Polysomnographic Sleep Research Articles

Нарушения дыхания во сне и БЛД-ассоциированная легочная гипертензия у недоношенных детей

This article presents current data on the features of sleep-related breathing disorders in preterm infants with bronchopulmonary dysplasia (BPD) and pulmonary hypertension. The data on BPD-associated pulmonary hypertension, morphological changes in lung tissue, possible complications and clinical outcomes in this pathology were summarized. The basic data on intermittent hypoxic episodes, apnea and periodic breathing and their influence on the development and maintenance of pulmonary hypertension were reviewed. The methods were described that allow to accurately differentiate the character of sleep-related breathing disorders for the purpose of timely diagnosis and correction of therapy. The feasibility of using polysomnography and cardiorespiratory sleep monitoring as diagnostic methods for this category of patients was substantiated. Key words: BPD-associated pulmonary hypertension, breathing disorder, preterm infants

A Sleep Stage Classification Algorithm of Wearable System Based on Multiscale Residual Convolutional Neural Network

Sleep disorder is a serious public health problem. Unobtrusive home sleep quality monitoring system can better open the way of sleep disorder‐related diseases screening and health monitoring. In this work, a sleep stage classification algorithm based on multiscale residual convolutional neural network (MRCNN) was proposed to detect the characteristics of electroencephalogram (EEG) signals detected by wearable systems and classify sleep stages. EEG signals were analyzed in each epoch of every 30 seconds, and then 5‐class sleep stage classification, wake (W), rapid eye movement sleep (REM), and nonrapid eye movement sleep (NREM) including N1, N2, and N3 stages was outputted. Good results (accuracy rate of 92.06% and 91.13%, Cohen’s kappa of 0.7360 and 0.7001) were achieved with 5‐fold cross‐validation and independent subject cross‐validation, respectively, which performed on European Data Format (EDF) dataset containing 197 whole‐night polysomnographic sleep recordings. Compared with several representative deep learning methods, this method can easily obtain sleep stage information from single‐channel EEG signals without specialized feature extraction, which is closer to clinical application. Experiments based on CinC2018 dataset also proved that the method has a good performance on large dataset and can provide support for sleep disorder‐related diseases screening and health surveillance based on automatic sleep staging.

Comparative effects of psychotropic medications on sleep architecture: a retrospective review of diagnostic polysomnography sleep parameters.

Objective To study the effects of different psychotropic drugs on sleep architecture and sleep-related disorders.Material and Methods In this retrospective review of 405 consecutive de-identified diagnostic polysomnograms performed at a sleep laboratory from 2007 until 2011, we grouped 347 polysomnograms into five categories: controls, antidepressants (AD), antidepressants + anticonvulsants (ADAC), antidepressants + antipsychotics (ADAP), antidepressants + anticonvulsants + antipsychotics (ADACP). We conducted pairwise comparisons for demographic characteristics, medical history, specific psychotropic medication uses and sleep architecture variables, and adjusted for multiple testing. We used logistic regression to determine the odds ratio of having elevated apnea-hypopnea index (AHI) and periodic limb movement index (PLMI) within each group as compared to controls.Results Compared to controls, all groups had a significantly higher prevalence of benzodiazepines and trazodone use. AD and ADACP had significantly longer REM latency and lower REM percentage of total sleep time compared to controls. ADAP had a significantly lower AHI compared to controls, but that association was lost in the regression model. AD was associated with a higher PLMI compared to controls.Conclusion Psychotropic polypharmacy does not seem to be associated with significantly deleterious effects on sleep architecture. Adjunct anticonvulsants or antipsychotics to antidepressants may protect against periodic limb movement disorder.

Nurse-led triage of new sleep referrals is associated with lower risk of potentially contraindicated sleep testing: a retrospective cohort study

BackgroundThe volume of specialty care referrals often outstrips specialists’ capacity. The Department of Veterans Affairs launched a system of referral coordination to augment our workforce, empowering registered nurses to use...

Polysomnographic Indicators of Restorative Sleep and Body Mass Trajectories in the Wisconsin Sleep Cohort Study

Previous research suggests that reductions in restorative sleep—i.e., slow-wave (N3) and rapid-eye movement (REM) sleep—are associated with weight gain and obesity in mid-to-late life. This study extends prior work by examining how within-person changes and between-person differences in restorative sleep are associated with body mass trajectories among participants in the Wisconsin Sleep Cohort Study (WSCS). We used data from 4,862 polysomnographic sleep studies and physical exams collected from 1,187 WSCS participants over an average follow-up duration of 15 years. For both men and women, we found that (1) below-average N3 and REM sleep is associated with above-average BMI, and (2) within-person loss of N3 and REM sleep is associated with larger gains in BMI, particularly between ages 30-50. Our findings highlight the importance of restorative sleep in mid-to-late life, suggesting that future clinical treatments and public health policies will benefit from heightened attention to sleep quality.

Clinical utility of limited channel sleep studies versus polysomnography for obstructive sleep apnoea

Clinical utility of limited channel sleep studies versus polysomnography for obstructive sleep apnoea

REM density is associated with treatment response in major depression: Antidepressant pharmacotherapy vs. psychotherapy

Major depression is one of the most common psychiatric illnesses. Interestingly, a few studies have indicated the existence of depression subgroups, which respond differently to the available treatment options. Previously, sleep abnormalities have been suggested to indicate amenability to different treatment regimens. Thereby, especially REM-sleep parameters seem to play a prominent role, and REM-sleep dysregulation has been repeatedly discussed as a potential endophenotype of depression. With that said, estimating therapy outcome in order to choose the best line of treatment is of utmost importance to patients suffering from depression.The present study looks deeper into these clues by investigating the capability of polysomnographic sleep parameters to predict treatment response in depressed patients to either pharmacotherapy or psychotherapy. Moderately to severely depressed patients (n = 38) were randomly assigned to either psychotherapy (i.e. interpersonal psychotherapy) or pharmacotherapy (i.e., monotherapy with selective serotonin reuptake inhibitors, SSRI, or selective serotonin noradrenalin reuptake inhibitors, SSNRI). Prior to treatment, all patients underwent polysomnography in the sleep laboratory. After treatment, responders and non-responders of both treatment groups were compared regarding their baseline sleep parameters.Higher baseline REM density, i.e. the amount of rapid eye movements during REM sleep, predicted better response to antidepressant pharmacotherapy. In the psychotherapy group, the effect seemed reversed but was not statistically significant. No other sleep parameter predicted treatment response.Our findings support the notion that REM-sleep dysregulation is indeed indicative of a distinct endophenotype of depression and that pharmacotherapy with SSRI/SSNRI might be superior to psychotherapy in these patients.

Subacute Ingestion of Caffeine and Oolong Tea Increases Fat Oxidation without Affecting Energy Expenditure and Sleep Architecture: A Randomized, Placebo-Controlled, Double-Blinded Cross-Over Trial.

Ingesting oolong tea or caffeine acutely increases energy expenditure, and oolong tea, but not caffeine, stimulates fat oxidation. The acute effects of caffeine, such as increased heart rate and interference with sleep, diminish over 1–4 days, known as caffeine tolerance. During each 14-day session of the present study, 12 non-obese males consumed oolong tea (100 mg caffeine, 21.4 mg gallic acid, 97 mg catechins and 125 mg polymerized polyphenol), caffeine (100 mg), or placebo at breakfast and lunch. On day 14 of each session, 24-h indirect calorimetry and polysomnographic sleep recording were performed. Caffeine and oolong tea increased fat oxidation by ~20% without affecting energy expenditure over 24-h. The decrease in the respiratory quotient by oolong tea was greater than that by caffeine during sleep. The effect of oolong tea on fat oxidation was salient in the post-absorptive state. These findings suggest a role of unidentified ingredients in oolong tea to stimulate fat oxidation, and this effect is partially suppressed in a postprandial state. Two weeks of caffeine or oolong tea ingestion increased fat oxidation without interfering with sleep. The effects of subacute ingestion of caffeine and oolong tea differed from the acute effects, which is a particularly important consideration regarding habitual tea consumption.

Quantitative REM Sleep without Atonia in Parkinson's Disease and Essential Tremor.

Rapid eye movement (REM) sleep behavior disorder (RBD) occurs occasionally in essential tremor (ET), but polysomnographic REM sleep without atonia (RSWA) analyses have been sparse. To characterize the amount and distribution of polysomnographic RSWA, the electrophysiologic substrate of RBD, in patients with Parkinson's disease (PD) and ET. We analyzed quantitative RSWA in 73 patients: PD (23), ET (23), and age-sex-matched controls (27). None had dream-enactment behavior history or received antidepressants. Phasic, tonic, "any," and phasic-burst duration RSWA measures were calculated in the submentalis (SM) and anterior tibialis (AT) muscles. The automated REM atonia index (RAI) was also determined. Statistical analysis was performed by Kruskal-Wallis rank-sum and Mann-Whitney tests. SM phasic RSWA was significantly greater for PD than ET patients and controls (12.5% ± 12.8% vs. 4.9% ± 6.7%, 3.9% ± 2.6%), as was SM "any" (13.54% ± 14.30% vs. 5.2% ± 7.6%, 4.2% ± 2.6%). RAI was significantly lower in PD than in ET and controls (0.78 ± 0.23 vs. 0.92 ± 0.09 vs. 0.90 ± 0.17, P ≤ 0.005), but no different between ET and controls. AT phasic and "any" RSWA was similar between the 3 groups. ET and control RSWA was similar in all measures. Two ET patients (8.7%) had SM RSWA similar to PD patients. Elevated SM RSWA distinguished PD from ET in patients without dream-enactment symptoms and occurs frequently in PD patients, and in isolated tremor suggests underlying synucleinopathy. Prospective studies will further validate these findings.

Visualizing of Upper Respiratory Tract during Physiologicaly Sleep

Obstructive sleep apnea is a disease consisting of episodes of partial or complete closure of the upper airway that occur during sleep and lead to breathing cessation defined as a period of apnea more than 10s. Symptom include restlessness, snoring, recurrent awakening, morning headache and excessive day time sleepiness. Diagnosis of obstructive sleep apnea is based on sleep history and polysomnography

Clinical and Polysomnographic Sleep Features in Irritable Bowel Syndrome

The article's abstract is not available.

B-waves are present in patients without intracranial pressure disturbances.

Intracranial pressure (ICP) B-waves are defined as short, repeating elevations of ICP of up to 50mmHg with a frequency of 0.5-2 waves/min. The presence of B-waves in overnight recordings is regarded as a pathological phenomenon. However, the physiology of B-waves is still not fully understood and studies with transcranial Doppler, as a surrogate marker for ICP, have suggested that B-waves could be a normal physiological phenomenon. We present four patients without known structural neurological disease other than a coincidentally found unruptured intracranial aneurysm. One of the patients had experienced well-controlled epilepsy for several years, but was included because ICP under these conditions is unlikely to be abnormal. Following informed consent, all four patients had a telemetric ICP probe implanted during a prophylactic operation with closure of the aneurysm. They underwent overnight ICP monitoring with simultaneous polysomnography (PSG) sleep studies at 8weeks after the operation. These patients exhibited nocturnal B-waves, but did not have major structural brain lesions. Their ICP values were within the normal range. Nocturnal B-waves occurred in close association with sleep-disordered breathing (SDB) in rapid eye movement (REM) and non-REM sleep stages. SDB during REM sleep was associated with ramp-type B-waves; SDB during non-REM sleep was associated with the sinusoidal type of B-wave. We propose that B-waves are a physiological phenomenon associated with SDB and that the mechanical changes during respiration could have an essential and previously unrecognised role in the generation of B-waves.

Sleep and restless legs syndrome in female adolescents with idiopathic musculoskeletal pain

ObjectivesTo assess the presence of restless legs syndrome, periodic leg movement, and sleep disorders in female adolescents with idiopathic musculoskeletal pain through a sleep scale and polysomnography, and to compare these data in adolescents without pain history. MethodTwenty‐six adolescents diagnosed with idiopathic musculoskeletal pain followed in a pain outpatient clinic and 25 healthy controls matched by age and education were recruited. The restless legs syndrome criteria were evaluated according to the International Restless Legs Syndrome Study Group, the Sleep Disturbance Scale for Children was completed, nocturnal polysomnography was performed, and anxiety symptoms were recorded. ResultsThe mean age of idiopathic musculoskeletal pain adolescents was 13.9 ± 1.6 years; in controls, it was 14.4 ± 1.4 years. One adolescent in the control group (4%) and nine patients with idiopathic musculoskeletal pain (34.6%) fulfilled the restless legs syndrome criteria (p = 0.011). The authors did not observe significant differences in Sleep Disturbance Scale for Children scores between the groups in all components: disorders of initiating and maintaining sleep (p = 0.290), sleep breathing disorders (p = 0.576), disorders of arousal (p = 0.162), sleep‐wake transition disorders (p = 0.258), disorder of excessive daytime somnolence (p = 0.594), and sleep hyperhidrosis (p = 0.797). The neurophysiological, respiratory, and periodic leg movement parameters were similar in both groups. Having anxiety was not associated with restless legs syndrome (p = 0.11). Three patients with idiopathic musculoskeletal pain (11.5%) presented restless legs syndrome and periodic leg movement simultaneously, which was absent in the control group. ConclusionFemale adolescents with idiopathic musculoskeletal pain present criteria for RLS more frequently than healthy adolescents. However, this study did not observe relevant changes in objective and subject sleep variables.

Evaluating the effect of Obstructive Sleep Apnea (OSA) Treatment with CPAP on Menopause Rating Scale (MRS) among post-menopausal women

Background: Menopause is associated with increases in sleep-related complaints, including insomnia and mood disorders with associated sleep disruption. Decreased sleep efficiency seen on the polysomnography (PSG) may be related to menopause, OSA, or aging. To identify and treat a new pattern of problems that present with the onset of menopause, sleep physicians should have a better understanding of the effect of OSA treatment with CPAP on quality of life among menopausal women. Therefore, in this study, we hypothesized that sleep architecture improvement with the treatment of OSA would result in subjective improvements in sleep quality in postmenopausal women as assessed by the Post PSG Sleep Assessment (PPSA). Method: In this study, we prospectively analyzed 49 menopausal women diagnosed with OSA presenting to the George Washington University’s Medical Faculty Associates, Center for Sleep Disorders. From 2012 to 2016, this sample of responders was invited to undergo in-laboratory polysomnography. Patients were treated with continuous positive airway pressure (CPAP). Pre-treatment SF-36, Hamilton rating scales (HAM-D) for depression, insomnia severity index, Epworth sleepiness scale (ESS), and MRS scores were compared with three-month post-treatment scores with Wilcoxon signed-rank test. Result: During the recruitment period, 60 women underwent polysomnography and were diagnosed with moderate to severe sleep apnea. During the initial follow up visit, 49 women met the eligibility criteria for the study. There was a trend for higher average Epworth Sleepiness Scale (ESS) in patients who were non-compliant to the CPAP treatment (Using the Medicare adherence criteria of ≥ 4 h of use on 70% of nights) than the individuals who adhere to the CPAP treatment. (7.29 versus 6.0 respectively, p< .849). Conclusion: Although findings show that compliance to Obstructive Sleep Apnea (as assessed by AHI) treatment with CPAP, was unrelated to the severity of menopausal symptoms, there is good evidence that treating OSA improves depression with OSA-related symptoms (i.e., daytime sleepiness, cognitive deficits, etc.). Overall, this study shows that sleep apnea symptoms are more severely expressed by OSA patients who are non-compliant with CPAP treatment.

Obstructive sleep apnea during rapid eye movement sleep in patients with diabetic kidney disease

Although recent studies suggest that obstructive sleep apnea during rapid eye movement (REM) is associated with different cardiometabolic and neurocognitive risks compared with non-REM (NREM) sleep, there is no information on whether obstructive sleep apnea during REM and/or NREM sleep is independently associated with diabetic kidney disease (DKD). In this cross-sectional study, 303 patients with type 2 diabetes who were followed up at our diabetes outpatient clinic underwent all-night polysomnography. Logistic regression analysis was performed to determine the separate effects of obstructive sleep apnea during REM and/or NREM sleep (REM and/or NREM-apnea-hypopnea index [AHI]) and several other polysomnography parameters on DKD after adjustment for several known risk factors for DKD. The median (interquartile range) AHI, REM-AHI, and NREM-AHI of the patients (age 57.8 ± 11.8 years, male sex 86.8%, hypertension 64.3%, and DKD 35.2%) were 29.8 (18.0-45.4), 35.4 (21.1-53.3), and 29.1 (16.3-45.4) events/h, respectively. REM-AHI quartiles, but not NREM-AHI quartiles, correlated independently and significantly with DKD (P = .03 for linear trend, odds ratio (OR), and 95% confidence interval for Q2: 3.14 (1.10-8.98), Q3: 3.83 (1.26-11.60), Q4: 4.97 (1.60-15.46), compared with Q1). In addition, categorical AHI (P = .01, OR, and 95% confidence interval for ≥ 15 to < 30: 1.54 (0.64-3.71), ≥ 30: 3.08 (1.36-6.94) compared with < 15), quartiles of AHI (P = .01), quartiles of lowest arterial oxyhemoglobin saturation (P < .01), quartiles of percentage of time spent with arterial oxyhemoglobin saturation < 90 (P < .01), and quartiles of mean arterial oxyhemoglobin saturation were independently associated with DKD. Obstructive sleep apnea, especially during REM sleep, is a potential risk factor for DKD.

Impact of the COVID-19 pandemic on obstructive sleep apnea: recommendations for symptom management

In the context of the current COVID-19 pandemic situation, we address the following important questions: (1) How can patients be identified for possible OSA while sleep clinic testing is temporarily unavailable or limited? and (2) What measures can be suggested to improve sleep health until proper diagnosis and treatment become safe and available again? As a proxy for home or in-laboratory testing, validation of a symptom-based measure of OSA risk is presented, based on an ongoing larger prospective study of 156 family medicine patients with OSA (88 women, 68 men; mean age, 57 years) and 60 control participants (36 women, 24 men; mean age, 54 years) recruited from the community. Participants completed the Sleep Symptom Checklist (SSC) and a range of other self-report measures; primary care patients also underwent a polysomnographic sleep study. Results showed that (1) individuals with OSA reported more symptoms on the SSC related to insomnia, daytime symptoms, sleep disorders, and psychological maladjustment than did the control group (all P < .001), and (2) their sleep-related symptoms were significantly more severe than those of the control patients. In addition, several polysomnographic indices in recently diagnosed untreated individuals with OSA were significantly correlated with SSC measured sleep disorder symptoms, and SSC scores significantly distinguished participants with OSA from control participants. Our findings suggest that family practitioners can effectively prescreen patients for possible OSA by inquiring about 5 items that form the SSC sleep disorders subscale. If OSA is suspected, then we can recommend a range of behavioral techniques to improve symptoms. The current pandemic causes us to reflect that the provisional targeting of symptoms and guidance regarding mitigation strategies while waiting for specialist care could serve patients well at any time.

Excessive daytime sleepiness in cancer patients.

Excessive daytime sleepiness (EDS) is commonly reported in patients with cancer, and it is also a cardinal feature of central disorders of hypersomnolence. Multiple sleep latency testing (MSLT) is used for objective assessment. A retrospective review of patients with cancer history who underwent formal sleep evaluation and MSLT from 2006 to 2019 was performed. Clinical characteristics, sleep-related history, and polysomnographic data were reviewed. Of 16 patients with cancer history, 9 were women (56%) and median age was 49. Cancer diagnoses included 4 central nervous system, 3 breast, 1 lymphoma, and 9 other solid malignancies, and 31% were undergoing active treatment. Comorbid conditions included depression, obstructive sleep apnea, and cancer-related fatigue. Daytime fatigue (94%), daily naps (81%), and EDS (69%) were the most common symptoms. Hypnopompic and hypnogogic hallucinations, sleep paralysis, sleep attacks, and cataplexy were present in a few. Epworth Sleepiness Scale scores were consistent with EDS in 88%, and mean sleep latency was less than 8 min in 69%. Only 31% had more than 2 sleep-onset REM periods. MSLT supported diagnoses of central disorders of hypersomnolence in 5 patients (4 narcolepsy, 1 idiopathic hypersomnia); 5 hypersomnia due to a medical disorder, psychiatric condition, or medication; and 6 with normal results. Pharmacotherapy was prescribed in 5 patients. EDS in patients with cancer may be multifactorial, but persistent symptoms may indicate an underlying disorder of hypersomnolence. Sleep referral and polysomnography to exclude other sleep disorders may be indicated. MSLT can help confirm the diagnosis. In those with normal MSLT, further evaluation for mood disorder should be considered.

A scalable method of determining physiological endotypes of sleep apnea from a polysomnographic sleep study.

Sleep apnea is caused by several endophenotypic traits, namely pharyngeal collapsibility, poor muscle compensation, ventilatory instability (high loop gain), and arousability from sleep (low arousal threshold). Measures of these traits have shown promise for predicting outcomes of therapies (e.g. oral appliances, surgery, hypoglossal nerve stimulation, CPAP, and pharmaceuticals), which may become an integral part of precision sleep medicine. Currently, the methods Sands et al. developed for endotyping sleep apnea from polysomnography (PSG) are embedded in the original authors’ code, which is computationally expensive and requires technological expertise to run. We present a reimplementation and validation of the integrity of the original authors’ code by reproducing the endo-Phenotyping Using Polysomnography (PUP) method of Sands et al. The original MATLAB methods were reprogrammed in Python; efficient algorithms were developed to detect breaths, calculate normalized ventilation (moving time-average), and model ventilatory drive (intended ventilation). The new implementation (PUPpy) was validated by comparing the endotypes from PUPpy with the original PUP results. Both endotyping methods were applied to 38 manually scored polysomnographic studies. Results of the new implementation were strongly correlated with the original (p < 10–6 for all): ventilation at eupnea V̇ passive (ICC = 0.97), ventilation at arousal onset V̇ active (ICC = 0.97), loop gain (ICC = 0.96), and arousal threshold (ICC = 0.90). We successfully implemented the original PUP method by Sands et al. providing further evidence of its integrity. Additionally, we created a cloud-based version for scaling up sleep apnea endotyping that can be used more easily by a wider audience of researchers and clinicians.

Analysis of Clinical Characteristics and Polysomnography Indicators of Obstructive Sleep Apnea-Hypopnea Syndrome Patients Based on Sleep Perception Types.

Purpose: The aim of this study was to explore the clinical characteristics of different sleep perception types of obstructive sleep apnea–hypopnea syndrome (OSAHS) patients and to analyze the correlation between sleep perception and polysomnography (PSG) indicators in OSAHS patients.Methods: We retrospectively analyzed 355 patients diagnosed with OSAHS by PSG at the Sleep Medicine Center of Shengjing Hospital of China Medical University. Patients saw a doctor due to snoring and daytime sleepiness from March 2017 to March 2018. We excluded the patients who are <18 years old, had a history of OSAHS treatment, had other sleep and psychiatric disorders, and could not provide complete data. According to the patients' explanation, medical history, PSG indicators, and morning questionnaire after PSG, the patients were divided into normal sleep perception (NSP), positive sleep perception abnormality (PSPA), and negative sleep perception abnormality (NSPA). We analyze the demographic characteristics and PSG of the three groups with ANOVA and non-parametric tests. In addition, we conducted correlation analysis between sleep perception and PSG indicators.Results: Of OSAHS patient, 55.5% had sleep perception abnormalities, of which 35.5% were positive-perception abnormalities and 20% were negative-perception abnormalities. From the analysis of PSG indicators, the sleep perception abnormality was related to the frequency of spontaneous arousal of the patient (P = 0.003) and was not related to the slight arousal caused by respiratory events, oxygen desaturations, and limb movement events. OSAHS patients with PSPA had a higher oxygen desaturation index (P = 0.046) but no significant difference in post hoc test. PSPA group had significantly lower rapid eye movement (REM) latency and sleep efficiency and more wake after sleep onset (WASO) than had the other sleep perception groups. Multivariate linear regression analyses after adjusting for age and sex revealed that sleep perception was related to lowest oxygen saturation (LSaO2), TS90%, sleep efficiency, and WASO.Conclusion: Sleep perception abnormality is common in OSAHS patients. OSAHS patients with different sleep perception types have different PSG profiles. The OSAHS patients with PSPA have more severe hypoxia levels at night that require timely personalized treatment.

Sleep Disturbance Forecasts β-Amyloid Accumulation across Subsequent Years

Experimental sleep-wake disruption in rodents and humans causally modulates β-amyloid (Aβ) dynamics (e.g., [1-3]). This leads to the hypothesis that, beyond cross-sectional associations, impaired sleep structure and physiology could represent prospective biomarkers of the speed with which Aβ accumulates over time. Here, we test the hypothesis that initial baseline measures of non-rapid eye movement (NREM) sleep slow-wave activity (SWA) and sleep quality (efficiency) provide future forecasting sensitivity to the rate of Aβ accumulation over subsequent years. A cohort of clinically normal older adults was assessed using objective sleep polysomnography in combination with longitudinal tracking of Aβ accumulation with [11C]PiB positron emission tomography (PET) imaging. Both the proportion of NREM SWA below 1Hz and the measure of sleep efficiency predicted the speed (slope) of subsequent Aβ deposition over time, and these associations remained robust when taking into account additional cofactors of interest (e.g., age, sex, sleep apnea). Moreover, these measures were specific, such that no other macro- and microphysiological architecture metrics of sleep demonstrated such sensitivity. Our data support the proposal that objective sleep markers could be part of a set of biomarkers that statistically forecast the longitudinal trajectory of cortical Aβ deposition in the human brain. Sleep may therefore represent a potentially affordable, scalable, repeatable, and non-invasive tool for quantifying of Aβ pathological progression, prior to cognitive symptoms of Alzheimer's disease (AD).