in the 8-12Hz alpha band. There was little theta-band activity meeting the BOSC method's criteria, suggesting prior findings of theta power in healthy aging may reflect non-rhythmic signal. In contrast, delta oscillations were present at higher levels than theta in both age groups. In summary, applying strict and standardized criteria for rhythmicity, slow rhythms appear present in the resting brain at delta and alpha, but not theta frequencies, and appear unchanged in healthy aging.
Collapse
Affiliation(s)
- Jeremy B Caplan
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
| | - Monica Bottomley
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Pardeep Kang
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Roger A Dixon
- Psychology Department, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| |
Collapse
|