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Palatine E, Phillips ML, Soehner AM. The effect of slow wave sleep deprivation on mood in adolescents with depressive symptoms: A pilot study. J Affect Disord 2024; 354:347-355. [PMID: 38479512 DOI: 10.1016/j.jad.2024.03.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/13/2024] [Accepted: 03/09/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND There is an urgent need for safe, rapid-acting treatment strategies for adolescent depression. In depressed adults, slow wave sleep deprivation (SWSD) improved next-day mood without disrupting sleep duration, but SWSD has not been tested in adolescents. In a pilot study, the aim was to assess the effect of SWSD on sleep physiology and mood outcomes (depression, rumination, anhedonia) among adolescents with depressive symptoms. METHODS Sixteen adolescents (17.44 ± 1.46 yr, 12 female) completed three nights of polysomnographic sleep recording: Baseline, SWSD, and Recovery nights. Acoustic stimulation (tones of random pitch, duration, and volume) suppressed slow wave sleep (SWS) in real-time during SWSD. After each night, depression, rumination, and anhedonia severity were assessed. RESULTS SWSD successfully suppressed SWS, increased N2, and had minimal impact on Rapid Eye Movement (REM), nocturnal awakenings, and total sleep time. While SWSD did not improve depression or anhedonia severity overall, lower baseline non-REM alpha activity and greater SWS rebound during recovery sleep correlated with SWSD-related reduction in clinician-rated depression severity. Next-day rumination severity decreased after SWSD, with sustained improvements following recovery sleep. However, rumination improvement was not associated with SWS suppression, but rather reduction in total sleep time and REM in exploratory correlation models. LIMITATIONS Small sample size and large proportion of females. CONCLUSION SWSD did not improve depression in adolescents overall but a subset with low non-REM alpha activity and intact homeostatic sleep regulation may benefit from this approach. Findings from this pilot study also suggest that partial sleep deprivation may be a beneficial therapeutic strategy for rumination in adolescents.
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Affiliation(s)
- Elise Palatine
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Adriane M Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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2
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Bains A, Barber A, Nell T, Ripollés P, Krishnan S. The role of intrinsic reward in adolescent word learning. Dev Sci 2024:e13513. [PMID: 38685611 DOI: 10.1111/desc.13513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/25/2024] [Accepted: 03/19/2024] [Indexed: 05/02/2024]
Abstract
Relatively little work has focused on why we are motivated to learn words. In adults, recent experiments have shown that intrinsic reward signals accompany successful word learning from context. In addition, the experience of reward facilitated long-term memory for words. In adolescence, developmental changes are seen in reward and motivation systems as well as in reading and language systems. Here, in the face of this developmental change, we ask whether adolescents experience reward from word learning, and how the reward and memory benefit seen in adults is modulated by age. We used a naturalistic reading paradigm, which involved extracting novel word meanings from sentence context without the need for explicit feedback. By exploring ratings of enjoyment during the learning phase, as well as recognition memory for words a day later, we assessed whether adolescents show the same reward and learning patterns as adults. We tested 345 children between the ages of 10-18 (N > 84 in each 2-year age-band) using this paradigm. We found evidence for our first prediction: children aged 10-18 report greater enjoyment for successful word learning. However, we did not find evidence for age-related change in this developmental period, or memory benefits. This work gives us greater insight into the process of language acquisition and sets the stage for further investigations of intrinsic reward in typical and atypical development. RESEARCH HIGHLIGHTS: We constantly learn words from context, even in the absence of explicit rewards or feedback. In adults, intrinsic reward experienced during word learning is linked to a dopaminergic circuit in the brain, which also fuels enhancements in memory for words. We find adolescents also report enhanced reward or enjoyment when they successfully learn words from sentence context. The relationship between reward and learning is maintained between the ages of 10 and 18. Unlike in adults, we did not observe ensuing memory benefits.
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Affiliation(s)
- Amrita Bains
- Department of Psychology, Royal Holloway, University of London, Egham Hill, UK
| | - Annaliese Barber
- Department of Psychology, Royal Holloway, University of London, Egham Hill, UK
| | - Tau Nell
- Department of Psychology, Royal Holloway, University of London, Egham Hill, UK
| | - Pablo Ripollés
- Department of Psychology, New York University, New York, New York, USA
- Music and Audio Research Lab (MARL), New York University, New York, New York, USA
- Center for Language, Music and Emotion (CLaME), New York University, Max-Planck Institute, New York, New York, USA
| | - Saloni Krishnan
- Department of Psychology, Royal Holloway, University of London, Egham Hill, UK
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de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. Sleep 2024; 47:zsad325. [PMID: 38149978 DOI: 10.1093/sleep/zsad325] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive of a variety of disease states. Patients increasingly present sleep data derived from their wearable devices to their providers and the ever-increasing availability of commercial devices and new-generation research/clinical tools has led to the wide adoption of wearables in research, which has become even more relevant given the discontinuation of the Philips Respironics Actiwatch. Standards for evaluating the performance of wearable sleep-tracking devices have been introduced and the available evidence suggests that consumer-grade devices exceed the performance of traditional actigraphy in assessing sleep as defined by polysomnogram. However, clear limitations exist, for example, the misclassification of wakefulness during the sleep period, problems with sleep tracking outside of the main sleep bout or nighttime period, artifacts, and unclear translation of performance to individuals with certain characteristics or comorbidities. This is of particular relevance when person-specific factors (like skin color or obesity) negatively impact sensor performance with the potential downstream impact of augmenting already existing healthcare disparities. However, wearable sleep-tracking technology holds great promise for our field, given features distinct from traditional actigraphy such as measurement of autonomic parameters, estimation of circadian features, and the potential to integrate other self-reported, objective, and passively recorded health indicators. Scientists face numerous decision points and barriers when incorporating traditional actigraphy, consumer-grade multi-sensor devices, or contemporary research/clinical-grade sleep trackers into their research. Considerations include wearable device capabilities and performance, target population and goals of the study, wearable device outputs and availability of raw and aggregate data, and data extraction, processing, and analysis. Given the difficulties in the implementation and utilization of wearable sleep-tracking technology in real-world research and clinical settings, the following State of the Science review requested by the Sleep Research Society aims to address the following questions. What data can wearable sleep-tracking devices provide? How accurate are these data? What should be taken into account when incorporating wearable sleep-tracking devices into research? These outstanding questions and surrounding considerations motivated this work, outlining practical recommendations for using wearable technology in sleep and circadian research.
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Affiliation(s)
- Massimiliano de Zambotti
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Lisa Health Inc., Oakland, CA, USA
| | - Cathy Goldstein
- Sleep Disorders Center, Department of Neurology, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Jesse Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Luca Menghini
- Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Marco Altini
- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Cheng
- Sleep Disorders and Research Center, Henry Ford Health, Detroit, MI, USA
| | - Rebecca Robillard
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
- Canadian Sleep Research Consortium, Canada
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4
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Kiss O, Qu Z, Müller-Oehring EM, Baker FC, Mirzasoleiman B. Sleep, brain systems, and persistent stress in early adolescents during COVID-19: Insights from the ABCD study. J Affect Disord 2024; 346:234-241. [PMID: 37944709 PMCID: PMC10842722 DOI: 10.1016/j.jad.2023.10.158] [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: 07/31/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
PURPOSE The first year of the COVID-19 pandemic constituted a major life stress event for many adolescents, associated with disrupted school, behaviors, social networks, and health concerns. However, pandemic-related stress was not equivalent for everyone and could have been influenced by pre-pandemic factors including brain structure and sleep, which both undergo substantial development during adolescence. Here, we analyzed clusters of perceived stress levels across the pandemic and determined developmentally relevant pre-pandemic risk factors in brain structure and sleep of persistently high stress during the first year of the COVID-19 pandemic. METHODS We investigated longitudinal changes in perceived stress at six timepoints across the first year of the pandemic (May 2020-March 2021) in 5559 adolescents (50 % female; age range: 11-14 years) in the United States (U.S.) participating in the Adolescent Brain Cognitive Development (ABCD) study. In 3141 of these adolescents, we fitted machine learning models to identify the most important pre-pandemic predictors from structural MRI brain measures and self-reported sleep data that were associated with persistently high stress across the first year of the pandemic. RESULTS Patterns of perceived stress levels varied across the pandemic, with 5 % reporting persistently high stress. Our classifiers accurately detected persistently high stress (AUC > 0.7). Pre-pandemic brain structure, specifically cortical volume in temporal regions, and cortical thickness in multiple parietal and occipital regions, predicted persistent stress. Pre-pandemic sleep difficulties and short sleep duration were also strong predictors of persistent stress, along with more advanced pubertal stage. CONCLUSIONS Adolescents showed variable stress responses during the first year of the COVID-19 pandemic, and some reported persistently high stress across the whole first year. Vulnerability to persistent stress was evident in several brain structural and self-reported sleep measures, collected before the pandemic, suggesting the relevance of other pre-existing individual factors beyond pandemic-related factors, for persistently high stress responses.
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Affiliation(s)
- Orsolya Kiss
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA.
| | - Zihan Qu
- Electrical and Computer Engineering Department, University of California Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095, USA
| | - Eva M Müller-Oehring
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA; Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Baharan Mirzasoleiman
- Computer Science Department, University of California Los Angeles, 404 Westwood Plaza, Los Angeles, CA 90095, USA
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Kozhemiako N, Buckley AW, Chervin RD, Redline S, Purcell SM. Mapping neurodevelopment with sleep macro- and micro-architecture across multiple pediatric populations. Neuroimage Clin 2023; 41:103552. [PMID: 38150746 PMCID: PMC10788305 DOI: 10.1016/j.nicl.2023.103552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/30/2023] [Accepted: 12/12/2023] [Indexed: 12/29/2023]
Abstract
Profiles of sleep duration and timing and corresponding electroencephalographic activity reflect brain changes that support cognitive and behavioral maturation and may provide practical markers for tracking typical and atypical neurodevelopment. To build and evaluate a sleep-based, quantitative metric of brain maturation, we used whole-night polysomnography data, initially from two large National Sleep Research Resource samples, spanning childhood and adolescence (total N = 4,013, aged 2.5 to 17.5 years): the Childhood Adenotonsillectomy Trial (CHAT), a research study of children with snoring without neurodevelopmental delay, and Nationwide Children's Hospital (NCH) Sleep Databank, a pediatric sleep clinic cohort. Among children without neurodevelopmental disorders (NDD), sleep metrics derived from the electroencephalogram (EEG) displayed robust age-related changes consistently across datasets. During non-rapid eye movement (NREM) sleep, spindles and slow oscillations further exhibited characteristic developmental patterns, with respect to their rate of occurrence, temporal coupling and morphology. Based on these metrics in NCH, we constructed a model to predict an individual's chronological age. The model performed with high accuracy (r = 0.93 in the held-out NCH sample and r = 0.85 in a second independent replication sample - the Pediatric Adenotonsillectomy Trial for Snoring (PATS)). EEG-based age predictions reflected clinically meaningful neurodevelopmental differences; for example, children with NDD showed greater variability in predicted age, and children with Down syndrome or intellectual disability had significantly younger brain age predictions (respectively, 2.1 and 0.8 years less than their chronological age) compared to age-matched non-NDD children. Overall, our results indicate that sleep architectureoffers a sensitive window for characterizing brain maturation, suggesting the potential for scalable, objective sleep-based biomarkers to measure neurodevelopment.
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Affiliation(s)
- N Kozhemiako
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | - A W Buckley
- Sleep & Neurodevelopment Core, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - R D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - S Redline
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - S M Purcell
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA.
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6
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Benedetti D, Frati E, Kiss O, Yuksel D, Faraguna U, Hasler BP, Franzen PL, Clark DB, Baker FC, de Zambotti M. Performance evaluation of the open-source Yet Another Spindle Algorithm sleep staging algorithm against gold standard manual evaluation of polysomnographic records in adolescence. Sleep Health 2023; 9:910-924. [PMID: 37709595 PMCID: PMC11161906 DOI: 10.1016/j.sleh.2023.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 09/16/2023]
Abstract
GOAL AND AIMS To evaluate an automatic sleep scoring algorithm against manual polysomnography sleep scoring. FOCUS METHOD/TECHNOLOGY Yet Another Spindle Algorithm automatic sleep staging algorithm. REFERENCE METHOD/TECHNOLOGY Manual sleep scoring. SAMPLE 327 nights (151 healthy adolescents), from the NCANDA study. DESIGN Participants underwent one-to-three overnight polysomnography recordings, one consisting of an event-related-potential paradigm. CORE ANALYTICS Epoch by Epoch and discrepancy analyses (Bland Altman plots) were conducted on the overall sample. ADDITIONAL ANALYTICS AND EXPLORATORY ANALYSES Epoch by Epoch and discrepancy analysis were repeated separately on standard polysomnography nights and event-related potential nights. Regression models were estimated on age, sex, scorer, and site of recording, separately on standard polysomnography nights and event-related potential nights. CORE OUTCOMES The Yet Another Spindle Algorithm sleep scoring algorithm's average sensitivity of 93.04% for Wake, 87.67% for N2, 84.46% for N3, 86.02% for rapid-eye-movement, and 40.39% for N1. Specificity was 96.75% for Wake, 97.31% for N1, 88.87% for N2, 97.99% for N3, and 97.70% for rapid-eye-movement. The Matthews Correlation Coefficient was highest in rapid-eye-movement sleep (0.85) while lowest in N1 (0.39). Cohen's Kappa mirrored Matthews Correlation Coefficient results. In Bland-Altman plots, the bias between Yet Another Spindle Algorithm and human scoring showed proportionality to the manual scoring measurement size. IMPORTANT ADDITIONAL OUTCOMES Yet Another Spindle Algorithm performance was reduced in event-related-potential/polysomnography nights for N3 and rapid-eye-movement. According to the Matthews Correlation Coefficient, the Yet Another Spindle Algorithm performance was affected by younger age, male sex, recording sites, and scorers. CORE CONCLUSION Results support the use of Yet Another Spindle Algorithm to score adolescents' polysomnography sleep records, possibly with classification outcomes supervised by an expert scorer.
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Affiliation(s)
- Davide Benedetti
- Center for Health Sciences, SRI International, Menlo Park, California, USA; Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
| | - Emma Frati
- Center for Health Sciences, SRI International, Menlo Park, California, USA; Columbia College, Columbia University, NYC, New York, USA
| | - Orsolya Kiss
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Dilara Yuksel
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Ugo Faraguna
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Duncan B Clark
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA
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7
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Talwar P, Deantoni M, Van Egroo M, Muto V, Chylinski D, Koshmanova E, Jaspar M, Meyer C, Degueldre C, Berthomier C, Luxen A, Salmon E, Collette F, Dijk DJ, Schmidt C, Phillips C, Maquet P, Sherif S, Vandewalle G. In vivo marker of brainstem myelin is associated to quantitative sleep parameters in healthy young men. Sci Rep 2023; 13:20873. [PMID: 38012207 PMCID: PMC10682495 DOI: 10.1038/s41598-023-47753-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/17/2023] [Indexed: 11/29/2023] Open
Abstract
The regional integrity of brain subcortical structures has been implicated in sleep-wake regulation, however, their associations with sleep parameters remain largely unexplored. Here, we assessed association between quantitative Magnetic Resonance Imaging (qMRI)-derived marker of the myelin content of the brainstem and the variability in the sleep electrophysiology in a large sample of 18-to-31 years healthy young men (N = 321; ~ 22 years). Separate Generalized Additive Model for Location, Scale and Shape (GAMLSS) revealed that sleep onset latency and slow wave energy were significantly associated with MTsat estimates in the brainstem (pcorrected ≤ 0.03), with overall higher MTsat value associated with values reflecting better sleep quality. The association changed with age, however (MTsat-by-age interaction-pcorrected ≤ 0.03), with higher MTsat value linked to better values in the two sleep metrics in the younger individuals of our sample aged ~ 18 to 20 years. Similar associations were detected across different parts of the brainstem (pcorrected ≤ 0.03), suggesting that the overall maturation and integrity of the brainstem was associated with both sleep metrics. Our results suggest that myelination of the brainstem nuclei essential to regulation of sleep is associated with inter-individual differences in sleep characteristics during early adulthood. They may have implications for sleep disorders or neurological diseases related to myelin.
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Affiliation(s)
- Puneet Talwar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Michele Deantoni
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Vincenzo Muto
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Mathieu Jaspar
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christelle Meyer
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
| | - Christian Degueldre
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | | | - André Luxen
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - D-J Dijk
- Sleep Research Centre, University of Surrey, Guildford, UK
- UK Dementia Research Institute, University of Surrey, Guildford, UK
| | - Christina Schmidt
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- In Silico Medicine Unit, GIGA-Institute, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wallonia, Belgium
- Department of Neurology, CHU of Liège, Liège, Belgium
| | - Siya Sherif
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, CRC-In Vivo Imaging Unit, Bâtiment B30, Université de Liège, 4000, Liège, Belgium.
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8
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Albinni B, Baker FC, Javitz H, Hasler BP, Franzen PL, Clark DB, de Zambotti M. Morning perception of sleep, stress, and mood, and its relationship with overnight physiological sleep: findings from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study. J Sleep Res 2023; 32:e13886. [PMID: 36941027 PMCID: PMC10509318 DOI: 10.1111/jsr.13886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/23/2023]
Abstract
This cross-sectional study investigated objective-subjective sleep discrepancies and the physiological basis for morning perceptions of sleep, mood, and readiness, in adolescents. Data collected during a single in-laboratory polysomnographic assessment from 137 healthy adolescents (61 girls; age range: 12-21 years) in the United States National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study were analysed. Upon awakening, participants completed questionnaires assessing sleep quality, mood, and readiness. We evaluated the relationship between overnight polysomnographic, electroencephalographic, sleep autonomic nervous system functioning measures, and next morning self-reported indices. Results showed that older adolescents reported more awakenings, yet they perceived their sleep to be deeper and less restless than younger adolescents. Prediction models including sleep physiology measures (polysomnographic, electroencephalographic, and sleep autonomic nervous system) explained between 3% and 29% of morning sleep perception, mood, and readiness indices. The subjective experience of sleep is a complex phenomenon with multiple components. Distinct physiological sleep processes contribute to the morning perception of sleep and related measures of mood and readiness. More than 70% of the variance (based on a single observation per person) in the perception of sleep, mood, and morning readiness is not explained by overnight sleep-related physiological measures, suggesting that other factors are important for the subjective sleep experience.
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Affiliation(s)
- Benedetta Albinni
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Department of Psychology, University of Campania “Luigi Vanvitelli”
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Harold Javitz
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Brant P. Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Peter L. Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Duncan B. Clark
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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9
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Karuga FF, Kaczmarski P, Białasiewicz P, Szmyd B, Jaromirska J, Grzybowski F, Gebuza P, Sochal M, Gabryelska A. REM-OSA as a Tool to Understand Both the Architecture of Sleep and Pathogenesis of Sleep Apnea-Literature Review. J Clin Med 2023; 12:5907. [PMID: 37762848 PMCID: PMC10531579 DOI: 10.3390/jcm12185907] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/03/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Sleep is a complex physiological state, which can be divided into the non-rapid eye movement (NREM) phase and the REM phase. Both have some unique features and functions. This difference is best visible in electroencephalography recordings, respiratory system activity, arousals, autonomic nervous system activity, or metabolism. Obstructive sleep apnea (OSA) is a common condition characterized by recurrent episodes of pauses in breathing during sleep caused by blockage of the upper airways. This common condition has multifactorial ethiopathogenesis (e.g., anatomical predisposition, sex, obesity, and age). Within this heterogenous syndrome, some distinctive phenotypes sharing similar clinical features can be recognized, one of them being REM sleep predominant OSA (REM-OSA). The aim of this review was to describe the pathomechanism of REM-OSA phenotype, its specific clinical presentation, and its consequences. Available data suggest that in this group of patients, the severity of specific cardiovascular and metabolic complications is increased. Due to the impact of apneas and hypopneas predominance during REM sleep, patients are more prone to develop hypertension or glucose metabolism impairment. Additionally, due to the specific function of REM sleep, which is predominantly fragmented in the REM-OSA, this group presents with decreased neurocognitive performance, reflected in memory deterioration, and mood changes including depression. REM-OSA clinical diagnosis and treatment can alleviate these outcomes, surpassing the traditional treatment and focusing on a more personalized approach, such as using longer therapy of continuous positive airway pressure or oral appliance use.
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Affiliation(s)
- Filip Franciszek Karuga
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Kaczmarski
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Białasiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Bartosz Szmyd
- Department of Pediatrics, Oncology and Hematology, Medical University of Lodz, Sporna St. 36/50, 91-738 Lodz, Poland
- Department of Neurosurgery and Neuro-Oncology, Medical University of Lodz, Barlicki University Hospital, Kopcinskiego St. 22, 90-153 Lodz, Poland
| | - Julia Jaromirska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Filip Grzybowski
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Piotr Gebuza
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Marcin Sochal
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
| | - Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Mazowiecka St. 6/8, 92-251 Lodz, Poland (F.G.)
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Kiss O, Goldstone A, de Zambotti M, Yüksel D, Hasler BP, Franzen PL, Brown SA, De Bellis MD, Nagel BJ, Nooner KB, Tapert SF, Colrain IM, Clark DB, Baker FC. Effects of emerging alcohol use on developmental trajectories of functional sleep measures in adolescents. Sleep 2023; 46:zsad113. [PMID: 37058610 PMCID: PMC10848227 DOI: 10.1093/sleep/zsad113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/17/2023] [Indexed: 04/16/2023] Open
Abstract
STUDY OBJECTIVES Adolescence is characterized by significant brain development, accompanied by changes in sleep timing and architecture. It also is a period of profound psychosocial changes, including the initiation of alcohol use; however, it is unknown how alcohol use affects sleep architecture in the context of adolescent development. We tracked developmental changes in polysomnographic (PSG) and electroencephalographic (EEG) sleep measures and their relationship with emergent alcohol use in adolescents considering confounding effects (e.g. cannabis use). METHODS Adolescents (n = 94, 43% female, age: 12-21 years) in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study had annual laboratory PSG recordings across 4-years. Participants were no/low drinkers at baseline. RESULTS Linear mixed effect models showed developmental changes in sleep macrostructure and EEG, including a decrease in slow wave sleep and slow wave (delta) EEG activity with advancing age. Emergent moderate/heavy alcohol use across three follow-up years was associated with a decline in percentage rapid eye movement (REM) sleep over time, a longer sleep onset latency (SOL) and shorter total sleep time (TST) in older adolescents, and lower non-REM delta and theta power in males. CONCLUSIONS These longitudinal data show substantial developmental changes in sleep architecture. Emergent alcohol use during this period was associated with altered sleep continuity, architecture, and EEG measures, with some effects dependent on age and sex. These effects, in part, could be attributed to the effects of alcohol on underlying brain maturation processes involved in sleep-wake regulation.
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Affiliation(s)
- Orsolya Kiss
- Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA, USA
| | - Aimée Goldstone
- Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA, USA
| | | | - Dilara Yüksel
- Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA, USA
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sandra A Brown
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Michael D De Bellis
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Bonnie J Nagel
- School of Medicine, Division of Clinical Psychology, Oregon Health and Sciences University, Portland, OR, USA
| | - Kate B Nooner
- Psychology Department, University of North Carolina Wilmington, Wilmington, NC, USA
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Ian M Colrain
- Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA, USA
| | - Duncan B Clark
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Fiona C Baker
- Center for Health Sciences, Bioscience Division, SRI International, Menlo Park, CA, USA
- Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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11
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Zahr NM, Sullivan EV, Pfefferbaum A. Poor subjective sleep reported by people living with HIV is associated with impaired working memory. NEUROIMMUNE PHARMACOLOGY AND THERAPEUTICS 2023; 2:127-137. [PMID: 37946876 PMCID: PMC10635409 DOI: 10.1515/nipt-2023-0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Poor sleep can undermine health and may be especially disruptive to those with chronic conditions including HIV infection. Here, clinically well-described people living with HIV [PLWH] (74 men, 35 women) and healthy control (38 men, 35 women) participants were administered the Pittsburgh Sleep Quality Index (PSQI), a validated measure of subjective sleep with a global score ≥5 able to distinguish good from poor sleepers. In addition, participants completed a battery of neuropsychological tests. PLWH (6.8 ± 3.7) had higher global PSQI scores than healthy controls (4.1 ± 2.8): 39.7 % of uninfected controls and 68.8 % of PLWH had a PSQI≥5 indicative of poor sleep. There were no relations between the global PSQI score and any evaluated variables among uninfected individuals or with demographic or HIV-related variables in PLWH. Instead, a higher global PSQI score among PLWH was associated with worse "Quality of Life" scores [Global Assessment of Functioning (GAF, p=0.0007), Medical Outcomes Study survey (21-item short form, SF-21, p<0.0001), and Activities of Daily Living-Instrumental (ADL-I, p=0.0041)] and higher Beck Depression Index (BDI, p<0.0001) depressive symptoms. Further, in PLWH, higher global PSQI scores were associated with poor performance on a working memory task, the digit backward span (p=0.0036). In PLWH, the 5 variables together explained 32.3 % of the global PSQI score variance; only 3 variables - the SF-21, BDI, and digit backward scores - explained 30.6 % of the variance. To the extent that poor subjective sleep contributes to impaired working memory in HIV, we speculate that this impairment may be ameliorated by improved sleep health.
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Affiliation(s)
- Natalie M. Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Neuroscience Program, SRI International, Menlo Park CA, USA
| | - Edith V. Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
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12
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Menghini L, Yuksel D, Prouty D, Baker FC, King C, de Zambotti M. Wearable and mobile technology to characterize daily patterns of sleep, stress, presleep worry, and mood in adolescent insomnia. Sleep Health 2023; 9:108-116. [PMID: 36567194 PMCID: PMC10031683 DOI: 10.1016/j.sleh.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 10/20/2022] [Accepted: 11/15/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Characterizing daily patterns of sleep, stress, presleep worry, and mood in adolescents with and without insomnia symptomatology. DESIGN Two months of continuous wearable tracking and daily diary ratings. SETTING Free-living conditions. PARTICIPANTS Ninety-three adolescents (59 girls; 16-19 years old) with (N = 47; 26 with clinical and 21 with sub-clinical) and without (N = 46; control) DSM-5 insomnia symptomatology. MEASUREMENTS Fitbit Charge 3 tracked sleep, heart rate, and steps. Evening electronic diaries collected ratings of daily stress, presleep worry, and mood. RESULTS While sleep duration (control: 6.88 ± 1.41 hours; insomnia: 6.92 ± 1.28 hours), architecture, timing, and night-to-night variability were similar between groups, the insomnia group reported higher levels of stress and worry, being mainly related to "school". At the intraindividual level, stress and worry predicted shorter sleep duration and earlier wake up times, which, in turn, predicted higher stress the following day. Moreover, higher-than-usual stress predicted higher sleep-time heart rate, with a more consistent effect in adolescents with insomnia. Results were overall consistent after controlling for covariates and several robustness checks. CONCLUSIONS There is a bidirectional relationship between daily stress and sleep, with daily stress negatively impacting sleep, which in turn leads to more stress in adolescents with and without insomnia symptoms. Findings also highlight the complexity of insomnia in adolescence, in which the core clinical features (perceived sleep difficulties) and the critical factors (stress/worry) implicated in the pathophysiology of the disorder are not necessarily reflected in objective sleep indicators.
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Affiliation(s)
- Luca Menghini
- Department of General Psychology, University of Padova, Padova, Italy
| | - Dilara Yuksel
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Devin Prouty
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA; Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Christopher King
- Department of Pediatrics, University of Cincinnati College of Medicine; Division of Behavioral Medicine and Clinical Psychology, Pediatric Pain Research Center (PPRC), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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13
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Langenberg SCN, Kocevska D, Luik AI. The multidimensionality of sleep in population‐based samples: a narrative review. J Sleep Res 2022; 31:e13608. [PMID: 35429087 PMCID: PMC9339471 DOI: 10.1111/jsr.13608] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 12/03/2022]
Abstract
The identification of optimal sleep duration recommendations for the general population has long been an important goal on the public health agenda, as both short and long sleep duration have been linked to unfavourable health outcomes. Yet, sleep is more than duration alone and can be described across multiple domains, such as timing, regularity, satisfaction, alertness, and efficiency. We reviewed observational population‐based studies that examined differences in age, sex, and origin across multiple dimensions of sleep. Reviewed literature suggests an increasing prevalence of insomnia symptoms, shorter and less deep sleep in old age. Overall, women report poorer sleep quality than men despite objective measures revealing shorter and more fragmented sleep in men. Minorities generally have poorer quantity and quality of sleep, but multi‐ethnic studies have reported mixed results regarding the subjective experience of sleep. In sum, effects of age, sex and origin differ across sleep dimensions, thereby suggesting that the multidimensionality of sleep and how these different aspects interact should be studied across individuals. Studies should include both self‐reported measures and objective assessments in diverse population‐based samples, as both aspects are important to understand sleep health in the general population. Data‐driven descriptions could provide researchers and clinicians with insights into how well individuals are sleeping and offer concrete targets for promotion of sleep health across the population.
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Affiliation(s)
| | - Desana Kocevska
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands
- Department of Sleep and Cognition Netherlands Institute for Neuroscience Amsterdam the Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology Erasmus MC University Medical Center Rotterdam the Netherlands
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14
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Brumback T, Thompson W, Cummins K, Brown S, Tapert S. Psychosocial predictors of substance use in adolescents and young adults: Longitudinal risk and protective factors. Addict Behav 2021; 121:106985. [PMID: 34087768 PMCID: PMC8240028 DOI: 10.1016/j.addbeh.2021.106985] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/01/2021] [Accepted: 05/08/2021] [Indexed: 11/26/2022]
Abstract
Many psychosocial factors have been implicated in the onset and escalation of substance use in adolescence and young adulthood. Typically, each factor explains a small amount of the variance in substance use outcomes, and effects are typically applied across a broad range of ages or computed from cross-sectional data. The current study evaluated the association of factors including social influence (e.g., peer substance use), cognitive features (e.g., alcohol expectancies), and personality and emotional characteristics (e.g., impulsivity and typical responses to stress) in substance use throughout adolescence and emerging adulthood (ages 13-25; N = 798). Mixed-effects models tailored for the accelerated longitudinal design employed in this study were constructed with psychosocial and developmental factors predicting alcohol and cannabis use. As most participants in the sample exhibited little or no substance use at baseline by design, we excluded baseline assessments and examined data from follow-up years 1, 2, 3, and 4. Interactions between age cohort, change in age, and psychosocial predictors of substance use revealed differing associations over the developmental window for alcohol and cannabis use. For example, positive alcohol expectancies and sensation seeking were most strongly associated with greater drinking after age 18, whereas sensation seeking was associated with increased cannabis use as early as age 15. Higher emotion regulation skills led to less cannabis use in younger ages (i.e., shallower slopes below age 17), but this protective effect diminished after age 17. Results highlight developmentally important factors that differentially contribute to substance use in adolescence and young adulthood. We also demonstrate the importance of developmentally sensitive analyses that maximize the value of data from accelerated longitudinal designs.
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Affiliation(s)
- Ty Brumback
- Northern Kentucky University, United States.
| | | | | | - Sandra Brown
- University of California, San Diego, United States
| | - Susan Tapert
- University of California, San Diego, United States
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15
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McManus B, Underhill A, Mrug S, Anthony T, Stavrinos D. Gender moderates the relationship between media use and sleep quality. J Sleep Res 2021; 30:e13243. [PMID: 33258217 PMCID: PMC8164643 DOI: 10.1111/jsr.13243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 09/25/2020] [Accepted: 10/29/2020] [Indexed: 11/27/2022]
Abstract
With high screen time and poor sleep commonly reported in adolescents, it is important to more fully understand how screen time impacts sleep. Despite similar overall screen times, male and female media preferences and usages differ, making it critical to determine if different domains of screen time differentially affect sleep quality. The present study examined whether differing amounts and domains of screen-based media vary in impact on sleep quality of 16-year-old male and female adolescents over a 3-month period. A total of 98 adolescents (mean [SD] age 16.27 [0.29] years; 51% female) completed two online surveys spaced 3 months apart and comprised of well-validated self-reported measures of sleep quality, media usage, and depressive symptoms. The various domains of media were categorised into screen-based media with little-to-no peer-to-peer interaction involved (video-only) and screen-based media with interaction a predominant component to the usage (peer-to-peer interaction-involved). Self-reported sleep quality decreased across the 3-month study period. Gender moderated the effect of interactive screen time on sleep quality 3 months later, with interactive screen time associated with better sleep quality in males, but remaining poorer in females. Screen time competes with sleep time and may do so differentially depending on the media domain. Compared to females, interactive components of screen time may lessen worsening sleep quality over time in males. Understanding the relationships among screen time, its content, age, and gender may inform guidelines for educators, parents, and adolescents to help improve sleep quality of adolescents.
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Affiliation(s)
| | | | - Sylvie Mrug
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Thomas Anthony
- University of Alabama at Birmingham, Birmingham, AL, USA
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16
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Sex and Pubertal Differences in the Maturational Trajectories of Sleep Spindles in the Transition from Childhood to Adolescence: A Population-Based Study. eNeuro 2021; 8:ENEURO.0257-21.2021. [PMID: 34168053 PMCID: PMC8281264 DOI: 10.1523/eneuro.0257-21.2021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/10/2021] [Indexed: 11/21/2022] Open
Abstract
Sleep spindles, bursts of electroencephalogram (EEG) activity in the σ-frequency (11–16 Hz) range, may be biomarkers of cortical development. Studies capturing the transition to adolescence are needed to delineate age-related, sex-related, and pubertal-related changes in sleep spindles at the population-level. We analyzed the sleep EEG of 572 subjects 6–21 years (48% female) and 332 subjects 5–12 years (46% female) followed-up at 12–22 years. From 6 to 21 years, spindle density (p quadratic = 0.019) and fast (12–16 Hz) spindle percent (p quadratic = 0.016) showed inverted U-shaped trajectories, with plateaus after 15 and 19 years, respectively. Spindle frequency increased (p linear < 0.001), while spindle power decreased (p linear < 0.001) from 6 to 21 years. The trajectories of spindle density, frequency, and fast spindle percent diverged between females and males, in whom density plateaued by 14 years, fast spindle percent by 16 years, and frequency by 18 years, while fast spindle percent and spindle frequency continued to increase until 21 years in females. Males experienced a longitudinal increase in spindle density 31% greater than females by 12–14 years (p = 0.006). Females experienced an increase in spindle frequency and fast spindle percent 2% and 41% greater, respectively, than males by 18–22 years (both p = 0.004), while males experienced a 14% greater decline in spindle power by 18–22 years (p = 0.018). Less mature adolescents (86% male) experienced a longitudinal increase in spindle density 36% greater than mature adolescents by 12–14 years (p = 0.002). Overall, males experience greater maturational changes in spindle density in the transition to adolescence, driven by later pubertal development, and sex differences become prominent in early adulthood when females have greater spindle power, frequency, and fast spindle percent.
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17
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Slow Wave Sleep of Elite and Nonelite Gymnasts Is Influenced by Weekly Training Hours, Not by Fitness Level. Int J Sports Physiol Perform 2021; 17:2-8. [PMID: 34225253 DOI: 10.1123/ijspp.2020-0930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/30/2021] [Accepted: 03/30/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE This study aimed to determine the influencing factors of potential differences in sleep architecture between elite (EG) and nonelite (NEG) female artistic gymnasts. METHODS Twelve EG (15.1 [1.5] y old) and 10 NEG (15.3 [1.8] y old) underwent a nocturnal polysomnography after a regular training day (5.8 [0.8] h vs 2.6 [0.7] h), and, on a separate test day, they performed an incremental treadmill test after a rest day in order to determine physical fitness status. A multiple linear regression assessed the predictive value of training and fitness parameters toward the different sleep phases. Total sleep time and sleep efficiency (proportion of time effectively asleep to time in bed), as well as percentage of nonrapid eye movement sleep phase 1 (NREM1) and 2 (NREM2), slow wave sleep (SWS), and rapid eye movement sleep (REM), during a single night were compared between EG and NEG using an independent-samples t test. RESULTS Peak oxygen uptake influenced NREM1 (β = 1.035, P = .033), while amount of weekly training hours predicted SWS (β = 1.897, P = .032). No differences were documented between EG and NEG in total sleep time and sleep efficiency. SWS was higher in EG (36.9% [11.4%]) compared with NEG (25.9% [8.3%], P = .020), compensated by a lower proportion of NREM2 (38.7% [10.2%] vs 48.4% [6.5%], P = .017), without differences in NREM1 and REM. CONCLUSIONS The proportion of SWS was only predicted by weekly training hours and not by training hours the day of the polysomnography or physical fitness, while NREM1 was linked with fitness level. Sleep efficiency did not differ between EG and NEG, but in EG, more SWS and less NREM2 were identified.
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18
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Kinoshita Y, Itani O, Otsuka Y, Matsumoto Y, Nakagome S, Osaki Y, Higuchi S, Jike M, Kanda H, Kaneita Y. A nationwide cross-sectional study of difficulty waking up for school among adolescents. Sleep 2021; 44:6308088. [PMID: 34159386 DOI: 10.1093/sleep/zsab157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 06/15/2021] [Indexed: 12/24/2022] Open
Abstract
STUDY OBJECTIVES To determine the prevalence of and risk-factors for difficulty waking up for school among adolescents. METHODS We used a self-administered questionnaire (140 junior high schools [JHSs]; 124 senior high schools [SHSs]) selected randomly in 2012 from throughout Japan. RESULTS Total response rate: 60.7%. Data from 38,494 JHS and 61,556 SHS students were analyzed. The prevalence of at least one instance of school tardiness/absence due to difficulty waking up over a 30-day period was 10.9(95% confidence-interval:10.5-11.3)%/2.9(2.7-3.1)% for JHS-boys and 7.7(7.3-8.1)%/2.0(1.8-2.2)% for JHS-girls. The prevalence was 15.5(15.1-15.9)%/5.6(5.3-5.9)% for SHS-boys and 14.4(14.0-14.8)%/5.9(5.6-6.2)% for SHS-girls. We used ordinal regression to identify the risk factors associated with the experience of school tardiness/absence. Factors significantly associated with school tardiness in all four groups (JHS boys/girls, SHS boys/girls) were "no-participation-in-club-activities," "early-morning-awakening," "feeling bad throughout a morning," "drinking," and "smoking." Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 5.30(3.57-7.85). Factors significantly associated with school absence in all four groups were "no wishing to go to university," "no participation in club activities," "disorders of initiating and maintaining sleep," "long internet use," "drinking," "smoking," "poor-mental-health" and "feeling bad throughout a morning." Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 4.60(3.45-6.15). CONCLUSIONS These results suggest that the risk factors for difficulty waking up among adolescents are sleep status, lifestyle, and mental health, which can indicate the presence of an underlying disease.
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Affiliation(s)
- Yu Kinoshita
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
| | - Osamu Itani
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
| | - Yuichiro Otsuka
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
| | - Yuuki Matsumoto
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
| | - Sachi Nakagome
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
| | - Yoneatsu Osaki
- Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine Tottori University
| | - Susumu Higuchi
- National Hospital Organization Kurihama Medical and Addiction Center
| | - Maki Jike
- Department of Food Safety and Management, Faculty of Food and Health Sciences, Showa Women's University
| | - Hideyuki Kanda
- Department of Public Health, Okayama University Graduate School of Medicine Dentistry and Pharmaceutical Sciences
| | - Yoshitaka Kaneita
- Division of Public Health, Department of Social Medicine, Nihon University School of Medicine
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19
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Yoon JE, Oh D, Hwang I, Park JA, Im HJ, Lee SK, Jung KY, Park SH, Thomas RJ, Shin C, Yun CH. Sleep structure and electroencephalographic spectral power of middle-aged or older adults: Normative values by age and sex in the Korean population. J Sleep Res 2021; 30:e13358. [PMID: 33949014 DOI: 10.1111/jsr.13358] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 03/23/2021] [Accepted: 03/29/2021] [Indexed: 11/28/2022]
Abstract
The fine structure of sleep electrocortical activity reflects health and disease. The current study provides normative data for sleep structure and electroencephalography (EEG) spectral power measures derived from overnight polysomnography (PSG) and examines the effect of age and sex among Korean middle-aged and older adults with or without obstructive sleep apnea (OSA). We analysed home PSG data from 1,153 adult participants of an ongoing population-based cohort study, the Korean Genome and Epidemiology Study. Sleep stages were visually scored and spectral power was measured on a single-channel EEG (C4-A1). We computed spectral power for five frequency ranges. The EEG power was reported in relative (%) and log-transformed absolute values (µV2 ). With ageing, the proportion of N1 sleep increased, whereas N3 decreased, which is more noticeable in men than in women. The amount of N3 was relatively low in this cohort. With ageing, relative delta power decreased and alpha and sigma power increased for the whole sleep period, which was more pronounced during REM sleep in non-OSA. For men compared with women, relative theta power was lower during REM and sigma and beta were higher during N1 sleep. The differences of relative powers by age and sex in OSA were comparable to those in non-OSA. In a community-based Korean population, we present normative data of sleep structure and spectral power for middle-aged or older adults of a non-Caucasian ethnicity. The values varied with age and sex and were not influenced by sleep apnea.
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Affiliation(s)
- Jee-Eun Yoon
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Korea
| | - Dana Oh
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Inha Hwang
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jung Ah Park
- Department of Neurology, School of Medicine, Catholic University of Daegu, Daegu, Korea
| | - Hee-Jin Im
- Department of Neurology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea
| | - Seung Ku Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Seong-Ho Park
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Robert J Thomas
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, USA
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea.,Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Chang-Ho Yun
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
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20
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de Zambotti M, Goldstone A, Forouzanfar M, Javitz H, Claudatos S, Colrain IM, Baker FC. The falling asleep process in adolescents. Sleep 2021; 43:5686157. [PMID: 31872251 DOI: 10.1093/sleep/zsz312] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/03/2019] [Indexed: 01/25/2023] Open
Abstract
STUDY OBJECTIVES To investigate the pre-sleep psychophysiological state and the arousal deactivation process across the sleep onset (SO) transition in adolescents. METHODS Data were collected from a laboratory overnight recording in 102 healthy adolescents (48 girls, 12-20 years old). Measures included pre-sleep self-reported cognitive/somatic arousal, and cortical electroencephalographic (EEG) and electrocardiographic activity across the SO transition. RESULTS Adolescent girls, compared with boys, reported higher pre-sleep cognitive activation (p = 0.025) and took longer to fall asleep (p < 0.05), as defined with polysomnography. Girls also showed a less smooth progression from wake-to-sleep compared with boys (p = 0.022). In both sexes, heart rate (HR) dropped at a rate of ~0.52 beats per minute in the 5 minutes preceding SO, and continued to drop, at a slower rate, during the 5 minutes following SO (p < 0.05). Older girls had a higher HR overall in the pre-sleep period and across SO, compared to younger girls and boys (p < 0.05). The EEG showed a progressive cortical synchronization, with increases in Delta relative power and reductions in Alpha, Sigma, Beta1, and Beta2 relative powers (p < 0.05) in the approach to sleep, in both sexes. Delta relative power was lower and Theta, Alpha, and Sigma relative powers were higher in older compared to younger adolescents at bedtime and across SO (p < 0.05). CONCLUSIONS Our findings show the dynamics of the cortical-cardiac de-arousing process across the SO transition in a non-clinical sample of healthy adolescents. Findings suggest a female-specific vulnerability to inefficient sleep initiation, which may contribute to their greater risk for developing insomnia.
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Affiliation(s)
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA
| | | | - Harold Javitz
- Center for Health Sciences, SRI International, Menlo Park, CA
| | | | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA.,Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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21
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Gender differences in adolescent sleep neurophysiology: a high-density sleep EEG study. Sci Rep 2020; 10:15935. [PMID: 32985555 PMCID: PMC7522718 DOI: 10.1038/s41598-020-72802-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 07/27/2020] [Indexed: 12/21/2022] Open
Abstract
During adolescence, differences between males and females in physiology, behavior and risk for psychopathology are accentuated. The goal of the current study was to examine gender differences in sleep neurophysiology using high-density sleep EEG in early adolescence. We examined gender differences in sleep EEG power and coherence across frequency bands for both NREM and REM sleep in a sample of 61 adolescents (31 girls and 30 boys; mean age = 12.48; SD = 1.34). In addition, sleep spindles were individually detected and characterized. Compared to boys, girls had significantly greater spindle activity, as reflected in higher NREM sigma power, spindle amplitude, spindle frequency and spindle density over widespread regions. Furthermore, power in higher frequency bands (16.2–44 Hz) was larger in girls than boys in a state independent manner. Oscillatory activity across frequency bands and sleep states was generally more coherent in females as compared to males, suggesting greater connectivity in females. An exception to this finding was the alpha band during NREM and REM sleep, where coherence was higher (NREM) or not different (REM) in boys compared to girls. Sleep spindles are generated through thalamocortical circuits, and thus, the greater spindle activity across regions in females may represent a stronger thalamocortical circuit in adolescent females as compared to males. Moreover, greater global connectivity in females may reflect functional brain differences with implications for cognition and mental health. Given the pronounced gender differences, our study highlights the importance of taking gender into account when designing and interpreting studies of sleep neurophysiology.
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Yuksel D, Baker FC, Goldstone A, Claudatos SA, Forouzanfar M, Prouty DE, Colrain IM, de Zambotti M. Stress, sleep, and autonomic function in healthy adolescent girls and boys: Findings from the NCANDA study. Sleep Health 2020; 7:72-78. [PMID: 32732156 DOI: 10.1016/j.sleh.2020.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Starting in adolescence, female sex is a strong risk factor for the development of insomnia. Reasons for this are unclear but could involve altered stress reactivity and/or autonomic nervous system (ANS) dysregulation, which are strongly associated with the pathophysiology of insomnia. We investigated sex differences in the effect of stress on sleep and ANS activity in adolescents, using the first night in the laboratory as an experimental sleep-related stressor. DESIGN Repeated measures (first night vs. a subsequent night) with age (older/younger) and sex (males/females) as between factors. SETTING Recordings were performed at the human sleep laboratory at SRI International. PARTICIPANTS One hundred six healthy adolescents (Age, mean ± SD: 15.2 ± 2.0 years; 57 boys). MEASURES Polysomnographic sleep, nocturnal heart rate (HR), and frequency-domain spectral ANS HR variability (HRV) indices. RESULTS Boys and girls showed a first-night effect, characterized by lower sleep efficiency, lower %N1 and %N2 sleep, more wake after sleep onset and %N3 sleep, altered sleep microstructure (increased high-frequency sigma and Beta1 electroencephalographic activity), and reduced vagal activity (P < .05) on the first laboratory night compared to a subsequent night. The first night ANS stress effect (increases in HR and suppression in vagal HRV during rapid eye movement sleep) was greater in girls than boys (P < .05). CONCLUSIONS Sleep and ANS activity were altered during the first laboratory night in adolescents, with girls exhibiting greater ANS alterations than boys. Findings suggest that girls may be more vulnerable than boys to sleep-specific stressors, which could contribute to their increased risk for developing stress-related sleep disturbances.
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Affiliation(s)
- Dilara Yuksel
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA; Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | | | | | - Devin E Prouty
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, California, USA; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
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23
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Alfonsi V, Scarpelli S, D’Atri A, Stella G, De Gennaro L. Later School Start Time: The Impact of Sleep on Academic Performance and Health in the Adolescent Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17072574. [PMID: 32283688 PMCID: PMC7177233 DOI: 10.3390/ijerph17072574] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 02/05/2023]
Abstract
The crucial role of sleep in physical and mental health is well known, especially during the developmental period. In recent years, there has been a growing interest in examining the relationship between sleep patterns and school performance in adolescents. At this stage of life, several environmental and biological factors may affect both circadian and homeostatic regulation of sleep. A large part of this population does not experience adequate sleep, leading to chronic sleep restriction and/or disrupted sleep–wake cycles. Studies investigating the effects of different sleep–wake schedules on academic achievement showed that impaired sleep quality and quantity are associated with decreased learning ability and compromised daytime functioning. This review focuses on the most recent studies that evaluated the effects of modified school start time on sleep patterns and related outcomes. Moreover, based on the available empirical evidence, we intend to propose a direction for future studies targeted to implement prevention or treatment programs by modifying sleep timing.
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Affiliation(s)
- Valentina Alfonsi
- Department of Psychology, University of Rome Sapienza, 00185 Rome, Italy; (V.A.); (A.D.)
- IRCCS Fondazione Santa Lucia, 00179 Rome, Italy;
| | | | - Aurora D’Atri
- Department of Psychology, University of Rome Sapienza, 00185 Rome, Italy; (V.A.); (A.D.)
| | - Giacomo Stella
- Department of Education and Human Sciences, University of Modena and Reggio Emilia, 42121 Reggio Emilia, Italy;
| | - Luigi De Gennaro
- Department of Psychology, University of Rome Sapienza, 00185 Rome, Italy; (V.A.); (A.D.)
- IRCCS Fondazione Santa Lucia, 00179 Rome, Italy;
- Correspondence: ; Tel.: +39-06-49917647
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24
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Gorgoni M, D'Atri A, Scarpelli S, Reda F, De Gennaro L. Sleep electroencephalography and brain maturation: developmental trajectories and the relation with cognitive functioning. Sleep Med 2020; 66:33-50. [PMID: 31786427 DOI: 10.1016/j.sleep.2019.06.025] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 06/24/2019] [Accepted: 06/25/2019] [Indexed: 02/06/2023]
Affiliation(s)
- M Gorgoni
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - A D'Atri
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - S Scarpelli
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - F Reda
- Department of Psychology, University of Rome "Sapienza", Rome, Italy
| | - L De Gennaro
- Department of Psychology, University of Rome "Sapienza", Rome, Italy; IRCCS Santa Lucia Foundation, Rome, Italy.
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Associations between cognitive performance and sigma power during sleep in children with attention-deficit/hyperactivity disorder, healthy children, and healthy adults. PLoS One 2019; 14:e0224166. [PMID: 31648258 PMCID: PMC6812820 DOI: 10.1371/journal.pone.0224166] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 10/06/2019] [Indexed: 01/07/2023] Open
Abstract
Sigma power during sleep is associated with cognitive abilities in healthy humans. We examined the relationship between sigma power in sleep EEG and intelligence and alertness in schoolchildren with ADHD (n = 17) in comparison to mentally healthy children (n = 16) and adults (n = 23). We observed a positive correlation between sigma power in sleep stage 2 and IQ in healthy adults but a negative correlation in children with ADHD. Furthermore, children with ADHD showed slower reaction times in alertness testing than both control groups. In contrast, only healthy children displayed a positive correlation between sigma power and reaction times. These data suggest that the associations between sigma power and cognitive performance underlie distinct developmental processes. A negative association between IQ and sigma power indicates a disturbed function of sleep in cognitive functions in ADHD, whereas the function of sleep appears to be matured early in case of motor-related alertness performance.
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Claudatos S, Baker FC, Hasler BP. Relevance of Sleep and Circadian Rhythms to Adolescent Substance Use. CURRENT ADDICTION REPORTS 2019. [DOI: 10.1007/s40429-019-00277-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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27
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Disturbed Sleep as a Mechanism of Race Differences in Nocturnal Blood Pressure Non-Dipping. Curr Hypertens Rep 2019; 21:51. [DOI: 10.1007/s11906-019-0954-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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28
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Goldstone A, Willoughby AR, de Zambotti M, Clark DB, Sullivan EV, Hasler BP, Franzen PL, Prouty DE, Colrain IM, Baker FC. Sleep spindle characteristics in adolescents. Clin Neurophysiol 2019; 130:893-902. [PMID: 30981174 DOI: 10.1016/j.clinph.2019.02.019] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/12/2019] [Accepted: 02/23/2019] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Sleep changes substantially during adolescence; however, our understanding of age-related differences in specific electroencephalographic waveforms during this developmental period is limited. METHOD Sigma power, spindle characteristics and cognitive data were calculated for fast (∼13 Hz) central and slow (∼11 Hz) frontal sleep spindles for a large cross-sectional sample of adolescents (N = 134, aged 12-21 years, from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study). RESULTS Older age (and advanced pubertal development) was associated with lower absolute sigma power and greater fast spindle density, with spindles having a shorter duration and smaller amplitude and occurring at a faster average frequency than at a younger age. Spindle characteristics were not directly associated with cognition. An indirect relationship (age * density) provided some evidence for an association between better episodic memory performance and greater spindle density only for younger adolescents. CONCLUSION Spindle characteristics in adolescents differed according to age, possibly reflecting underlying differences in thalamo-cortical connectivity, and may play a role in episodic memory early in adolescence. SIGNIFICANCE Sleep spindles may serve as a marker of adolescent development, likely reflecting brain maturational status. Investigating specific spindle characteristics, in addition to sigma power, is necessary to fully characterize spindles during adolescence.
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Affiliation(s)
- Aimée Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA, USA.
| | | | | | - Duncan B Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Brant P Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter L Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Devin E Prouty
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA, USA; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA; Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
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29
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de Zambotti M, Rosas L, Colrain IM, Baker FC. The Sleep of the Ring: Comparison of the ŌURA Sleep Tracker Against Polysomnography. Behav Sleep Med 2019; 17:124-136. [PMID: 28323455 PMCID: PMC6095823 DOI: 10.1080/15402002.2017.1300587] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Objective/Background: To evaluate the performance of a multisensor sleep-tracker (ŌURA ring) against polysomnography (PSG) in measuring sleep and sleep stages. Participants: Forty-one healthy adolescents and young adults (13 females; Age: 17.2 ± 2.4 years). Methods: Sleep data were recorded using the ŌURA ring and standard PSG on a single laboratory overnight. Metrics were compared using Bland-Altman plots and epoch-by-epoch (EBE) analysis. Results: Summary variables for sleep onset latency (SOL), total sleep time (TST), and wake after sleep onset (WASO) were not different between ŌURA ring and PSG. PSG-ŌURA discrepancies for WASO were greater in participants with more PSG-defined WASO (p < .001). Compared with PSG, ŌURA ring underestimated PSG N3 (~20 min) and overestimated PSG REM (~17 min; p < .05). PSG-ŌURA differences for TST and WASO lay within the ≤ 30 min a-priori-set clinically satisfactory ranges for 87.8% and 85.4% of the sample, respectively. From EBE analysis, ŌURA ring had a 96% sensitivity to detect sleep, and agreement of 65%, 51%, and 61%, in detecting "light sleep" (N1), "deep sleep" (N2 + N3), and REM sleep, respectively. Specificity in detecting wake was 48%. Similarly to PSG-N3 (p < .001), "deep sleep" detected with the ŌURA ring was negatively correlated with advancing age (p = .001). ŌURA ring correctly categorized 90.9%, 81.3%, and 92.9% into PSG-defined TST ranges of < 6 hr, 6-7 hr, > 7 hr, respectively. Conclusions: Multisensor sleep trackers, such as the ŌURA ring have the potential for detecting outcomes beyond binary sleep-wake using sources of information in addition to motion. While these first results could be viewed as promising, future development and validation are needed.
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Affiliation(s)
- Massimiliano de Zambotti
- 1. Center for Health Sciences, SRI International, Menlo Park, CA, USA,Corresponding author: Massimiliano de Zambotti, PhD, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025.
| | - Leonardo Rosas
- 1. Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Ian M. Colrain
- 1. Center for Health Sciences, SRI International, Menlo Park, CA, USA,2. Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Fiona C. Baker
- 1. Center for Health Sciences, SRI International, Menlo Park, CA, USA,3. Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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30
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Kuula L, Tamminen J, Makkonen T, Merikanto I, Räikkönen K, Pesonen AK. Higher sleep spindle activity is associated with fewer false memories in adolescent girls. Neurobiol Learn Mem 2018; 157:96-105. [PMID: 30553019 DOI: 10.1016/j.nlm.2018.12.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/14/2018] [Accepted: 12/12/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND Sleep facilitates the extraction of semantic regularities amongst newly encoded memories, which may also lead to increased false memories. We investigated sleep stage proportions and sleep spindles in the recollection of adolescents' false memories, and their potential sex-specific differences. METHODS 196 adolescents (mean age 16.9 y; SD = 0.1, 61% girls) underwent the Deese, Roediger & McDermott (DRM) false memory procedure and overnight polysomnography, with free recall the following morning. Sleep was scored manually into stages 1, 2, 3 and REM. Stage 2 sleep spindle frequency, density, and peak amplitude were used as measures of spindle activity for slow (10-13 Hz) and fast (13-16 Hz) ranges. RESULTS In girls, a lower number of critical lures was associated with higher spindle frequency (p ≤ 0.01), density (p ≤ 0.01), and amplitude (p = 0.03). Additionally, girls' longer sleep duration was associated with more intrusion words (p = 0.03), but not with critical lures. These associations survived adjustment for age, pubertal status, and intelligence. No significant results emerged in boys. CONCLUSIONS In adolescent girls, higher spindle activity was associated with fewer critical lures being falsely recalled in the DRM paradigm. Unlike studies using adult participants, we did not observe any association between slow-wave sleep and false memory recollection.
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Affiliation(s)
- Liisa Kuula
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Jakke Tamminen
- Department of Psychology, Royal Holloway, University of London, United Kingdom
| | - Tommi Makkonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ilona Merikanto
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anu-Katriina Pesonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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31
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Logan RW, Hasler BP, Forbes EE, Franzen PL, Torregrossa MM, Huang YH, Buysse DJ, Clark DB, McClung CA. Impact of Sleep and Circadian Rhythms on Addiction Vulnerability in Adolescents. Biol Psychiatry 2018; 83:987-996. [PMID: 29373120 PMCID: PMC5972052 DOI: 10.1016/j.biopsych.2017.11.035] [Citation(s) in RCA: 126] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 10/18/2017] [Accepted: 11/22/2017] [Indexed: 12/11/2022]
Abstract
Sleep homeostasis and circadian function are important maintaining factors for optimal health and well-being. Conversely, sleep and circadian disruptions are implicated in a variety of adverse health outcomes, including substance use disorders. These risks are particularly salient during adolescence. Adolescents require 8 to 10 hours of sleep per night, although few consistently achieve these durations. A mismatch between developmental changes and social/environmental demands contributes to inadequate sleep. Homeostatic sleep drive takes longer to build, circadian rhythms naturally become delayed, and sensitivity to the phase-shifting effects of light increases, all of which lead to an evening preference (i.e., chronotype) during adolescence. In addition, school start times are often earlier in adolescence and the use of electronic devices at night increases, leading to disrupted sleep and circadian misalignment (i.e., social jet lag). Social factors (e.g., peer influence) and school demands further impact sleep and circadian rhythms. To cope with sleepiness, many teens regularly consume highly caffeinated energy drinks and other stimulants, creating further disruptions in sleep. Chronic sleep loss and circadian misalignment enhance developmental tendencies toward increased reward sensitivity and impulsivity, increasing the likelihood of engaging in risky behaviors and exacerbating the vulnerability to substance use and substance use disorders. We review the neurobiology of brain reward systems and the impact of sleep and circadian rhythms changes on addiction vulnerability in adolescence and suggest areas that warrant additional research.
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Affiliation(s)
- Ryan W Logan
- Translational Neuroscience Program, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Center for Neuroscience, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; The Jackson Laboratory, Bar Harbor, Maine
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary M Torregrossa
- Translational Neuroscience Program, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Center for Neuroscience, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yanhua H Huang
- Translational Neuroscience Program, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Center for Neuroscience, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Duncan B Clark
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Colleen A McClung
- Translational Neuroscience Program, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Center for Neuroscience, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; The Jackson Laboratory, Bar Harbor, Maine.
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Markovic A, Achermann P, Rusterholz T, Tarokh L. Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study. Sci Rep 2018; 8:7334. [PMID: 29743546 PMCID: PMC5943340 DOI: 10.1038/s41598-018-25590-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 04/16/2018] [Indexed: 01/12/2023] Open
Abstract
The topographic distribution of sleep EEG power is a reflection of brain structure and function. The goal of this study was to examine the degree to which genes contribute to sleep EEG topography during adolescence, a period of brain restructuring and maturation. We recorded high-density sleep EEG in monozygotic (MZ; n = 28) and dizygotic (DZ; n = 22) adolescent twins (mean age = 13.2 ± 1.1 years) at two time points 6 months apart. The topographic distribution of normalized sleep EEG power was examined for the frequency bands delta (1-4.6 Hz) to gamma 2 (34.2-44 Hz) during NREM and REM sleep. We found highest heritability values in the beta band for NREM and REM sleep (0.44 ≤ h2 ≤ 0.57), while environmental factors shared amongst twin siblings accounted for the variance in the delta to sigma bands (0.59 ≤ c2 ≤ 0.83). Given that both genetic and environmental factors are reflected in sleep EEG topography, our results suggest that topography may provide a rich metric by which to understand brain function. Furthermore, the frequency specific parsing of the influence of genetic from environmental factors on topography suggests functionally distinct networks and reveals the mechanisms that shape these networks.
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Affiliation(s)
- Andjela Markovic
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Peter Achermann
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
- Zurich Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
| | - Thomas Rusterholz
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Leila Tarokh
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
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Galland BC, Short MA, Terrill P, Rigney G, Haszard JJ, Coussens S, Foster-Owens M, Biggs SN. Establishing normal values for pediatric nighttime sleep measured by actigraphy: a systematic review and meta-analysis. Sleep 2018; 41:4954015. [DOI: 10.1093/sleep/zsy017] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Indexed: 01/25/2023] Open
Affiliation(s)
- Barbara C Galland
- Department of Women’s and Children’s Health, University of Otago, Dunedin, New Zealand
| | | | - Philip Terrill
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Gabrielle Rigney
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, Canada
| | - Jillian J Haszard
- Department of Women’s and Children’s Health, University of Otago, Dunedin, New Zealand
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Scott Coussens
- School of Psychology, Flinders University, Adelaide, Australia
- Cognitive Neuroscience Laboratory, University of South Australia, Adelaide, Australia
| | - Mistral Foster-Owens
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Australia
| | - Sarah N Biggs
- Department of Paediatrics, The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Melbourne, Australia
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34
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de Zambotti M, Javitz H, Franzen PL, Brumback T, Clark DB, Colrain IM, Baker FC. Sex- and Age-Dependent Differences in Autonomic Nervous System Functioning in Adolescents. J Adolesc Health 2018; 62:184-190. [PMID: 29198773 PMCID: PMC6415527 DOI: 10.1016/j.jadohealth.2017.09.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 09/07/2017] [Accepted: 09/08/2017] [Indexed: 01/19/2023]
Abstract
PURPOSE We assessed sex- and age-dependent differences in a cross-sectional analysis of cardiac autonomic nervous system (ANS) regulation during sleep in adolescents. METHODS Nocturnal heart rate (HR) and heart rate variability (HRV) metrics, reflecting ANS functioning, were analyzed across the night and within undisturbed rapid eye movement (REM) and non-REM sleep in 149 healthy adolescents (12-22 years; 67 female) from the National Consortium on Alcohol and Neurodevelopment in Adolescence. RESULTS Nocturnal HR was slower in older, more pubertally advanced boys than in younger boys. In girls, HR did not vary according to age or maturity, although overall HRV and vagal modulation declined with age. Although younger boys and girls had similar HR, the male-female HR difference increased by ~2.4 bpm every year (p < .01, higher in older girls). Boys and girls showed expected increases in total HRV across the night but this within-night "recovery" was blunted in girls compared with boys (p < .05). Also, the non-REM and REM difference in HR was greater in girls (p < .01). Models exploring a role of covariates (sleep, mood, reproductive hormones, activity) in influencing HR and HRV showed few significant effects, apart from sedentary activity (higher in older girls), which partially mediated the sex × age interaction in HR. CONCLUSIONS Sex-related differences in cardiac ANS function emerge during adolescence. The extent to which sex-age divergences in ANS function are adaptive or reflect underlying sex-specific vulnerability for the development of psychopathology and other health conditions in adolescence needs to be determined.
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Affiliation(s)
| | - Harold Javitz
- Division of Education, SRI International, Menlo Park, CA, USA
| | - Peter L. Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ty Brumback
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Duncan B. Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ian M. Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA, USA;,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA;,Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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Clark DB, Chung T, Martin CS, Hasler BP, Fitzgerald DH, Luna B, Brown SA, Tapert SF, Brumback T, Cummins K, Pfefferbaum A, Sullivan EV, Pohl KM, Colrain IM, Baker FC, De Bellis MD, Nooner KB, Nagel BJ. Adolescent Executive Dysfunction in Daily Life: Relationships to Risks, Brain Structure and Substance Use. Front Behav Neurosci 2017; 11:223. [PMID: 29180956 PMCID: PMC5694208 DOI: 10.3389/fnbeh.2017.00223] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 10/24/2017] [Indexed: 01/13/2023] Open
Abstract
During adolescence, problems reflecting cognitive, behavioral and affective dysregulation, such as inattention and emotional dyscontrol, have been observed to be associated with substance use disorder (SUD) risks and outcomes. Prior studies have typically been with small samples, and have typically not included comprehensive measurement of executive dysfunction domains. The relationships of executive dysfunction in daily life with performance based testing of cognitive skills and structural brain characteristics, thought to be the basis for executive functioning, have not been definitively determined. The aims of this study were to determine the relationships between executive dysfunction in daily life, measured by the Behavior Rating Inventory of Executive Function (BRIEF), cognitive skills and structural brain characteristics, and SUD risks, including a global SUD risk indicator, sleep quality, and risky alcohol and cannabis use. In addition to bivariate relationships, multivariate models were tested. The subjects (n = 817; ages 12 through 21) were participants in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study. The results indicated that executive dysfunction was significantly related to SUD risks, poor sleep quality, risky alcohol use and cannabis use, and was not significantly related to cognitive skills or structural brain characteristics. In multivariate models, the relationship between poor sleep quality and risky substance use was mediated by executive dysfunction. While these cross-sectional relationships need to be further examined in longitudinal analyses, the results suggest that poor sleep quality and executive dysfunction may be viable preventive intervention targets to reduce adolescent substance use.
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Affiliation(s)
- Duncan B Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Tammy Chung
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Christopher S Martin
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Brant P Hasler
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Douglas H Fitzgerald
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sandra A Brown
- Department of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Susan F Tapert
- Department of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Ty Brumback
- Department of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Kevin Cummins
- Department of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Adolf Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, CA, United States.,Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Palo Alto, CA, United States
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Palo Alto, CA, United States
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, United States
| | | | - Kate B Nooner
- Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, United States
| | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health and Science University, Portland, OR, United States
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36
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Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description. Dev Cogn Neurosci 2017; 32:55-66. [PMID: 29113758 PMCID: PMC5934320 DOI: 10.1016/j.dcn.2017.10.010] [Citation(s) in RCA: 407] [Impact Index Per Article: 58.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Revised: 09/10/2017] [Accepted: 10/30/2017] [Indexed: 02/01/2023] Open
Abstract
The Adolescent Brain and Cognitive Development (ABCD) Study incorporates a comprehensive range of measures assessing predictors and outcomes related to both mental and physical health across childhood and adolescence. The workgroup developed a battery that would assess a comprehensive range of domains that address study aims while minimizing participant and family burden. We review the major considerations that went into deciding what constructs to cover in the demographics, physical health and mental health domains, as well as the process of selecting measures, piloting and refining the originally proposed battery. We present a description of the baseline battery, as well as the six-month interim assessments and the one-year follow-up assessments. This battery includes assessments from the perspectives of both the parent and the target youth, as well as teacher reports. This battery will provide a foundational baseline assessment of the youth's current function so as to permit characterization of stability and change in key domains over time. The findings from this battery will also be utilized to identify both resilience markers that predict healthy development and risk factors for later adverse outcomes in physical health, mental health, and substance use and abuse.
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Goldstone A, Willoughby AR, de Zambotti M, Franzen PL, Kwon D, Pohl KM, Pfefferbaum A, Sullivan EV, Müller-Oehring EM, Prouty DE, Hasler BP, Clark DB, Colrain IM, Baker FC. The mediating role of cortical thickness and gray matter volume on sleep slow-wave activity during adolescence. Brain Struct Funct 2017; 223:669-685. [PMID: 28913599 DOI: 10.1007/s00429-017-1509-9] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 09/01/2017] [Indexed: 12/01/2022]
Abstract
During the course of adolescence, reductions occur in cortical thickness and gray matter (GM) volume, along with a 65% reduction in slow-wave (delta) activity during sleep (SWA) but empirical data linking these structural brain and functional sleep differences, is lacking. Here, we investigated specifically whether age-related differences in cortical thickness and GM volume and cortical thickness accounted for the typical age-related difference in slow-wave (delta) activity (SWA) during sleep. 132 healthy participants (age 12-21 years) from the National Consortium on Alcohol and NeuroDevelopment in Adolescence study were included in this cross-sectional analysis of baseline polysomnographic, electroencephalographic, and magnetic resonance imaging data. By applying mediation models, we identified a large, direct effect of age on SWA in adolescents, which explained 45% of the variance in ultra-SWA (0.3-1 Hz) and 52% of the variance in delta-SWA (1 to <4 Hz), where SWA was lower in older adolescents, as has been reported previously. In addition, we provide evidence that the structure of several, predominantly frontal, and parietal brain regions, partially mediated this direct age effect, models including measures of brain structure explained an additional 3-9% of the variance in ultra-SWA and 4-5% of the variance in delta-SWA, with no differences between sexes. Replacing age with pubertal status in models produced similar results. As reductions in GM volume and cortical thickness likely indicate synaptic pruning and myelination, these results suggest that diminished SWA in older, more mature adolescents may largely be driven by such processes within a number of frontal and parietal brain regions.
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Affiliation(s)
- Aimée Goldstone
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Adrian R Willoughby
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Massimiliano de Zambotti
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Peter L Franzen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dongjin Kwon
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kilian M Pohl
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Adolf Pfefferbaum
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Eva M Müller-Oehring
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Devin E Prouty
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA
| | - Brant P Hasler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Duncan B Clark
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ian M Colrain
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Fiona C Baker
- Centre for Health Sciences, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025, USA. .,Brain Function Research Group, School of Physiology, University of Witwatersrand, Johannesburg, South Africa.
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38
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Hasler BP, Franzen PL, de Zambotti M, Prouty D, Brown SA, Tapert SF, Pfefferbaum A, Pohl KM, Sullivan EV, De Bellis MD, Nagel BJ, Baker FC, Colrain IM, Clark DB. Eveningness and Later Sleep Timing Are Associated with Greater Risk for Alcohol and Marijuana Use in Adolescence: Initial Findings from the National Consortium on Alcohol and Neurodevelopment in Adolescence Study. Alcohol Clin Exp Res 2017; 41:1154-1165. [PMID: 28421617 DOI: 10.1111/acer.13401] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 04/11/2017] [Indexed: 12/27/2022]
Abstract
BACKGROUND Abundant cross-sectional evidence links eveningness (a preference for later sleep-wake timing) and increased alcohol and drug use among adolescents and young adults. However, longitudinal studies are needed to examine whether eveningness is a risk factor for subsequent alcohol and drug use, particularly during adolescence, which is marked by parallel peaks in eveningness and risk for the onset of alcohol use disorders. This study examined whether eveningness and other sleep characteristics were associated with concurrent or subsequent substance involvement in a longitudinal study of adolescents. METHODS Participants were 729 adolescents (368 females; age 12 to 21 years) in the National Consortium on Alcohol and Neurodevelopment in Adolescence study. Associations between the sleep variables (circadian preference, sleep quality, daytime sleepiness, sleep timing, and sleep duration) and 3 categorical substance variables (at-risk alcohol use, alcohol bingeing, and past-year marijuana use [y/n]) were examined using ordinal and logistic regression with baseline age, sex, race, ethnicity, socioeconomic status, and psychiatric problems as covariates. RESULTS At baseline, greater eveningness was associated with greater at-risk alcohol use, greater bingeing, and past-year use of marijuana. Later weekday and weekend bedtimes, but not weekday or weekend sleep duration, showed similar associations across the 3 substance outcomes at baseline. Greater baseline eveningness was also prospectively associated with greater bingeing and past-year use of marijuana at the 1-year follow-up, after covarying for baseline bingeing and marijuana use. Later baseline weekday and weekend bedtimes, and shorter baseline weekday sleep duration, were similarly associated with greater bingeing and past-year use of marijuana at the 1-year follow-up after covarying for baseline values. CONCLUSIONS Findings suggest that eveningness and sleep timing may be under recognized risk factors and future areas of intervention for adolescent involvement in alcohol and marijuana that should be considered along with other previously identified sleep factors such as insomnia and insufficient sleep.
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Affiliation(s)
- Brant P Hasler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Peter L Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Devin Prouty
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Sandra A Brown
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Susan F Tapert
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Adolf Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, California.,Department of Psychiatry & Behavioral Sciences, School of Medicine, Stanford University, Stanford, California
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Edith V Sullivan
- Department of Psychiatry & Behavioral Sciences, School of Medicine, Stanford University, Stanford, California
| | - Michael D De Bellis
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Bonnie J Nagel
- Department of Psychiatry, Oregon Health & Science University, Portland, Oregon
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Duncan B Clark
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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