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Lahlou S, Kaminska M, Doyon J, Carrier J, Sharp M. Sleep spindle density and temporal clustering are associated with sleep-dependent memory consolidation in Parkinson's disease. J Clin Sleep Med 2024; 20:1153-1162. [PMID: 38427318 PMCID: PMC11217638 DOI: 10.5664/jcsm.11080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
STUDY OBJECTIVES Sleep is required for successful memory consolidation. Sleep spindles, bursts of oscillatory activity occurring during non-rapid eye movement sleep, are known to be crucial for this process and, recently, it has been proposed that the temporal organization of spindles into clusters might additionally play a role in memory consolidation. In Parkinson's disease, spindle activity is reduced, and this reduction has been found to be predictive of cognitive decline. However, it remains unknown whether alterations in sleep spindles in Parkinson's disease are predictive of sleep-dependent cognitive processes such as memory consolidation, leaving open questions about the possible mechanisms linking sleep and a more general cognitive state in Parkinson's patients. METHODS The current study sought to fill this gap by recording overnight polysomnography and measuring overnight declarative memory consolidation in a sample of 35 patients with Parkinson's. Memory consolidation was measured using a verbal paired-associates task administered before and after the night of recorded sleep. RESULTS We found that lower sleep spindle density at frontal leads during non-rapid eye movement stage 3 was associated with worse overnight declarative memory consolidation. We also found that patients who showed less temporal clustering of spindles exhibited worse declarative memory consolidation. CONCLUSIONS These results suggest alterations to sleep spindles, which are known to be a consequence of Parkinson's disease, might represent a mechanism by which poor sleep leads to worse cognitive function in Parkinson's patients. CITATION Lahlou S, Kaminska M, Doyon J, Carrier J, Sharp M. Sleep spindle density and temporal clustering are associated with sleep-dependent memory consolidation in Parkinson's disease. J Clin Sleep Med. 2024;20(7):1153-1162.
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Affiliation(s)
- Soraya Lahlou
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Marta Kaminska
- Department of Medicine, McGill University, Montreal, Canada
| | - Julien Doyon
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Julie Carrier
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Madeleine Sharp
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
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2
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Orlando IF, O'Callaghan C, Lam A, McKinnon AC, Tan JBC, Michaelian JC, Kong SDX, D'Rozario AL, Naismith SL. Sleep spindle architecture associated with distinct clinical phenotypes in older adults at risk for dementia. Mol Psychiatry 2024; 29:402-411. [PMID: 38052981 PMCID: PMC11116104 DOI: 10.1038/s41380-023-02335-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023]
Abstract
Sleep spindles are a hallmark of non-REM sleep and play a fundamental role in memory consolidation. Alterations in these spindles are emerging as sensitive biomarkers for neurodegenerative diseases of ageing. Understanding the clinical presentations associated with spindle alterations may help to elucidate the functional role of these distinct electroencephalographic oscillations and the pathophysiology of sleep and neurodegenerative disorders. Here, we use a data-driven approach to examine the sleep, memory and default mode network connectivity phenotypes associated with sleep spindle architecture in older adults (mean age = 66 years). Participants were recruited from a specialist clinic for early diagnosis and intervention for cognitive decline, with a proportion showing mild cognitive deficits on neuropsychological testing. In a sample of 88 people who underwent memory assessment, overnight polysomnography and resting-state fMRI, a k-means cluster analysis was applied to spindle measures of interest: fast spindle density, spindle duration and spindle amplitude. This resulted in three clusters, characterised by preserved spindle architecture with higher fast spindle density and longer spindle duration (Cluster 1), and alterations in spindle architecture (Clusters 2 and 3). These clusters were further characterised by reduced memory (Clusters 2 and 3) and nocturnal hypoxemia, associated with sleep apnea (Cluster 3). Resting-state fMRI analysis confirmed that default mode connectivity was related to spindle architecture, although directionality of this relationship differed across the cluster groups. Together, these results confirm a diversity in spindle architecture in older adults, associated with clinically meaningful phenotypes, including memory function and sleep apnea. They suggest that resting-state default mode connectivity during the awake state can be associated with sleep spindle architecture; however, this is highly dependent on clinical phenotype. Establishing relationships between clinical and neuroimaging features and sleep spindle alterations will advance our understanding of the bidirectional relationships between sleep changes and neurodegenerative diseases of ageing.
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Affiliation(s)
- Isabella F Orlando
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Claire O'Callaghan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Aaron Lam
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Andrew C McKinnon
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Joshua B C Tan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Johannes C Michaelian
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Shawn D X Kong
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia
| | - Angela L D'Rozario
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia.
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia.
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Kumral D, Matzerath A, Leonhart R, Schönauer M. Spindle-dependent memory consolidation in healthy adults: A meta-analysis. Neuropsychologia 2023; 189:108661. [PMID: 37597610 DOI: 10.1016/j.neuropsychologia.2023.108661] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/23/2023] [Accepted: 08/12/2023] [Indexed: 08/21/2023]
Abstract
Accumulating evidence suggests a central role for sleep spindles in the consolidation of new memories. However, no meta-analysis of the association between sleep spindles and memory performance has been conducted so far. Here, we report meta-analytical evidence for spindle-memory associations and investigate how multiple factors, including memory type, spindle type, spindle characteristics, and EEG topography affect this relationship. The literature search yielded 53 studies reporting 1427 effect sizes, resulting in a small to moderate effect for the average association. We further found that spindle-memory associations were significantly stronger for procedural memory than for declarative memory. Neither spindle types nor EEG scalp topography had an impact on the strength of the spindle-memory relation, but we observed a distinct functional role of global and fast sleep spindles, especially for procedural memory. We also found a moderation effect of spindle characteristics, with power showing the largest effect sizes. Collectively, our findings suggest that sleep spindles are involved in learning, thereby representing a general physiological mechanism for memory consolidation.
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Affiliation(s)
- Deniz Kumral
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Alina Matzerath
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany
| | - Rainer Leonhart
- Institute of Psychology, Social Psychology and Methodology, University of Freiburg, Freiburg Im Breisgau, Germany
| | - Monika Schönauer
- Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg Im Breisgau, Germany; Bernstein Center Freiburg, Freiburg Im Breisgau, Germany
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4
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Gu Y, Gagnon JF, Kaminska M. Sleep electroencephalography biomarkers of cognition in obstructive sleep apnea. J Sleep Res 2023; 32:e13831. [PMID: 36941194 DOI: 10.1111/jsr.13831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 03/23/2023]
Abstract
Obstructive sleep apnea has been associated with cognitive impairment and may be linked to disorders of cognitive function. These associations may be a result of intermittent hypoxaemia, sleep fragmentation and changes in sleep microstructure in obstructive sleep apnea. Current clinical metrics of obstructive sleep apnea, such as the apnea-hypopnea index, are poor predictors of cognitive outcomes in obstructive sleep apnea. Sleep microstructure features, which can be identified on sleep electroencephalography of traditional overnight polysomnography, are increasingly being characterized in obstructive sleep apnea and may better predict cognitive outcomes. Here, we summarize the literature on several major sleep electroencephalography features (slow-wave activity, sleep spindles, K-complexes, cyclic alternating patterns, rapid eye movement sleep quantitative electroencephalography, odds ratio product) identified in obstructive sleep apnea. We will review the associations between these sleep electroencephalography features and cognition in obstructive sleep apnea, and examine how treatment of obstructive sleep apnea affects these associations. Lastly, evolving technologies in sleep electroencephalography analyses will also be discussed (e.g. high-density electroencephalography, machine learning) as potential predictors of cognitive function in obstructive sleep apnea.
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Affiliation(s)
- Yusing Gu
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jean-François Gagnon
- Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Marta Kaminska
- Respiratory Epidemiology and Clinical Research Unit, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
- Respiratory Division & Sleep Laboratory, McGill University Health Centre, Montreal, Québec, Canada
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5
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Toor B, van den Berg N, Ray LB, Fogel SM. Sleep spindles and slow waves are physiological markers for age-related changes in gray matter in brain regions supporting problem-solving skills. Learn Mem 2023; 30:12-24. [PMID: 36564151 PMCID: PMC9872192 DOI: 10.1101/lm.053649.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/29/2022] [Indexed: 12/25/2022]
Abstract
As we age, the added benefit of sleep for memory consolidation is lost. One of the hallmark age-related changes in sleep is the reduction of sleep spindles and slow waves. Gray matter neurodegeneration is related to both age-related changes in sleep and age-related changes in memory, including memory for problem-solving skills. Here, we investigated whether spindles and slow waves might serve as biological markers for neurodegeneration of gray matter and for the related memory consolidation deficits in older adults. Forty healthy young adults (20-35 yr) and 30 healthy older adults (60-85 yr) were assigned to either nap or wake conditions. Participants were trained on the Tower of Hanoi in the morning, followed by either a 90-min nap opportunity or period of wakefulness, and were retested afterward. We found that age-related changes in sleep spindles and slow waves were differentially related to gray matter intensity in young and older adults in brain regions that support sleep-dependent memory consolidation for problem-solving skills. Specifically, we found that spindles were related to gray matter in neocortical areas (e.g., somatosensory and parietal cortex), and slow waves were related to gray matter in the anterior cingulate, hippocampus, and caudate, all areas known to support problem-solving skills. These results suggest that both sleep spindles and slow waves may serve as biological markers of age-related neurodegeneration of gray matter and the associated reduced benefit of sleep for memory consolidation in older adults.
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Affiliation(s)
- Balmeet Toor
- School of Psychology, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
| | | | - Laura B Ray
- School of Psychology, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
| | - Stuart M Fogel
- School of Psychology, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
- Sleep Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
- University of Ottawa Brain and Mind Institute, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
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6
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Elder GJ, Lazar AS, Alfonso‐Miller P, Taylor J. Sleep disturbances in Lewy body dementia: A systematic review. Int J Geriatr Psychiatry 2022; 37:10.1002/gps.5814. [PMID: 36168299 PMCID: PMC9827922 DOI: 10.1002/gps.5814] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/13/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Lewy body dementia (LBD) refers to both dementia with Lewy bodies (DLB) and Parkinson's disease with dementia (PDD). Sleep disturbances are common in LBD, and can include poor sleep quality, excessive daytime sleepiness (EDS), and rapid eye movement behaviour disorder (RBD). Despite the high clinical prevalence of sleep disturbances in LBD, they are under-studied relative to other dementias. The aim of the present systematic review was to examine the nature of sleep disturbances in LBD, summarise the effect of treatment studies upon sleep, and highlight specific and necessary directions for future research. METHODS Published studies in English were located by searching PubMED and PSYCArticles databases (until 10 June 2022). The search protocol was pre-registered in PROSPERO (CRD42021293490) and performed in accordance with PRISMA guidelines. RESULTS Following full-text review, a final total of 70 articles were included. These included 20 studies focussing on subjective sleep, 14 on RBD, 8 on EDS, 7 on objective sleep, and 1 on circadian rhythms. The majority of the 18 treatment studies used pharmacological interventions (n = 12), had an open-label design (n = 8), and were of low-to-moderate quality. Most studies (n = 55) included only patients with DLB. Due to the heterogeneity of the studies, we reported a narrative synthesis without meta-analysis. CONCLUSIONS At least one form of sleep disturbance may be present in as many as 90% of people with LBD. Subjectively poor sleep quality, excessive daytime sleepiness, and RBD are more common and severe in LBD relative to other dementias.
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Affiliation(s)
- Greg J. Elder
- Northumbria Sleep ResearchDepartment of PsychologyFaculty of Health and Life SciencesNorthumbria UniversityNewcastle upon TyneUK
| | - Alpar S. Lazar
- Sleep and Brain Research UnitFaculty of Medicine and Health SciencesUniversity of East AngliaNorwichUK
| | - Pam Alfonso‐Miller
- Northumbria Sleep ResearchDepartment of PsychologyFaculty of Health and Life SciencesNorthumbria UniversityNewcastle upon TyneUK
| | - John‐Paul Taylor
- Translational and Clinical Research InstituteNewcastle UniversityCampus for Ageing and VitalityNewcastle Upon TyneUK
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7
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Memon AA, Catiul C, Irwin Z, Pilkington J, Memon RA, Joop A, Wood KH, Cutter G, Bamman M, Miocinovic S, Amara AW. Effects of exercise on sleep spindles in Parkinson's disease. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:952289. [PMID: 36188974 PMCID: PMC9397800 DOI: 10.3389/fresc.2022.952289] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
Abstract
Background In a randomized, controlled trial, we showed that high-intensity rehabilitation, combining resistance training and body-weight interval training, improves sleep efficiency in Parkinson's disease (PD). Quantitative sleep EEG (sleep qEEG) features, including sleep spindles, are altered in aging and in neurodegenerative disease. Objective The objective of this post-hoc analysis was to determine the effects of exercise, in comparison to a sleep hygiene, no-exercise control group, on the quantitative characteristics of sleep spindle morphology in PD. Methods We conducted an exploratory post-hoc analysis of 24 PD participants who were randomized to exercise (supervised 3 times/week for 16 weeks) versus 26 PD participants who were assigned to a sleep hygiene, no-exercise control group. At baseline and post-intervention, all participants completed memory testing and underwent polysomnography (PSG). PSG-derived sleep EEG central leads (C3 and C4) were manually inspected, with rejection of movement and electrical artifacts. Sleep spindle events were detected based on the following parameters: (1) frequency filter = 11–16 Hz, (2) event duration = 0.5–3 s, and (3) amplitude threshold 75% percentile. We then calculated spindle morphological features, including density and amplitude. These characteristics were computed and averaged over non-rapid eye movement (NREM) sleep stages N2 and N3 for the full night and separately for the first and second halves of the recording. Intervention effects on these features were analyzed using general linear models with group x time interaction. Significant interaction effects were evaluated for correlations with changes in performance in the memory domain. Results A significant group x time interaction effect was observed for changes in sleep spindle density due to exercise compared to sleep hygiene control during N2 and N3 during the first half of the night, with a moderate effect size. This change in spindle density was positively correlated with changes in performance on memory testing in the exercise group. Conclusions This study is the first to demonstrate that high-intensity exercise rehabilitation has a potential role in improving sleep spindle density in PD and leading to better cognitive performance in the memory domain. These findings represent a promising advance in the search for non-pharmacological treatments for this common and debilitating non-motor symptom.
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Affiliation(s)
- Adeel Ali Memon
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Corina Catiul
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Zachary Irwin
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jennifer Pilkington
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Raima A. Memon
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Allen Joop
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Kimberly H. Wood
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Psychology, Samford University, Birmingham, AL, United States
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Marcas Bamman
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Florida Institute for Human and Machine Cognition, Pensacola, FL, United States
| | | | - Amy W. Amara
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Correspondence: Amy W. Amara
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8
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Fang Z, Smith DM, Albouy G, King BR, Vien C, Benali H, Carrier J, Doyon J, Fogel S. Differential Effects of a Nap on Motor Sequence Learning-Related Functional Connectivity Between Young and Older Adults. Front Aging Neurosci 2021; 13:747358. [PMID: 34776932 PMCID: PMC8582327 DOI: 10.3389/fnagi.2021.747358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/06/2021] [Indexed: 11/13/2022] Open
Abstract
In older adults, motor sequence learning (MSL) is largely intact. However, consolidation of newly learned motor sequences is impaired compared to younger adults, and there is evidence that brain areas supporting enhanced consolidation via sleep degrade with age. It is known that brain activity in hippocampal-cortical-striatal areas is important for sleep-dependent, off-line consolidation of motor-sequences. Yet, the intricacies of how both age and sleep alter communication within this network of brain areas, which facilitate consolidation, are not known. In this study, 37 young (age 20-35) and 49 older individuals (age 55-75) underwent resting state functional magnetic resonance imaging (fMRI) before and after training on a MSL task as well as after either a nap or a period of awake rest. Young participants who napped showed strengthening of functional connectivity (FC) between motor, striatal, and hippocampal areas, compared to older subjects regardless of sleep condition. Follow-up analyses revealed this effect was driven by younger participants who showed an increase in FC between striatum and motor cortices, as well as older participants who showed decreased FC between the hippocampus, striatum, and precuneus. Therefore, different effects of sleep were observed in younger vs. older participants, where young participants primarily showed increased communication in the striatal-motor areas, while older participants showed decreases in key nodes of the default mode network and striatum. Performance gains correlated with FC changes in young adults, and this association was much greater in participants who napped compared to those who stayed awake. Performance gains also correlated with FC changes in older adults, but only in those who napped. This study reveals that, while there is no evidence of time-dependent forgetting/deterioration of performance, older adults exhibit a completely different pattern of FC changes during consolidation compared to younger adults, and lose the benefit that sleep affords to memory consolidation.
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Affiliation(s)
- Zhuo Fang
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Dylan M Smith
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Genevieve Albouy
- Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Bradley R King
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Catherine Vien
- Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Habib Benali
- Functional Neuroimaging Laboratory, INSERM, Paris, France
| | - Julie Carrier
- Department of Psychology, University of Montreal, Montreal, QC, Canada.,Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montreal, Montreal, QC, Canada
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Functional Neuroimaging Unit, Centre de Recherche Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Stuart Fogel
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, University of Ottawa Institute of Mental Health Research at The Royal, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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Yook S, Miao Y, Park C, Park HR, Kim J, Lim DC, Yeon Joo E, Kim H. Predicting brain age based on sleep EEG and DenseNet. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:245-248. [PMID: 34891282 DOI: 10.1109/embc46164.2021.9631064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
We proposed a sleep EEG-based brain age prediction model which showed higher accuracy than previous models. Six-channel EEG data were acquired for 6 hours sleep. We then converted the EEG data into 2D scalograms, which were subsequently inputted to DenseNet used to predict brain age. We then evaluated the association between brain aging acceleration and sleep disorders such as insomnia and OSA.The correlation between chronological age and expected brain age through the proposed brain age prediction model was 80% and the mean absolute error was 5.4 years. The proposed model revealed brain age increases in relation to the severity of sleep disorders.In this study, we demonstrate that the brain age estimated using the proposed model can be a biomarker that reflects changes in sleep and brain health due to various sleep disorders.Clinical Relevance-Proposed brain age index can be a single index that reflects the association of various sleep disorders and serve as a tool to diagnose individuals with sleep disorders.
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10
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Kang JM, Cho SE, Lee GB, Cho SJ, Park KH, Kim ST, Kang SG. Relationship between the Spectral Power Density of Sleep Electroencephalography and Psychiatric Symptoms in Patients with Breathing-related Sleep Disorder. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2021; 19:521-529. [PMID: 34294621 PMCID: PMC8316670 DOI: 10.9758/cpn.2021.19.3.521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/28/2020] [Accepted: 09/05/2020] [Indexed: 11/18/2022]
Abstract
Objective Patients with breathing-related sleep disorder (BRSD) often complain of psychiatric symptoms such as depression in addition to snoring, excessive sleepiness, and disturbed sleep. However, the relationship between psychiatric symptoms and severity of sleep apnea in BRSD is controversial. We conducted this study to investigate the relationship between psychiatric symptoms and sleep electroencephalography (EEG) findings in BRSD patients using spectral analysis. Methods All participants underwent polysomnography and evaluation using Symptom Checklist-90-Revised (SCL-90-R) scale. We analyzed the absolute spectral power density values of standard EEG frequency bands in the participants (n = 169) with BRSD during the non-rapid eye movement (NREM) sleep period. We performed correlation analysis between the domain scores of SCL-90-R scale and the absolute values of the EEG frequency bands. Results Significant positive correlation was observed between the absolute spectral power density values in the slow oscillation band and the degree of paranoid ideation (r = 0.226, p = 0.028) and depression (r = 0.216, p = 0.044) in SCL-90-R. The multiple linear regression model showed that higher paranoid ideation domain score (B = 0.007, p = 0.020), younger age (B = −0.011, p < 0.001), and female sex (B = 0.213, p = 0.004) were associated with higher slow oscillation power during NREM sleep. Conclusion The results of the present study suggested a relationship between sleep EEG and psychiatric symptoms in patients with BRSD. This relationship needs to be validated with further studies.
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Affiliation(s)
- Jae Myeong Kang
- Department of Psychiatry, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seo-Eun Cho
- Department of Psychiatry, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Gun Bae Lee
- Gachon Sleep Medicine Center, Gachon University Gil Medical Center, Incheon, Korea
| | - Seong-Jin Cho
- Department of Psychiatry, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kee Hyung Park
- Department of Neurology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seon Tae Kim
- Department of Otolaryngology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seung-Gul Kang
- Department of Psychiatry, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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11
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Feng S, Huang H, Wang N, Wei Y, Liu Y, Qin D. Sleep Disorders in Children With Autism Spectrum Disorder: Insights From Animal Models, Especially Non-human Primate Model. Front Behav Neurosci 2021; 15:673372. [PMID: 34093147 PMCID: PMC8173056 DOI: 10.3389/fnbeh.2021.673372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 04/16/2021] [Indexed: 02/05/2023] Open
Abstract
Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental disorder with deficient social skills, communication deficits and repetitive behaviors. The prevalence of ASD has increased among children in recent years. Children with ASD experience more sleep problems, and sleep appears to be essential for the survival and integrity of most living organisms, especially for typical synaptic development and brain plasticity. Many methods have been used to assess sleep problems over past decades such as sleep diaries and parent-reported questionnaires, electroencephalography, actigraphy and videosomnography. A substantial number of rodent and non-human primate models of ASD have been generated. Many of these animal models exhibited sleep disorders at an early age. The aim of this review is to examine and discuss sleep disorders in children with ASD. Toward this aim, we evaluated the prevalence, clinical characteristics, phenotypic analyses, and pathophysiological brain mechanisms of ASD. We highlight the current state of animal models for ASD and explore their implications and prospects for investigating sleep disorders associated with ASD.
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Affiliation(s)
- Shufei Feng
- Department of Pediatric Rehabilitation Medicine, Kunming Children’s Hospital, Kunming, China
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Haoyu Huang
- Department of Pediatric Rehabilitation Medicine, Kunming Children’s Hospital, Kunming, China
| | - Na Wang
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Yuanyuan Wei
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
| | - Yun Liu
- Department of Pediatric Rehabilitation Medicine, Kunming Children’s Hospital, Kunming, China
| | - Dongdong Qin
- Department of Pediatric Rehabilitation Medicine, Kunming Children’s Hospital, Kunming, China
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
- School of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China
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12
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Li IC, Lin TW, Lee TY, Lo Y, Jiang YM, Kuo YH, Chen CC, Chang FC. Oral Administration of Armillaria mellea Mycelia Promotes Non-Rapid Eye Movement and Rapid Eye Movement Sleep in Rats. J Fungi (Basel) 2021; 7:jof7050371. [PMID: 34068650 PMCID: PMC8151341 DOI: 10.3390/jof7050371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/04/2021] [Accepted: 05/05/2021] [Indexed: 12/02/2022] Open
Abstract
The present study aimed to explore whether water and ethanol extracts of Armillaria mellea mycelia produce sedative and hypnotic effects in rats. Male Sprague–Dawley rats were surgically implanted with two electroencephalogram electrodes on the skull and an electromyogram electrode on neck muscle to evaluate the alterations in rapid eye movement (REM) and non-REM (NREM) sleep after oral administration of the water and ethanol extracts. Following post-surgical recovery, thirty-six rats were randomly divided into four treatment groups and two control groups. They were treated orally with vehicle, 75 and 150 mg/kg doses of water and ethanolic extracts 15 min prior to the onset of dark (active) period. Electroencephalography results showed that the low dose of A. mellea mycelia water extract increased REM sleep time while the high dose enhanced both REM and NREM sleep times during the subsequent light (rest) period. On the other hand, although the low dose of A. mellea mycelia ethanolic extract did not alter both NREM sleep and REM sleep during the dark and light periods, the high dose increased both REM and NREM sleep during the light periods in naive rats. The HPLC-DAD analyses of both extracts allowed the identification of GABA and seven sesquiterpenoids. Based on these findings, the present study showed for the first time that water and ethanolic extracts of A. mellea mycelia, containing a source of biologically active compounds, could increase both NREM sleep and REM sleep during the rest period and may be useful for the treatment of insomnia.
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Affiliation(s)
- I-Chen Li
- Biotech Research Institute, Grape King Bio Ltd., Taoyuan 320, Taiwan; (I.-C.L.); (T.-W.L.); (Y.-M.J.); (Y.-H.K.)
| | - Ting-Wei Lin
- Biotech Research Institute, Grape King Bio Ltd., Taoyuan 320, Taiwan; (I.-C.L.); (T.-W.L.); (Y.-M.J.); (Y.-H.K.)
| | - Tung-Yen Lee
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei 106, Taiwan; (T.-Y.L.); (Y.L.)
| | - Yun Lo
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei 106, Taiwan; (T.-Y.L.); (Y.L.)
| | - Yih-Min Jiang
- Biotech Research Institute, Grape King Bio Ltd., Taoyuan 320, Taiwan; (I.-C.L.); (T.-W.L.); (Y.-M.J.); (Y.-H.K.)
| | - Yu-Hsuan Kuo
- Biotech Research Institute, Grape King Bio Ltd., Taoyuan 320, Taiwan; (I.-C.L.); (T.-W.L.); (Y.-M.J.); (Y.-H.K.)
| | - Chin-Chu Chen
- Biotech Research Institute, Grape King Bio Ltd., Taoyuan 320, Taiwan; (I.-C.L.); (T.-W.L.); (Y.-M.J.); (Y.-H.K.)
- Institute of Food Science and Technology, National Taiwan University, Taipei 106, Taiwan
- Department of Bioscience Technology, Chung Yuan Christian University, Taoyuan 320, Taiwan
- Department of Food Science, Nutrition and Nutraceutical Biotechnology, Shih Chien University, Taipei 104, Taiwan
- Correspondence: (C.-C.C.); (F.-C.C.)
| | - Fang-Chia Chang
- Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei 106, Taiwan; (T.-Y.L.); (Y.L.)
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 106, Taiwan
- Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung 404, Taiwan
- Correspondence: (C.-C.C.); (F.-C.C.)
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13
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Schneider J, Lewis PA, Koester D, Born J, Ngo HVV. Susceptibility to auditory closed-loop stimulation of sleep slow oscillations changes with age. Sleep 2021; 43:5850478. [PMID: 32562487 PMCID: PMC7734479 DOI: 10.1093/sleep/zsaa111] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 05/10/2020] [Indexed: 11/20/2022] Open
Abstract
Study Objectives Cortical slow oscillations (SOs) and thalamocortical sleep spindles hallmark slow wave sleep and facilitate memory consolidation, both of which are reduced with age. Experiments utilizing auditory closed-loop stimulation to enhance these oscillations showed great potential in young and older subjects. However, the magnitude of responses has yet to be compared between these age groups. We examined the possibility of enhancing SOs and performance on different memory tasks in a healthy middle-aged population using this stimulation and contrast effects to younger adults. Methods In a within-subject design, 17 subjects (55.7 ± 1.0 years) received auditory stimulation in synchrony with SO up-states, which was compared to a no-stimulation sham condition. Overnight memory consolidation was assessed for declarative word-pairs and procedural finger-tapping skill. Post-sleep encoding capabilities were tested with a picture recognition task. Electrophysiological effects of stimulation were compared to a previous younger cohort (n = 11, 24.2 ± 0.9 years). Results Overnight retention and post-sleep encoding performance of the older cohort revealed no beneficial effect of stimulation, which contrasts with the enhancing effect the same stimulation protocol had in our younger cohort. Auditory stimulation prolonged endogenous SO trains and induced sleep spindles phase-locked to SO up-states in the older population. However, responses were markedly reduced compared to younger subjects. Additionally, the temporal dynamics of stimulation effects on SOs and spindles differed between age groups. Conclusions Our findings suggest that the susceptibility to auditory stimulation during sleep drastically changes with age and reveal the difficulties of translating a functional protocol from younger to older populations.
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Affiliation(s)
- Jules Schneider
- School of Biological Sciences, University of Manchester, Manchester, UK
- School of Psychology, Cardiff University, Cardiff, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Penelope A Lewis
- School of Biological Sciences, University of Manchester, Manchester, UK
- School of Psychology, Cardiff University, Cardiff, UK
- Corresponding authors. Hong-Viet V. Ngo, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands. ; Penelope A. Lewis, School of Psychology, Cardiff University, Cardiff, UK.
| | - Dominik Koester
- Institute for Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany
| | - Jan Born
- Institute for Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Hong-Viet V Ngo
- Institute for Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
- Corresponding authors. Hong-Viet V. Ngo, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands. ; Penelope A. Lewis, School of Psychology, Cardiff University, Cardiff, UK.
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14
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Daneault V, Orban P, Martin N, Dansereau C, Godbout J, Pouliot P, Dickinson P, Gosselin N, Vandewalle G, Maquet P, Lina JM, Doyon J, Bellec P, Carrier J. Cerebral functional networks during sleep in young and older individuals. Sci Rep 2021; 11:4905. [PMID: 33649377 PMCID: PMC7921592 DOI: 10.1038/s41598-021-84417-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/15/2021] [Indexed: 11/09/2022] Open
Abstract
Even though sleep modification is a hallmark of the aging process, age-related changes in functional connectivity using functional Magnetic Resonance Imaging (fMRI) during sleep, remain unknown. Here, we combined electroencephalography and fMRI to examine functional connectivity differences between wakefulness and light sleep stages (N1 and N2 stages) in 16 young (23.1 ± 3.3y; 7 women), and 14 older individuals (59.6 ± 5.7y; 8 women). Results revealed extended, distributed (inter-between) and local (intra-within) decreases in network connectivity during sleep both in young and older individuals. However, compared to the young participants, older individuals showed lower decreases in connectivity or even increases in connectivity between thalamus/basal ganglia and several cerebral regions as well as between frontal regions of various networks. These findings reflect a reduced ability of the older brain to disconnect during sleep that may impede optimal disengagement for loss of responsiveness, enhanced lighter and fragmented sleep, and contribute to age effects on sleep-dependent brain plasticity.
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Affiliation(s)
- Véronique Daneault
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Pierre Orban
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Department of Psychiatry, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada.,Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada
| | - Nicolas Martin
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Christian Dansereau
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Jonathan Godbout
- Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Génie Électrique, École de technologie supérieure, 1100, rue Notre-Dame Ouest, Montreal, QC, H3C 1K3, Canada
| | - Philippe Pouliot
- École Polytechnique de Montréal, Succursale Centre-Ville, C.P. 6079, Montreal, QC, H3C 3A7, Canada
| | - Philip Dickinson
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, Université de Liège, Allée du 6 Août, Bâtiment B30, Sart Tilman, 4000, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, Université de Liège, Allée du 6 Août, Bâtiment B30, Sart Tilman, 4000, Liège, Belgium
| | - Jean-Marc Lina
- Génie Électrique, École de technologie supérieure, 1100, rue Notre-Dame Ouest, Montreal, QC, H3C 1K3, Canada.,Centre de Recherches Mathématiques (CRM), Université de Montréal, Succursale Centre-Ville, Case postale 6128, Montreal, QC, H3C 3J7, Canada.,Biomedical Engineering Department, McGill University, 3775 University Street, Montreal, QC, H3A 2B4, Canada.,U678 INSERM, Paris, France
| | - Julien Doyon
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Pierre Bellec
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Julie Carrier
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada. .,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada. .,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada.
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15
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Time is of the essence: Coupling sleep-wake and circadian neurobiology to the antidepressant effects of ketamine. Pharmacol Ther 2020; 221:107741. [PMID: 33189715 DOI: 10.1016/j.pharmthera.2020.107741] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 11/03/2020] [Indexed: 12/28/2022]
Abstract
Several studies have demonstrated the effectiveness of ketamine in rapidly alleviating depression and suicidal ideation. Intense research efforts have been undertaken to expose the precise mechanism underlying the antidepressant action of ketamine; however, the translation of findings into new clinical treatments has been slow. This translational gap is partially explained by a lack of understanding of the function of time and circadian timing in the complex neurobiology around ketamine. Indeed, the acute pharmacological effects of a single ketamine treatment last for only a few hours, whereas the antidepressant effects peak at around 24 hours and are sustained for the following few days. Numerous studies have investigated the acute and long-lasting neurobiological changes induced by ketamine; however, the most dramatic and fundamental change that the brain undergoes each day is rarely taken into consideration. Here, we explore the link between sleep and circadian regulation and rapid-acting antidepressant effects and summarize how diverse phenomena associated with ketamine's antidepressant actions - such as cortical excitation, synaptogenesis, and involved molecular determinants - are intimately connected with the neurobiology of wake, sleep, and circadian rhythms. We review several recently proposed hypotheses about rapid antidepressant actions, which focus on sleep or circadian regulation, and discuss their implications for ongoing research. Considering these aspects may be the last piece of the puzzle necessary to gain a more comprehensive understanding of the effects of rapid-acting antidepressants on the brain.
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16
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Amara AW. Sleep and cognition in Parkinson's disease. Sleep Med 2020; 73:179-180. [DOI: 10.1016/j.sleep.2020.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 07/24/2020] [Indexed: 11/28/2022]
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17
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Guan Q, Hu X, Ma N, He H, Duan F, Li X, Luo Y, Zhang H. Sleep Quality, Depression, and Cognitive Function in Non-Demented Older Adults. J Alzheimers Dis 2020; 76:1637-1650. [DOI: 10.3233/jad-190990] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Qing Guan
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Xiaohui Hu
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Ning Ma
- Center for Sleep Research, School of Psychology, South China Normal University, Guangzhou, China
| | - Hao He
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Feiyan Duan
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, P. R. China
| | - Yuejia Luo
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Haobo Zhang
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
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18
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Muehlroth BE, Rasch B, Werkle-Bergner M. Episodic memory consolidation during sleep in healthy aging. Sleep Med Rev 2020; 52:101304. [DOI: 10.1016/j.smrv.2020.101304] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 03/03/2020] [Accepted: 03/04/2020] [Indexed: 11/29/2022]
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19
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Gomez-Pilar J, Northoff G, Vaquerizo-Villar F, Poza J, Gutierrez-Tobal GC, Hornero R. Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:3473-3476. [PMID: 33018751 DOI: 10.1109/embc44109.2020.9176315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Spatial and frequency characterization of sleep spindles have been extensively addressed using M/EEG or fMRI recordings. However, its intraindividual variability across time has not been addressed. Here we propose to assess the intraindividual variability of sleep spindles in a time-resolved way by means of a trial-to-trial-variability (TTV) measure. For that purpose, the EEG of 26 healthy subjects were recorded overnight. After an exhaustive preprocessing pipeline to remove artifacts, spindles were automatically detected using a complex demodulation-based method. Then, the Wavelet Scalogram was estimated to validate it. Spindle TTV of each participant was also computed for all the conventional EEG frequency bands. Root mean square (RMS) of each TTV signal was calculated as a measure of the total variability of each spindle. Results showed significant differences in the variability between frequencies. Specifically, RMS in the beta-1 frequency band showed higher values as compared to all the other frequency bands (p<0.001). TTV curves showed a dichotomic trend, with lower frequencies showing an increase in the variability before the spindle onset, and higher frequencies showing such increase after the onset. The dependence of the spindle variability with the frequency could be explained by the influence of the multiple cortical generators involved.Clinical Relevance- Sleep spindles are similarly affected in different cognitive-related disorders, which supports the relevance of assessing abnormal sleep patterns as a possible cause for such cognitive deficits.
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20
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Salfi F, D'Atri A, Tempesta D, De Gennaro L, Ferrara M. Boosting Slow Oscillations during Sleep to Improve Memory Function in Elderly People: A Review of the Literature. Brain Sci 2020; 10:E300. [PMID: 32429181 PMCID: PMC7287854 DOI: 10.3390/brainsci10050300] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 05/11/2020] [Accepted: 05/13/2020] [Indexed: 02/05/2023] Open
Abstract
Sleep represents a crucial time window for the consolidation of memory traces. In this view, some brain rhythms play a pivotal role, first of all the sleep slow waves. In particular, the neocortical slow oscillations (SOs), in coordination with the hippocampal ripples and the thalamocortical spindles, support the long-term storage of the declarative memories. The aging brain is characterized by a disruption of this complex system with outcomes on the related cognitive functions. In recent years, the advancement of the comprehension of the sleep-dependent memory consolidation mechanisms has encouraged the development of techniques of SO enhancement during sleep to induce cognitive benefits. In this review, we focused on the studies reporting on the application of acoustic or electric stimulation procedures in order to improve sleep-dependent memory consolidation in older subjects. Although the current literature is limited and presents inconsistencies, there is promising evidence supporting the perspective to non-invasively manipulate the sleeping brain electrophysiology to improve cognition in the elderly, also shedding light on the mechanisms underlying the sleep-memory relations during healthy and pathological aging.
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Affiliation(s)
- Federico Salfi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy
| | - Aurora D'Atri
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy
| | - Daniela Tempesta
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy
| | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy
| | - Michele Ferrara
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy
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21
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Muehlroth BE, Sander MC, Fandakova Y, Grandy TH, Rasch B, Lee Shing Y, Werkle-Bergner M. Memory quality modulates the effect of aging on memory consolidation during sleep: Reduced maintenance but intact gain. Neuroimage 2020; 209:116490. [PMID: 31883456 PMCID: PMC7068706 DOI: 10.1016/j.neuroimage.2019.116490] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 12/10/2019] [Accepted: 12/21/2019] [Indexed: 01/29/2023] Open
Abstract
Successful consolidation of associative memories relies on the coordinated interplay of slow oscillations and sleep spindles during non-rapid eye movement (NREM) sleep. This enables the transfer of labile information from the hippocampus to permanent memory stores in the neocortex. During senescence, the decline of the structural and functional integrity of the hippocampus and neocortical regions is paralleled by changes of the physiological events that stabilize and enhance associative memories during NREM sleep. However, the currently available evidence is inconclusive as to whether and under which circumstances memory consolidation is impacted during aging. To approach this question, 30 younger adults (19-28 years) and 36 older adults (63-74 years) completed a memory task based on scene-word associations. By tracing the encoding quality of participants' individual memory associations, we demonstrate that previous learning determines the extent of age-related impairments in memory consolidation. Specifically, the detrimental effects of aging on memory maintenance were greatest for mnemonic contents of intermediate encoding quality, whereas memory gain of poorly encoded memories did not differ by age. Ambulatory polysomnography (PSG) and structural magnetic resonance imaging (MRI) data were acquired to extract potential predictors of memory consolidation from each participant's NREM sleep physiology and brain structure. Partial Least Squares Correlation was used to identify profiles of interdependent alterations in sleep physiology and brain structure that are characteristic for increasing age. Across age groups, both the 'aged' sleep profile, defined by decreased slow-wave activity (0.5-4.5 Hz), and a reduced presence of slow oscillations (0.5-1 Hz), slow, and fast spindles (9-12.5 Hz; 12.5-16 Hz), as well as the 'aged' brain structure profile, characterized by gray matter reductions in the medial prefrontal cortex, thalamus, entorhinal cortex, and hippocampus, were associated with reduced memory maintenance. However, inter-individual differences in neither sleep nor structural brain integrity alone qualified as the driving force behind age differences in sleep-dependent consolidation in the present study. Our results underscore the need for novel and age-fair analytic tools to provide a mechanistic understanding of age differences in memory consolidation.
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Affiliation(s)
- Beate E Muehlroth
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
| | - Myriam C Sander
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - Yana Fandakova
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - Thomas H Grandy
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - Björn Rasch
- Department of Psychology, University of Fribourg, Rue P.-A.-de-Faucigny 2, 1701, Fribourg, Switzerland
| | - Yee Lee Shing
- Department of Developmental Psychology, Goethe University Frankfurt, Theodor-W.-Adorno-Platz 6, 60629, Frankfurt Am Main, Germany
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
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22
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D'Rozario AL, Chapman JL, Phillips CL, Palmer JR, Hoyos CM, Mowszowski L, Duffy SL, Marshall NS, Benca R, Mander B, Grunstein RR, Naismith SL. Objective measurement of sleep in mild cognitive impairment: A systematic review and meta-analysis. Sleep Med Rev 2020; 52:101308. [PMID: 32302775 DOI: 10.1016/j.smrv.2020.101308] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 12/23/2019] [Accepted: 02/05/2020] [Indexed: 10/24/2022]
Abstract
Older adults with mild cognitive impairment (MCI) are at-risk of developing dementia, particularly Alzheimer's disease. While some research suggests that alterations in sleep architecture may mediate cognitive decline, the nature and magnitude of changes to sleep macro- (sleep stages) and micro-architecture (electroencephalography (EEG) oscillations) in MCI is not yet clear. This study aimed to systematically review and meta-analyse case-control studies objectively measuring sleep in MCI. A systematic search was conducted using PubMed, Scopus, Web of Science, Embase and Psycinfo databases and after review, a total of 10 studies met inclusion criteria. Of these, all reported sleep macro-architecture and four reported micro-architecture outcomes. A combined total of 430 participants (209 with and 221 without MCI) underwent objective sleep assessments in the included full text articles. Findings show that compared to healthy controls, those with MCI have pronounced changes in sleep macro-architecture with greater wake after sleep onset, reduced total sleep time, lower sleep efficiency, longer sleep onset latency, longer rapid eye movement sleep (REM) latency, reduced REM sleep, greater N1 sleep, and worse severity of hypoxemia. Pooling of sleep micro-architecture EEG measures was not possible due to limited studies, however reduced spindles in non-REM sleep and greater EEG slowing in REM sleep were reported.
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Affiliation(s)
- Angela L D'Rozario
- School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia.
| | - Julia L Chapman
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia
| | - Craig L Phillips
- Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Jake R Palmer
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; School of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Camilla M Hoyos
- School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia
| | - Loren Mowszowski
- School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Shantel L Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Nathaniel S Marshall
- Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Ruth Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Bryce Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Ronald R Grunstein
- Woolcock Institute of Medical Research, University of Sydney, Glebe, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Sharon L Naismith
- School of Psychology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
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23
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Bouchard M, Lina JM, Gaudreault PO, Dubé J, Gosselin N, Carrier J. EEG connectivity across sleep cycles and age. Sleep 2020; 43:5613705. [PMID: 31691825 DOI: 10.1093/sleep/zsz236] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 07/02/2019] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES In young adults, sleep is associated with important changes in cerebral connectivity during the first cycle of non-rapid eye movement (NREM) sleep. Our study aimed to evaluate how electroencephalography (EEG) connectivity during sleep differs between young and older individuals, and across the sleep cycles. METHODS We used imaginary coherence to estimate EEG connectivity during NREM and rapid eye movement (REM) sleep in 30 young (14 women; 20-30 years) and 29 older (18 women; 50-70 years) individuals. We also explored the association between coherence and cognitive measures. RESULTS Older individuals showed lower EEG connectivity in stage N2 but higher connectivity in REM and stage N3 compared to the younger cohort. Age-related differences in N3 were driven by the first sleep cycle. EEG connectivity was lower in REM than N3, especially in younger individuals. Exploratory analyses, controlling for the effects of age, indicated that higher EEG connectivity in delta during N2 was associated with higher processing speed, whereas, during REM sleep, lower EEG connectivity in delta and sigma was associated with higher verbal memory performance and a higher global averaged intelligence quotient score. CONCLUSION Our results indicated that age modifies sleep EEG connectivity but the direction and the magnitude of these effects differ between sleep stages and cycles. Results in N3 and REM point to a reduced ability of the older brains to disconnect as compared to the younger ones. Our results also support the notion that cerebral functional connectivity during sleep may be associated with cognitive functions.
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Affiliation(s)
- Maude Bouchard
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Deparment of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Department of Electrical Engineering, École de Technologie Supérieure, Montreal, QC, Canada
| | - Pierre-Olivier Gaudreault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Deparment of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Jonathan Dubé
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Deparment of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Deparment of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Montréal, QC, Canada.,Deparment of Psychology, Université de Montréal, Montreal, QC, Canada
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24
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Muehlroth BE, Werkle-Bergner M. Understanding the interplay of sleep and aging: Methodological challenges. Psychophysiology 2020; 57:e13523. [PMID: 31930523 DOI: 10.1111/psyp.13523] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/21/2019] [Accepted: 12/12/2019] [Indexed: 12/16/2022]
Abstract
In quest of new avenues to explain, predict, and treat pathophysiological conditions during aging, research on sleep and aging has flourished. Despite the great scientific potential to pinpoint mechanistic pathways between sleep, aging, and pathology, only little attention has been paid to the suitability of analytic procedures applied to study these interrelations. On the basis of electrophysiological sleep and structural brain data of healthy younger and older adults, we identify, illustrate, and resolve methodological core challenges in the study of sleep and aging. We demonstrate potential biases in common analytic approaches when applied to older populations. We argue that uncovering age-dependent alterations in the physiology of sleep requires the development of adjusted and individualized analytic procedures that filter out age-independent interindividual differences. Age-adapted methodological approaches are thus required to foster the development of valid and reliable biomarkers of age-associated cognitive pathologies.
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Affiliation(s)
- Beate E Muehlroth
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
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25
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Jackowska M, Cadar D. The mediating role of low-grade inflammation on the prospective association between sleep and cognitive function in older men and women: 8-year follow-up from the English Longitudinal Study of Ageing. Arch Gerontol Geriatr 2019; 87:103967. [PMID: 31756569 DOI: 10.1016/j.archger.2019.103967] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 09/20/2019] [Accepted: 10/18/2019] [Indexed: 12/11/2022]
Abstract
Suboptimal sleep patterns predict poorer cognitive function in older adults and induce inflammatory responses. Inflammation could also adversely affect cognitive function. This study explored whether systemic inflammation may be one biological mechanism through which sleep influences cognitive performance. Participants were 4877 men and women from the English Longitudinal Study of Ageing who were followed-up for 8 years starting at wave 4 (2008-09), through wave 6 (2012-13), and until wave 8 (2016-17). Sleep quality and duration were measured with self-reported questionnaires. Cognitive function was assessed objectively with tests of verbal fluency, memory (immediate and delayed recall) and time orientation. Analyses were stratified by sex and adjusted for socio-economic circumstances, health behaviours, limiting long-standing illness, medication, depressive symptoms, and baseline inflammation and cognition. In men, in comparison with optimal sleep duration, short sleep (≤6 h: β = -0.343, C.I. -0.611 to -0.076; >6-7 h: β = -0.263, C.I. -0.506 to -0.020) and long sleep (β = -0.536, C.I. -1.019 to -0.053) measured at baseline predicted lower scores in delayed memory recall at follow-up. In women, sleep duration was unrelated to cognitive performance at follow-up, and in both sexes, there was no relationship between sleep quality and follow-up cognitive performance. There was no evidence of mediating effects of inflammatory markers in the relationship between sleep measures and cognitive performance in both sexes. In conclusion, baseline short and long sleep duration is associated with follow-up cognitive performance in older men, but we found no evidence of any mediating effects of inflammation.
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Affiliation(s)
- Marta Jackowska
- Department of Psychology, Whitelands College, University of Roehampton, Holybourne Avenue, London, SW15 4JD, UK.
| | - Dorina Cadar
- Department of Behavioural Science and Health, University College London, London, WC1E 6BT, UK.
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26
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Leong RL, Cheng GHL, Chee MW, Lo JC. The effects of sleep on prospective memory: A systematic review and meta-analysis. Sleep Med Rev 2019; 47:18-27. [DOI: 10.1016/j.smrv.2019.05.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 05/23/2019] [Accepted: 05/27/2019] [Indexed: 01/10/2023]
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27
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Gaudreault PO, Gosselin N, Lafortune M, Deslauriers-Gauthier S, Martin N, Bouchard M, Dubé J, Lina JM, Doyon J, Carrier J. The association between white matter and sleep spindles differs in young and older individuals. Sleep 2019; 41:5025912. [PMID: 29860401 DOI: 10.1093/sleep/zsy113] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Indexed: 11/12/2022] Open
Abstract
Study Objectives Sleep is a reliable indicator of cognitive health in older individuals. Sleep spindles (SS) are non-rapid eye movement (NREM) sleep oscillations implicated in sleep-dependent learning. Their generation imply a complex activation of the thalamo-cortico-thalamic loop. Since SS require neuronal synchrony, the integrity of the white matter (WM) underlying these connections is of major importance. During aging, both SS and WM undergo important changes. The goal of this study was to investigate whether WM integrity could predict the age-related reductions in SS characteristics. Methods Thirty young and 31 older participants underwent a night of polysomnographic recording and a 3T magnetic resonance imaging acquisition including a diffusion sequence. SS were detected in NREM sleep and EEG spectral analysis was performed for the sigma frequency band. WM diffusion metrics were computed in a voxelwise design of analysis. Results Compared to young participants, older individuals showed lower SS density, amplitude, and sigma power. Diffusion metrics were correlated with SS amplitude and sigma power in tracts connecting the thalamus to the frontal cortex for the young but not for the older group, suggesting a moderation effect. Moderation analyses showed that diffusion metrics explained between 14% and 39% of SS amplitude and sigma power variance in the young participants only. Conclusion Our results indicate that WM underlying the thalamo-cortico-thalamic loop predicts SS characteristics in young individuals, but does not explain age-related changes in SS. Other neurophysiological factors could better explain the effect of age on SS characteristics.
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Affiliation(s)
- Pierre-Olivier Gaudreault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Marjolaine Lafortune
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada
| | - Samuel Deslauriers-Gauthier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Sherbrooke Connectivity Imaging Lab, Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Nicolas Martin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Maude Bouchard
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Jonathan Dubé
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada
| | - Julien Doyon
- Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, Université de Montréal, Montreal, QC, Canada.,Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada
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28
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Rehel S, Legrand N, Lecouvey G, Laniepce A, Bertran F, Fleury P, Madeleine S, Eustache F, Desgranges B, Rauchs G. Effects of Sleep and Age on Prospective Memory Consolidation: A Walk in a Virtual Museum. Clocks Sleep 2019; 1:332-351. [PMID: 33089173 PMCID: PMC7445809 DOI: 10.3390/clockssleep1030028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Accepted: 07/15/2019] [Indexed: 02/06/2023] Open
Abstract
Prospective memory (PM) refers to our ability to perform actions at the appropriate moment, either when a predetermined event occurs (event-based, EB) or after a predetermined amount of time (time-based, TB). Sleep favors the consolidation of both EB and TB intentions, but whether this benefit is preserved during ageing is still subject to debate. PM was assessed in 28 young and 27 older healthy volunteers using a virtual environment. Participants had to learn and execute intentions after intervals filled with either daytime wakefulness or nighttime sleep. Intentions consisted of four TB, four EB with a strong link between the cue triggering retrieval and the action to be performed (EB-link) and four with no link (EB-nolink). PM was not affected by age, whatever the type of intention and the nature of the retention interval. While sleep reinforced all types of intentions in young participants, this benefit was only observed for TB and EB-link intentions in older adults. Sleep also reinforced the intrinsic PM components in both groups. Thus, when assessed using complex realistic situations, PM is not impaired in ageing. Results are discussed in the light of memory schema theory and the possible impact of cognitive reserve on sleep and memory.
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Affiliation(s)
- Stéphane Rehel
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Nicolas Legrand
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Grégory Lecouvey
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Alice Laniepce
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Françoise Bertran
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
- Unité d’exploration et de traitement des troubles du sommeil, CHU, 14000 Caen, France
| | - Philippe Fleury
- Centre Interdisciplinaire de Réalité Virtuelle, UNICAEN, 14000 Caen, France
| | - Sophie Madeleine
- Centre Interdisciplinaire de Réalité Virtuelle, UNICAEN, 14000 Caen, France
| | - Francis Eustache
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Béatrice Desgranges
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
| | - Géraldine Rauchs
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000 Caen, France
- Correspondence: ; Tel.: +33-(0)2-31-47-01-34
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29
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Ujma PP, Konrad BN, Simor P, Gombos F, Körmendi J, Steiger A, Dresler M, Bódizs R. Sleep EEG functional connectivity varies with age and sex, but not general intelligence. Neurobiol Aging 2019; 78:87-97. [DOI: 10.1016/j.neurobiolaging.2019.02.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 01/14/2019] [Accepted: 02/10/2019] [Indexed: 11/16/2022]
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30
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Taillard J, Sagaspe P, Berthomier C, Brandewinder M, Amieva H, Dartigues JF, Rainfray M, Harston S, Micoulaud-Franchi JA, Philip P. Non-REM Sleep Characteristics Predict Early Cognitive Impairment in an Aging Population. Front Neurol 2019; 10:197. [PMID: 30918496 PMCID: PMC6424890 DOI: 10.3389/fneur.2019.00197] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 02/15/2019] [Indexed: 12/13/2022] Open
Abstract
Objective: Recent research suggests that sleep disorders or changes in sleep stages or EEG waveform precede over time the onset of the clinical signs of pathological cognitive impairment (e.g., Alzheimer's disease). The aim of this study was to identify biomarkers based on EEG power values and spindle characteristics during sleep that occur in the early stages of mild cognitive impairment (MCI) in older adults. Methods: This study was a case-control cross-sectional study with 1-year follow-up of cases. Patients with isolated subjective cognitive complaints (SCC) or MCI were recruited in the Bordeaux Memory Clinic (MEMENTO cohort). Cognitively normal controls were recruited. All participants were recorded with two successive polysomnography 1 year apart. Delta, theta, and sigma absolute spectral power and spindle characteristics (frequency, density, and amplitude) were analyzed from purified EEG during NREM and REM sleep periods during the entire second night. Results: Twenty-nine patients (8 males, age = 71 ± 7 years) and 29 controls were recruited at T0. Logistic regression analyses demonstrated that age-related cognitive impairment were associated with a reduced delta power (odds ratio (OR) 0.072, P < 0.05), theta power (OR 0.018, P < 0.01), sigma power (OR 0.033, P < 0.05), and spindle maximal amplitude (OR 0.002, P < 0.05) during NREM sleep. Variables were adjusted on age, gender, body mass index, educational level, and medication use. Seventeen patients were evaluated at 1-year follow-up. Correlations showed that changes in self-reported sleep complaints, sleep consolidation, and spindle characteristics (spectral power, maximal amplitude, duration, and frequency) were associated with cognitive impairment (P < 0.05). Conclusion: A reduction in slow-wave, theta and sigma activities, and a modification in spindle characteristics during NREM sleep are associated very early with a greater risk of the occurrence of cognitive impairment. Poor sleep consolidation, lower amplitude, and faster frequency of spindles may be early sleep biomarkers of worsening cognitive decline in older adults.
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Affiliation(s)
- Jacques Taillard
- USR CNRS 3413 SANPSY Sommeil, Addiction et NeuroPSYchiatrie, Bordeaux, France.,SANPSY, USR 3413, Université Bordeaux, Bordeaux, France
| | - Patricia Sagaspe
- USR CNRS 3413 SANPSY Sommeil, Addiction et NeuroPSYchiatrie, Bordeaux, France.,SANPSY, USR 3413, Université Bordeaux, Bordeaux, France.,CHU de Bordeaux, Pôle Neurosciences Cliniques, Bordeaux, France
| | | | | | - Hélène Amieva
- CMRR, CHU Bordeaux, Bordeaux, France.,Bordeaux Population Health Center, INSERM U1219, Université de Bordeaux, Bordeaux, France
| | - Jean-François Dartigues
- CMRR, CHU Bordeaux, Bordeaux, France.,Bordeaux Population Health Center, INSERM U1219, Université de Bordeaux, Bordeaux, France
| | | | | | - Jean-Arthur Micoulaud-Franchi
- USR CNRS 3413 SANPSY Sommeil, Addiction et NeuroPSYchiatrie, Bordeaux, France.,SANPSY, USR 3413, Université Bordeaux, Bordeaux, France.,CHU de Bordeaux, Pôle Neurosciences Cliniques, Bordeaux, France
| | - Pierre Philip
- USR CNRS 3413 SANPSY Sommeil, Addiction et NeuroPSYchiatrie, Bordeaux, France.,SANPSY, USR 3413, Université Bordeaux, Bordeaux, France.,CHU de Bordeaux, Pôle Neurosciences Cliniques, Bordeaux, France
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31
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Muehlroth BE, Sander MC, Fandakova Y, Grandy TH, Rasch B, Shing YL, Werkle-Bergner M. Precise Slow Oscillation-Spindle Coupling Promotes Memory Consolidation in Younger and Older Adults. Sci Rep 2019; 9:1940. [PMID: 30760741 PMCID: PMC6374430 DOI: 10.1038/s41598-018-36557-z] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 11/25/2018] [Indexed: 01/17/2023] Open
Abstract
Memory consolidation during sleep relies on the precisely timed interaction of rhythmic neural events. Here, we investigate differences in slow oscillations (SO; 0.5-1 Hz), sleep spindles (SP), and their coupling across the adult human lifespan and ask whether observed alterations relate to the ability to retain associative memories across sleep. We demonstrate that older adults do not show the fine-tuned coupling of fast SPs (12.5-16 Hz) to the SO peak present in younger adults but, instead, are characterized most by a slow SP power increase (9-12.5 Hz) at the end of the SO up-state. This slow SP power increase, typical for older adults, coincides with worse memory consolidation in young age already, whereas the tight precision of SO-fast SP coupling promotes memory consolidation across younger and older adults. Crucially, brain integrity in source regions of SO and SP generation, including the medial prefrontal cortex, thalamus, hippocampus and entorhinal cortex, reinforces this beneficial SO-SP coupling in old age. Our results reveal that cognitive functioning is not only determined by maintaining structural brain integrity across the adult lifespan, but also by the preservation of precisely timed neural interactions during sleep that enable the consolidation of declarative memories.
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Affiliation(s)
- Beate E Muehlroth
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
| | - Myriam C Sander
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Yana Fandakova
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Thomas H Grandy
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Björn Rasch
- Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Yee Lee Shing
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Developmental Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
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32
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Gagnon JF, Lafrenière A, Rauchs G, Petit D, Carrier J. Sleep in Normal Aging, Alzheimer's Disease, and Mild Cognitive Impairment. HANDBOOK OF SLEEP RESEARCH 2019. [DOI: 10.1016/b978-0-12-813743-7.00045-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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33
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Adult Gross Motor Learning and Sleep: Is There a Mutual Benefit? Neural Plast 2018; 2018:3076986. [PMID: 30186317 PMCID: PMC6110005 DOI: 10.1155/2018/3076986] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 07/11/2018] [Accepted: 07/28/2018] [Indexed: 12/26/2022] Open
Abstract
Posttraining consolidation, also known as offline learning, refers to neuroplastic processes and systemic reorganization by which newly acquired skills are converted from an initially transient state into a more permanent state. An extensive amount of research on cognitive and fine motor tasks has shown that sleep is able to enhance these processes, resulting in more stable declarative and procedural memory traces. On the other hand, limited evidence exists concerning the relationship between sleep and learning of gross motor skills. We are particularly interested in this relationship with the learning of gross motor skills in adulthood, such as in the case of sports, performing arts, devised experimental tasks, and rehabilitation practice. Thus, the present review focuses on sleep and gross motor learning (GML) in adults. The literature on the impact of sleep on GML, the consequences of sleep deprivation, and the influence of GML on sleep architecture were evaluated for this review. While sleep has proven to be beneficial for most gross motor tasks, sleep deprivation in turn has not always resulted in performance decay. Furthermore, correlations between motor performance and sleep parameters have been found. These results are of potential importance for integrating sleep in physiotherapeutic interventions, especially for patients with impaired gross motor functions.
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Panagiotou M, Papagiannopoulos K, Rohling JHT, Meijer JH, Deboer T. How Old Is Your Brain? Slow-Wave Activity in Non-rapid-eye-movement Sleep as a Marker of Brain Rejuvenation After Long-Term Exercise in Mice. Front Aging Neurosci 2018; 10:233. [PMID: 30131689 PMCID: PMC6090067 DOI: 10.3389/fnagi.2018.00233] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 07/17/2018] [Indexed: 12/21/2022] Open
Abstract
Physical activity is beneficial for health. It has been shown to improve brain functioning and cognition, reduce severity of mood disorders, as well as facilitate healthy sleep and healthy aging. Sleep has been studied in healthy aged mice and absolute slow-wave-activity levels (SWA, electroencephalogram power between 0.75 and 4.0 Hz) in non-rapid-eye-movement sleep (NREM) were elevated, suggesting changes in brain connectivity. To investigate whether physical activity can diminish this aging-induced effect, mice of three age groups were provided with a running wheel (RW) for 1-3 months (6-months-old, n = 9; 18-months-old, n = 9; 24-months-old, n = 8) and were compared with control sedentary mice (n = 11, n = 8 and n = 9 respectively). Two weeks before the sleep-wake recordings the running wheels were removed. The electroencephalogram (EEG) and electromyogram were continuously recorded during undisturbed 24 h baseline (BL) and a sleep-deprivation was conducted during the first 6 h of the second day. Increased waking and decreased NREM sleep was found in the young RW mice, compared to young controls. These effects were not evident in the 18 and 24 months old mice. Unlike sleep architecture, we found that SWA was altered throughout the whole age spectrum. Notably, SWA was increased with aging and attenuated with exercise, exhibiting the lowest levels in the young RW mice. To utilize the cross-age revealing features of SWA, we applied machine learning techniques and found that characteristic information regarding age and exercise was enclosed in SWA. In addition, with cluster analysis, we could classify and accurately distinguish the different groups based solely on their SWA. Therefore, our study comprises a three-fold contribution: (a) effects of exercise on sleep are sustained following 2 weeks after removal of the wheel, (b) we show that EEG SWA can be used as a physiological marker of brain age in the mouse,
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Affiliation(s)
- Maria Panagiotou
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Jos H T Rohling
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands
| | - Johanna H Meijer
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands
| | - Tom Deboer
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands
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Carrier J, Semba K, Deurveilher S, Drogos L, Cyr-Cronier J, Lord C, Sekerovick Z. Sex differences in age-related changes in the sleep-wake cycle. Front Neuroendocrinol 2017; 47:66-85. [PMID: 28757114 DOI: 10.1016/j.yfrne.2017.07.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 06/09/2017] [Accepted: 07/19/2017] [Indexed: 02/06/2023]
Abstract
Age-related changes in sleep and circadian regulation occur as early as the middle years of life. Research also suggests that sleep and circadian rhythms are regulated differently between women and men. However, does sleep and circadian rhythms regulation age similarly in men and women? In this review, we present the mechanisms underlying age-related differences in sleep and the current state of knowledge on how they interact with sex. We also address how testosterone, estrogens, and progesterone fluctuations across adulthood interact with sleep and circadian regulation. Finally, we will propose research avenues to unravel the mechanisms underlying sex differences in age-related effects on sleep.
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Affiliation(s)
- Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montréal, Québec, Canada; Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, Québec, Canada; Département de psychologie, Université de Montréal, Montréal, Québec, Canada.
| | - Kazue Semba
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada; Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Department of Psychology & Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Samuel Deurveilher
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Lauren Drogos
- Departments of Physiology & Pharmacology and Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Jessica Cyr-Cronier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montréal, Québec, Canada
| | - Catherine Lord
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montréal, Québec, Canada
| | - Zoran Sekerovick
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, Montréal, Québec, Canada
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Lajnef T, O’Reilly C, Combrisson E, Chaibi S, Eichenlaub JB, Ruby PM, Aguera PE, Samet M, Kachouri A, Frenette S, Carrier J, Jerbi K. Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS). Front Neuroinform 2017; 11:15. [PMID: 28303099 PMCID: PMC5332402 DOI: 10.3389/fninf.2017.00015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 02/01/2017] [Indexed: 12/02/2022] Open
Abstract
Sleep spindles and K-complexes are among the most prominent micro-events observed in electroencephalographic (EEG) recordings during sleep. These EEG microstructures are thought to be hallmarks of sleep-related cognitive processes. Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders. Therefore, procedures for automatic detection of spindles and K-complexes could provide valuable assistance to researchers and clinicians in the field. Recently, we proposed a framework for joint spindle and K-complex detection (Lajnef et al., 2015a) based on a Tunable Q-factor Wavelet Transform (TQWT; Selesnick, 2011a) and morphological component analysis (MCA). Using a wide range of performance metrics, the present article provides critical validation and benchmarking of the proposed approach by applying it to open-access EEG data from the Montreal Archive of Sleep Studies (MASS; O'Reilly et al., 2014). Importantly, the obtained scores were compared to alternative methods that were previously tested on the same database. With respect to spindle detection, our method achieved higher performance than most of the alternative methods. This was corroborated with statistic tests that took into account both sensitivity and precision (i.e., Matthew's coefficient of correlation (MCC), F1, Cohen κ). Our proposed method has been made available to the community via an open-source tool named Spinky (for spindle and K-complex detection). Thanks to a GUI implementation and access to Matlab and Python resources, Spinky is expected to contribute to an open-science approach that will enhance replicability and reliable comparisons of classifier performances for the detection of sleep EEG microstructure in both healthy and patient populations.
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Affiliation(s)
- Tarek Lajnef
- Psychology Department, University of MontrealMontreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de MontréalMontreal, QC, Canada
| | - Christian O’Reilly
- Blue Brain Project, École Polytechnique Fédérale de LausanneGeneve, Switzerland
| | - Etienne Combrisson
- Psychology Department, University of MontrealMontreal, QC, Canada
- Inter-University Laboratory of Human Movement Biology, University Claude Bernard Lyon 1Villeurbanne, France
- DYCOG Lab, Lyon Neuroscience Research Center, INSERM U1028, UMR 5292, University Lyon ILyon, France
| | - Sahbi Chaibi
- LETI Lab Sfax National Engineering School (ENIS), University of SfaxSfax, Tunisia
| | - Jean-Baptiste Eichenlaub
- Department of Neurology, Massachusetts General Hospital (MGH), Harvard Medical SchoolBoston, MA, USA
| | - Perrine M. Ruby
- DYCOG Lab, Lyon Neuroscience Research Center, INSERM U1028, UMR 5292, University Lyon ILyon, France
| | - Pierre-Emmanuel Aguera
- DYCOG Lab, Lyon Neuroscience Research Center, INSERM U1028, UMR 5292, University Lyon ILyon, France
| | - Mounir Samet
- LETI Lab Sfax National Engineering School (ENIS), University of SfaxSfax, Tunisia
| | - Abdennaceur Kachouri
- LETI Lab Sfax National Engineering School (ENIS), University of SfaxSfax, Tunisia
| | - Sonia Frenette
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de MontréalMontreal, QC, Canada
| | - Julie Carrier
- Psychology Department, University of MontrealMontreal, QC, Canada
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de MontréalMontreal, QC, Canada
| | - Karim Jerbi
- Psychology Department, University of MontrealMontreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM)Montréal, QC, Canada
- Centre de Recherche En Neuropsychologie Et Cognition (CERNEC), Psychology Department, Université de MontréalMontréal, QC, Canada
- BRAMS, International Laboratory for Research on Brain, Music, and SoundMontreal, QC, Canada
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Wislowska M, Heib DPJ, Griessenberger H, Hoedlmoser K, Schabus M. Individual baseline memory performance and its significance for sleep-dependent memory consolidation. ACTA ACUST UNITED AC 2017. [DOI: 10.1556/2053.1.2016.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Malgorzata Wislowska
- Centre for Cognitive Neuroscience (CCNS), University of Salzburg, Salzburg, Austria
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Dominik P. J. Heib
- Centre for Cognitive Neuroscience (CCNS), University of Salzburg, Salzburg, Austria
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Hermann Griessenberger
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Kerstin Hoedlmoser
- Centre for Cognitive Neuroscience (CCNS), University of Salzburg, Salzburg, Austria
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
| | - Manuel Schabus
- Centre for Cognitive Neuroscience (CCNS), University of Salzburg, Salzburg, Austria
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, Salzburg, Austria
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Thompson RS, Roller R, Mika A, Greenwood BN, Knight R, Chichlowski M, Berg BM, Fleshner M. Dietary Prebiotics and Bioactive Milk Fractions Improve NREM Sleep, Enhance REM Sleep Rebound and Attenuate the Stress-Induced Decrease in Diurnal Temperature and Gut Microbial Alpha Diversity. Front Behav Neurosci 2017; 10:240. [PMID: 28119579 PMCID: PMC5223485 DOI: 10.3389/fnbeh.2016.00240] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Accepted: 12/09/2016] [Indexed: 01/09/2023] Open
Abstract
Severe, repeated or chronic stress produces negative health outcomes including disruptions of the sleep/wake cycle and gut microbial dysbiosis. Diets rich in prebiotics and glycoproteins impact the gut microbiota and may increase gut microbial species that reduce the impact of stress. This experiment tested the hypothesis that consumption of dietary prebiotics, lactoferrin (Lf) and milk fat globule membrane (MFGM) will reduce the negative physiological impacts of stress. Male F344 rats, postnatal day (PND) 24, received a diet with prebiotics, Lf and MFGM (test) or a calorically matched control diet. Fecal samples were collected on PND 35/70/91 for 16S rRNA sequencing to examine microbial composition and, in a subset of rats; Lactobacillus rhamnosus was measured using selective culture. On PND 59, biotelemetry devices were implanted to record sleep/wake electroencephalographic (EEG). Rats were exposed to an acute stressor (100, 1.5 mA, tail shocks) on PND 87 and recordings continued until PND 94. Test diet, compared to control diet, increased fecal Lactobacillus rhamnosus colony forming units (CFU), facilitated non-rapid eye movement (NREM) sleep consolidation (PND 71/72) and enhanced rapid eye movement (REM) sleep rebound after stressor exposure (PND 87). Rats fed control diet had stress-induced reductions in alpha diversity and diurnal amplitude of temperature, which were attenuated by the test diet (PND 91). Stepwise multiple regression analysis revealed a significant linear relationship between early-life Deferribacteres (PND 35) and longer NREM sleep episodes (PND 71/72). A diet containing prebiotics, Lf and MFGM enhanced sleep quality, which was related to changes in gut bacteria and modulated the impact of stress on sleep, diurnal rhythms and the gut microbiota.
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Affiliation(s)
- Robert S Thompson
- Stress Physiology Laboratory, Department of Integrative Physiology, University of Colorado at BoulderBoulder, CO, USA; The Center for NeuroscienceUniversity of Colorado at Boulder, Boulder, CO, USA
| | - Rachel Roller
- Stress Physiology Laboratory, Department of Integrative Physiology, University of Colorado at BoulderBoulder, CO, USA; The Center for NeuroscienceUniversity of Colorado at Boulder, Boulder, CO, USA
| | - Agnieszka Mika
- Stress Physiology Laboratory, Department of Integrative Physiology, University of Colorado at BoulderBoulder, CO, USA; The Center for NeuroscienceUniversity of Colorado at Boulder, Boulder, CO, USA
| | | | - Rob Knight
- Department of Pediatrics, University of California School of Medicine San Diego, CA, USA
| | - Maciej Chichlowski
- Pediatric Nutrition Institute, Mead Johnson Nutrition Evansville, IN, USA
| | - Brian M Berg
- Pediatric Nutrition Institute, Mead Johnson Nutrition Evansville, IN, USA
| | - Monika Fleshner
- Stress Physiology Laboratory, Department of Integrative Physiology, University of Colorado at BoulderBoulder, CO, USA; The Center for NeuroscienceUniversity of Colorado at Boulder, Boulder, CO, USA
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Fogel S, Vien C, Karni A, Benali H, Carrier J, Doyon J. Sleep spindles: a physiological marker of age-related changes in gray matter in brain regions supporting motor skill memory consolidation. Neurobiol Aging 2016; 49:154-164. [PMID: 27815989 DOI: 10.1016/j.neurobiolaging.2016.10.009] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 09/08/2016] [Accepted: 10/03/2016] [Indexed: 12/21/2022]
Abstract
Sleep is necessary for the optimal consolidation of procedural learning, and in particular, for motor sequential skills. Motor sequence learning remains intact with age, but sleep-dependent consolidation is impaired, suggesting that memory deficits for procedural skills are specifically impacted by age-related changes in sleep. Age-related changes in spindles may be responsible for impaired motor sequence learning consolidation, but the morphological basis for this deficit is unknown. Here, we found that gray matter in the hippocampus and cerebellum was positively correlated with both sleep spindles and offline improvements in performance in young participants but not in older participants. These results suggest that age-related changes in gray matter in the hippocampus relate to spindles and may underlie age-related deficits in sleep-related motor sequence memory consolidation. In this way, spindles can serve as a biological marker for structural brain changes and the related memory deficits in older adults.
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Affiliation(s)
- Stuart Fogel
- Functional Neuroimaging Unit, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Department of Psychology, University of Montreal, Montreal, Canada; School of Psychology, University of Ottawa, Ottawa, Canada; University of Ottawa Institute of Mental Health Research, Ottawa, Canada; University of Ottawa Brain and Mind Research Institute, Ottawa, Canada
| | - Catherine Vien
- Functional Neuroimaging Unit, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Department of Psychology, University of Montreal, Montreal, Canada
| | - Avi Karni
- Laboratory for Human Brain & Learning, Sagol Department of Neurobiology & the E.J. Safra Brain Research Center, University of Haifa, Haifa, Israel
| | - Habib Benali
- Functional Neuroimaging Unit, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Functional Neuroimaging Laboratory, INSERM, Paris, France
| | - Julie Carrier
- Functional Neuroimaging Unit, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Department of Psychology, University of Montreal, Montreal, Canada; Centre d'études Avancées en Médecine du Sommeil, Hôpital du Sacré-Cœur de Montréal, Montreal, Canada
| | - Julien Doyon
- Functional Neuroimaging Unit, Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, Canada; Department of Psychology, University of Montreal, Montreal, Canada.
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Backhaus W, Kempe S, Hummel FC. The effect of sleep on motor learning in the aging and stroke population - a systematic review. Restor Neurol Neurosci 2016; 34:153-64. [PMID: 26835597 DOI: 10.3233/rnn-150521] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
There is extensive evidence for positive effects of sleep on motor learning in young individuals; however, the effects of sleep on motor learning in people with stroke and in healthy older individuals are not well understood. The aim of this systematic review was to quantify the association between sleep and procedural memory performance - a marker for motor learning - in healthy older people and people with stroke. After searches in PubMed, Medline and Embase fourteen studies, including 44 subjects after stroke and 339 healthy older participants were included. Overall, sleep was found to enhance motor performance in people after stroke in comparison to an equivalent time of wakefulness. In addition, although evidence is limited, sleep only enhanced motor performance in people after stroke and not in age-matched healthy older adults. In older adults the effect of a sleep intervention did - in general - not differ from equivalent periods of wakefulness. Tasks with whole hand or whole body movements could show significant changes. The results suggest a delayed retention effect after longer breaks including sleep, hinting towards a changed learning strategy as a result of aging. Current evidence for sleep dependent learning in people after stroke is promising, however sparse.
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Pótári A, Ujma PP, Konrad BN, Genzel L, Simor P, Körmendi J, Gombos F, Steiger A, Dresler M, Bódizs R. Age-related changes in sleep EEG are attenuated in highly intelligent individuals. Neuroimage 2016; 146:554-560. [PMID: 27670234 DOI: 10.1016/j.neuroimage.2016.09.039] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 09/10/2016] [Accepted: 09/16/2016] [Indexed: 10/21/2022] Open
Abstract
Impaired sleep is a frequent complaint in ageing and a risk factor for many diseases. Non-rapid eye movement (NREM) sleep EEG delta power reflects neural plasticity and, in line with age-related cognitive decline, decreases with age. Individuals with higher general intelligence are less affected by age-related cognitive decline or other disorders and have longer lifespans. We investigated the correlation between age and EEG power in 159 healthy human subjects (age range: 17-69 years), and compared an average (IQ<120; N=87) with a high (IQ≥120; N=72) intelligence subgroup. We found less age-related decrease in all-night relative NREM sleep EEG delta power in the high intelligence subgroup. Our results suggest that highly intelligent individuals are less affected by the sleep-related effects of biological ageing, and therefore potentially less at risk for age-related cognitive deficits and other diseases.
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Affiliation(s)
- Adrián Pótári
- Department of Cognitive Sciences, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
| | - Péter P Ujma
- Institute of Behavioural Sciences, Semmelweis University, H-1089 Budapest, Hungary; National Institute of Clinical Neurosciences, H-1145 Budapest, Hungary
| | - Boris N Konrad
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, 6525 EN Nijmegen, The Netherlands
| | - Lisa Genzel
- Centre for Cognitive and Neural Systems, University of Edinburgh, EH8 9JZ Edinburgh, United Kingdom
| | - Péter Simor
- Department of Cognitive Sciences, Budapest University of Technology and Economics, H-1111 Budapest, Hungary; Nyírő Gyula Hospital, National Institute of Psychiatry and Addictions, H-1135 Budapest, Hungary
| | - János Körmendi
- Department of Electrical Engineering and Information Systems, Pannon University, H-8200 Veszprém, Hungary
| | - Ferenc Gombos
- Department of General Psychology, Pázmány Péter Catholic University, H-1088 Boudapest, Hungary
| | - Axel Steiger
- Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, 6525 EN Nijmegen, The Netherlands; Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, H-1089 Budapest, Hungary
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Skeldon AC, Derks G, Dijk DJ. Modelling changes in sleep timing and duration across the lifespan: Changes in circadian rhythmicity or sleep homeostasis? Sleep Med Rev 2016; 28:96-107. [DOI: 10.1016/j.smrv.2015.05.011] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Revised: 05/27/2015] [Accepted: 05/28/2015] [Indexed: 12/20/2022]
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Jones BJ, Schultz KS, Adams S, Baran B, Spencer RMC. Emotional bias of sleep-dependent processing shifts from negative to positive with aging. Neurobiol Aging 2016; 45:178-189. [PMID: 27459938 DOI: 10.1016/j.neurobiolaging.2016.05.019] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 05/04/2016] [Accepted: 05/19/2016] [Indexed: 11/15/2022]
Abstract
Age-related memory decline has been proposed to result partially from impairments in memory consolidation over sleep. However, such decline may reflect a shift toward selective processing of positive information with age rather than impaired sleep-related mechanisms. In the present study, young and older adults viewed negative and neutral pictures or positive and neutral pictures and underwent a recognition test after sleep or wake. Subjective emotional reactivity and affect were also measured. Compared with waking, sleep preserved valence ratings and memory for positive but not negative pictures in older adults and negative but not positive pictures in young adults. In older adults, memory for positive pictures was associated with slow wave sleep. Furthermore, slow wave sleep predicted positive affect in older adults but was inversely related to positive affect in young adults. These relationships were strongest for older adults with high memory for positive pictures and young adults with high memory for negative pictures. Collectively, these results indicate preserved but selective sleep-dependent memory processing with healthy aging that may be biased to enhance emotional well-being.
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Affiliation(s)
- Bethany J Jones
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
| | - Kurt S Schultz
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
- Commonwealth Honors College, University of Massachusetts, Amherst, MA 01002
| | - Sydney Adams
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
- Commonwealth Honors College, University of Massachusetts, Amherst, MA 01002
| | - Bengi Baran
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
| | - Rebecca M C Spencer
- Department of Psychological & Brain Sciences, University of Massachusetts, Amherst, MA 01002
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Boosting Slow Oscillatory Activity Using tDCS during Early Nocturnal Slow Wave Sleep Does Not Improve Memory Consolidation in Healthy Older Adults. Brain Stimul 2016; 9:730-739. [PMID: 27247261 DOI: 10.1016/j.brs.2016.04.016] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 04/21/2016] [Accepted: 04/26/2016] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Previous studies have demonstrated an enhancement of hippocampal-dependent declarative memory consolidation, associated slow wave sleep (SWS) and slow wave activity (SWA) after weak slow oscillatory stimulation (so-tDCS) during early non-rapid eye movement sleep (NREM) in young adults. Recent studies in older individuals could not confirm these findings. However, it remained unclear if this difference was due to variations in study protocol or to the age group under study. OBJECTIVE/HYPOTHESIS Here, we asked if so-tDCS promotes neurophysiological events and associated sleep-dependent memory in the visuo-spatial domain in older adults, using a stimulation protocol that closely resembled the one employed in young adults. METHODS In a randomized, placebo-controlled single-blind (participant) crossover study so-tDCS (0.75 Hz; max. current density 0.522 mA/cm(2)) vs. sham stimulation was applied over the frontal cortex of 21 healthy older subjects. Impact of stimulation on frequency band activity (linear mixed models), two declarative and one procedural memory tasks (repeated measures ANOVA) and percentage of sleep stages (comparison of means) was assessed. RESULTS so-tDCS, as compared to sham, increased SWA and spindle activity immediately following stimulation, accompanied by significantly impaired visuo-spatial memory consolidation. Furthermore, verbal and procedural memory remained unchanged, while percentage of NREM sleep stage 4 was decreased over the entire night (uncorrected). CONCLUSION so-tDCS increased SWA and spindle activity in older adults, events previously associated with stimulation-induced improved consolidation of declarative memories in young subjects. However, consolidation of visuo-spatial (primary outcome) and verbal memories was not beneficially modulated, possibly due to decline in SWS over the entire night that may have prevented and even reversed immediate beneficial effects of so-tDCS on SWA.
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Galbiati A, Manni R, Terzaghi M, Rinaldi F, Zucconi M. Disorders of Arousal. CURRENT SLEEP MEDICINE REPORTS 2016. [DOI: 10.1007/s40675-016-0043-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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46
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Bliwise DL, Epstein CM. Delta, By Any Other Name. Sleep 2016; 39:725-6. [PMID: 26951386 DOI: 10.5665/sleep.5614] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 02/24/2016] [Indexed: 11/03/2022] Open
Affiliation(s)
- Donald L Bliwise
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - Charles M Epstein
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
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47
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Brayet P, Petit D, Frauscher B, Gagnon JF, Gosselin N, Gagnon K, Rouleau I, Montplaisir J. Quantitative EEG of Rapid-Eye-Movement Sleep: A Marker of Amnestic Mild Cognitive Impairment. Clin EEG Neurosci 2016; 47:134-41. [PMID: 26323578 DOI: 10.1177/1550059415603050] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 07/07/2015] [Indexed: 11/15/2022]
Abstract
The basal forebrain cholinergic system, which is impaired in early Alzheimer's disease, is more crucial for the activation of rapid-eye-movement (REM) sleep electroencephalogram (EEG) than it is for wakefulness. Quantitative EEG from REM sleep might thus provide an earlier and more accurate marker of the development of Alzheimer's disease in subjects with mild cognitive impairment (MCI) subjects than that from wakefulness. To assess the superiority of the REM sleep EEG as a screening tool for preclinical Alzheimer's disease, 22 subjects with amnestic MCI (a-MCI; 63.9±7.7 years), 10 subjects with nonamnestic MCI (na-MCI; 64.1±4.5 years) and 32 controls (63.7±6.6 years) participated in the study. Spectral analyses of the waking EEG and REM sleep EEG were performed and the [(delta+theta)/(alpha+beta)] ratio was used to assess between-group differences in EEG slowing. The a-MCI subgroup showed EEG slowing in frontal lateral regions compared to both na-MCI and control groups. This EEG slowing was present in wakefulness (compared to controls) but was much more prominent in REM sleep. Moreover, the comparison between amnestic and nonamnestic subjects was found significant only for the REM sleep EEG. There was no difference in EEG power ratio between na-MCI and controls for any of the 7 cortical regions studied. These findings demonstrate the superiority of the REM sleep EEG in the discrimination between a-MCI and both na-MCI and control subjects.
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Affiliation(s)
- Pauline Brayet
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Dominique Petit
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychiatry, Université de Montréal, Montreal, Quebec, Canada
| | - Birgit Frauscher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jean-François Gagnon
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
| | - Katia Gagnon
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada
| | - Isabelle Rouleau
- Department of Psychology, Université du Québec à Montréal, Montreal, Quebec, Canada Neurology Service, Hôpital Notre-Dame du CHUM, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montreal, Montreal, Quebec, Canada Department of Psychiatry, Université de Montréal, Montreal, Quebec, Canada
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48
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Gorgoni M, Lauri G, Truglia I, Cordone S, Sarasso S, Scarpelli S, Mangiaruga A, D'Atri A, Tempesta D, Ferrara M, Marra C, Rossini PM, De Gennaro L. Parietal Fast Sleep Spindle Density Decrease in Alzheimer's Disease and Amnesic Mild Cognitive Impairment. Neural Plast 2016; 2016:8376108. [PMID: 27066274 PMCID: PMC4811201 DOI: 10.1155/2016/8376108] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 02/02/2016] [Accepted: 02/17/2016] [Indexed: 02/05/2023] Open
Abstract
Several studies have identified two types of sleep spindles: fast (13-15 Hz) centroparietal and slow (11-13 Hz) frontal spindles. Alterations in spindle activity have been observed in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). Only few studies have separately assessed fast and slow spindles in these patients showing a reduction of fast spindle count, but the possible local specificity of this phenomenon and its relation to cognitive decline severity are not clear. Moreover, fast and slow spindle density have never been assessed in AD/MCI. We have assessed fast and slow spindles in 15 AD patients, 15 amnesic MCI patients, and 15 healthy elderly controls (HC). Participants underwent baseline polysomnographic recording (19 cortical derivations). Spindles during nonrapid eye movements sleep were automatically detected, and spindle densities of the three groups were compared in the derivations where fast and slow spindles exhibited their maximum expression (parietal and frontal, resp.). AD and MCI patients showed a significant parietal fast spindle density decrease, positively correlated with Minimental State Examination scores. Our results suggest that AD-related changes in spindle density are specific for frequency and location, are related to cognitive decline severity, and may have an early onset in the pathology development.
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Affiliation(s)
- Maurizio Gorgoni
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
| | - Giulia Lauri
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
| | - Ilaria Truglia
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
| | - Susanna Cordone
- Department of Physiology and Pharmacology, “Sapienza” University of Rome, 00185 Rome, Italy
| | - Simone Sarasso
- Department of Biomedical and Clinical Sciences “Luigi Sacco”, University of Milan, 20157 Milan, Italy
| | - Serena Scarpelli
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
| | | | - Aurora D'Atri
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
| | - Daniela Tempesta
- Department of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy
| | - Michele Ferrara
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 Coppito, Italy
| | - Camillo Marra
- Institute of Neurology, Catholic University of The Sacred Heart, 00168 Rome, Italy
| | - Paolo Maria Rossini
- Institute of Neurology, Catholic University of The Sacred Heart, 00168 Rome, Italy
- IRCCS San Raffaele Pisana, 00163 Rome, Italy
| | - Luigi De Gennaro
- Department of Psychology, “Sapienza” University of Rome, 00185 Rome, Italy
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49
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Mantua J, Baran B, Spencer RMC. Sleep benefits consolidation of visuo-motor adaptation learning in older adults. Exp Brain Res 2015; 234:587-95. [PMID: 26563162 DOI: 10.1007/s00221-015-4490-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 10/29/2015] [Indexed: 12/01/2022]
Abstract
Sleep is beneficial for performance across a range of memory tasks in young adults, but whether memories are similarly consolidated in older adults is less clear. Performance benefits have been observed following sleep in older adults for declarative learning tasks, but this benefit may be reduced for non-declarative, motor skill learning tasks. To date, studies of sleep-dependent consolidation of motor learning in older adults are limited to motor sequence tasks. To examine whether reduced sleep-dependent consolidation in older adults is generalizable to other forms of motor skill learning, we examined performance changes over intervals of sleep and wake in young (n = 62) and older adults (n = 61) using a mirror-tracing task, which assesses visuo-motor adaptation learning. Participants learned the task either in the morning or in evening, and performance was assessed following a 12-h interval containing overnight sleep or daytime wake. Contrary to our prediction, both young adults and older adults exhibited sleep-dependent gains in visuo-motor adaptation. There was a correlation between performance improvement over sleep and percent of the night in non-REM stage 2 sleep. These results indicate that motor skill consolidation remains intact with increasing age although this relationship may be limited to specific forms of motor skill learning.
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Affiliation(s)
- Janna Mantua
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, 419 Tobin Hall/135 Hicks Way, Amherst, MA, 01003, USA
- Neuroscience and Behavior Program, University of Massachusetts, Amherst, Amherst, MA, 01003, USA
| | - Bengi Baran
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, 419 Tobin Hall/135 Hicks Way, Amherst, MA, 01003, USA
| | - Rebecca M C Spencer
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, 419 Tobin Hall/135 Hicks Way, Amherst, MA, 01003, USA.
- Neuroscience and Behavior Program, University of Massachusetts, Amherst, Amherst, MA, 01003, USA.
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50
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Renaud J, Dumont F, Khelfaoui M, Foisset S, Letourneur F, Bienvenu T, Khwaja O, Dorseuil O, Billuart P. Identification of intellectual disability genes showing circadian clock-dependent expression in the mouse hippocampus. Neuroscience 2015; 308:11-50. [DOI: 10.1016/j.neuroscience.2015.08.066] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 08/24/2015] [Accepted: 08/26/2015] [Indexed: 10/23/2022]
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