Scott C Sauers, Cristina D Toedebusch, Rachel Richardson, Adam P Spira, John C Morris, David M Holtzman, Brendan P Lucey
{"title":"Midpoint of sleep is associated with sleep quality in older adults with and without symptomatic Alzheimer's disease.","authors":"Scott C Sauers, Cristina D Toedebusch, Rachel Richardson, Adam P Spira, John C Morris, David M Holtzman, Brendan P Lucey","doi":"10.1093/sleepadvances/zpae023","DOIUrl":"10.1093/sleepadvances/zpae023","url":null,"abstract":"<p><strong>Introduction: </strong>Disrupted sleep is common in individuals with Alzheimer's disease (AD) and may be a marker for AD risk. The timing of sleep affects sleep-wake activity and is also associated with AD, but little is known about links between sleep architecture and the midpoint of sleep in older adults. In this study, we tested if the midpoint of sleep is associated with different measures of sleep architecture, AD biomarkers, and cognitive status among older adults with and without symptomatic AD.</p><p><strong>Methods: </strong>Participants (<i>N</i> = 243) with a mean age of 74 underwent standardized cognitive assessments, measurement of CSF AD biomarkers, and sleep monitoring via single-channel EEG, actigraphy, a home sleep apnea test, and self-reported sleep logs. The midpoint of sleep was defined by actigraphy.</p><p><strong>Results: </strong>A later midpoint of sleep was associated with African-American race and greater night-to-night variability in the sleep midpoint. After adjusting for multiple potential confounding factors, a later sleep midpoint was associated with longer rapid-eye movement (REM) onset latency, decreased REM sleep time, more actigraphic awakenings at night, and higher < 2 Hz non-REM slow-wave activity.</p><p><strong>Conclusions: </strong>Noninvasive in vivo markers of brain function, such as sleep, are needed to track both future risk of cognitive impairment and response to interventions in older adults at risk for AD. Sleep timing is associated with multiple other sleep measures and may affect their utility as markers of AD. The midpoint of sleep may be changed through behavioral intervention and should be taken into account when using sleep as a marker for AD risk.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae023"},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11071685/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140864735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crystal L Yates, Stephanie Centofanti, Leonie Heilbronn, David Kennaway, Alison M Coates, Jillian Dorrian, Gary Wittert, Charlotte C Gupta, Jacqueline M Stepien, Peter Catcheside, Siobhan Banks
{"title":"The effects of fasting compared to eating a meal or snack during simulated night shift on changes in metabolism associated with circadian misalignment: a protocol and methods paper.","authors":"Crystal L Yates, Stephanie Centofanti, Leonie Heilbronn, David Kennaway, Alison M Coates, Jillian Dorrian, Gary Wittert, Charlotte C Gupta, Jacqueline M Stepien, Peter Catcheside, Siobhan Banks","doi":"10.1093/sleepadvances/zpae021","DOIUrl":"10.1093/sleepadvances/zpae021","url":null,"abstract":"<p><strong>Study objectives: </strong>This protocol paper outlines the methods that will be used to examine the impact of altering meal timing on metabolism, cognitive performance, and mood during the simulated night shift.</p><p><strong>Methods: </strong>Participants (male and female) will be recruited according to an a priori selected sample size to complete a 7-day within and between participant's laboratory protocol. Participants will be randomly assigned to one of the three conditions: meal at night or snack at night or no meal at night. This protocol includes an 8-hour nighttime baseline sleep, followed by 4 consecutive nights of simulated nightshift (7 hours day sleep; 10:00-17:00 hours), and an 8-hour nighttime sleep (return to dayshift). During the simulated night shift, meals will be provided at ~06:30, 09:30, 14:10, and 19:00 hours (no eating at night); ~06:30, 19:00, and 00:30 hours (meal at night); or ~06:30, 14:10, 19:00, and 00:30 hours (snack at night). Meal composition will be strictly controlled throughout the study (45%-65% carbohydrates, 15%-25% protein, and 20%-35% fat per day) with daily energy provided to meet individual needs using the Harris-Benedict equation (light/sedentary activity). The primary outcome measures are serum concentrations of blood glucose, insulin, and free fatty acids area under the curve in response to the oral glucose tolerance test. Mixed-effect ANOVAs will be conducted.</p><p><strong>Conclusions: </strong>This protocol paper describes a methodology to describe an innovative approach to reduce the metabolic disease impact associated with shift work.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae021"},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141903864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fumi Katsuki, Tristan J Spratt, Ritchie E. Brown, R. Basheer, David S. Uygun
{"title":"Sleep-Deep-Learner is taught sleep-wake scoring by the end-user to complete each record in their style.","authors":"Fumi Katsuki, Tristan J Spratt, Ritchie E. Brown, R. Basheer, David S. Uygun","doi":"10.1093/sleepadvances/zpae022","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae022","url":null,"abstract":"Sleep-wake scoring is a time-consuming, tedious but essential component of clinical and preclinical sleep research. Sleep scoring is even more laborious and challenging in rodents due to the smaller EEG amplitude differences between states and the rapid state transitions which necessitate scoring in shorter epochs. Although many automated rodent sleep scoring methods exist, they do not perform as well when scoring new datasets, especially those which involve changes in the EEG/EMG profile. Thus, manual scoring by expert scorers remains the gold standard. Here we take a different approach to this problem by using a neural network to accelerate the scoring of expert scorers. Sleep-Deep-Learner creates a bespoke deep convolution neural network model for individual electroencephalographic or local-field-potential (LFP) records via transfer learning of GoogLeNet, by learning from a small subset of manual scores of each EEG/LFP record as provided by the end-user. Sleep-Deep-Learner then automates scoring of the remainder of the EEG/LFP record. A novel REM sleep scoring correction procedure further enhanced accuracy. Sleep-Deep-Learner reliably scores EEG and LFP data and retains sleep-wake architecture in wild-type mice, in sleep induced by the hypnotic zolpidem, in a mouse model of Alzheimer's disease and in a genetic knock-down study, when compared to manual scoring. Sleep-Deep-Learner reduced manual scoring time to 1/12. Since Sleep-Deep-Learner uses transfer learning on each independent recording, it is not biased by previously scored existing datasets. Thus, we find Sleep-Deep-Learner performs well when used on signals altered by a drug, disease model, or genetic modification.","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"18 8","pages":"zpae022"},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julio Fernandez-Mendoza, Susan L Calhoun, Edward O Bixler
{"title":"Edward O. Bixler, PhD: from the Apollo project and chimpanzees to sleep epidemiology.","authors":"Julio Fernandez-Mendoza, Susan L Calhoun, Edward O Bixler","doi":"10.1093/sleepadvances/zpae020","DOIUrl":"10.1093/sleepadvances/zpae020","url":null,"abstract":"<p><p>What an honor to write about Dr. Edward O. Bixler's contributions to the sleep field. In 1967, Dr. Bixler published a case report on a chimpanzee with implanted brain electrodes while working at an Air Force base in New Mexico. A few years later, in 1971, he published on the sleep effects of flurazepam in individuals with insomnia together with Dr. Anthony Kales, data that he had collected when the Sleep Research & Treatment Center (SRTC) was housed at the University of California Los Angeles. Dr. Bixler, a meticulous scientist, learned from Dr. Kales, a devoted clinician, to study \"the whole patient, and all aspects of sleep,\" a legacy that continued when the SRTC moved to Penn State in Hershey. Indeed, Dr. Bixler's tenure at Penn State from 1971 until 2019 kept the science of the SRTC focused on that premise and helped translate scientific evidence into clinical care. He not only contributed early to the pharmacology of sleep and the effects of hypnotics, but he was also a pioneer in \"sleep epidemiology.\" His \"Prevalence of sleep disorders in the Los Angeles metropolitan area\" study of 1979 was the first rigorous epidemiological study on sleep disturbances. Starting in 1990, he established the Penn State Adult Cohort to estimate the prevalence and natural history of sleep-disordered breathing and other sleep disorders in adults. Inspired by life-course epidemiology, he established in 2001 the Penn State Child Cohort to estimate the same phenomena in children. This Living Legend paper captures and highlights Dr. Bixler's enduring legacy to sleep science.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae020"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10983785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nathaniel Allen, Lucas Crock, Timothy Chun, Matthew J Reinhard
{"title":"Investigating a clinically informed sleep disturbance threshold for physical and mental health among Gulf War Illness veterans.","authors":"Nathaniel Allen, Lucas Crock, Timothy Chun, Matthew J Reinhard","doi":"10.1093/sleepadvances/zpae018","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae018","url":null,"abstract":"<p><strong>Study objectives: </strong>This study (1) assessed sleep quality and health in Gulf War veterans (GWV) meeting the Gulf War Illness (GWI) criteria and (2) compared health associations for both those meeting a \"clinically disturbed sleep\" threshold, and those below, as determined by the Pittsburgh Sleep Quality Index (PSQI) cutoff for military populations (≥10) on measures of physical, mental, and cognitive health.</p><p><strong>Methods: </strong>Participant data consisted of questionnaires and assessments completed prior to group assignment in a clinical trial. The sample consisted of 147 GWV, where 81.0% were males, and the median age was 53.4 years.</p><p><strong>Results: </strong>The mean (SD) PSQI global score was 12.34 (4.00) with 61% of the sample qualifying as clinically disturbed sleepers according to the cutoff (global PSQI ≥ 10). GWI veterans with PSQI scores ≥10 did not differ from others in age (<i>p</i> = 0.20), sex (<i>p</i> = 0.19), or years of education (<i>p</i> = 0.87), but showed worse GW-related symptomology on the Gulf War Kansas questionnaire (<i>p</i> < 0.01), and poorer mental health on the Veterans Rand-36 (<i>p</i> < 0.01).</p><p><strong>Conclusions: </strong>Disturbed sleep was associated with measures of pain, fatigue, and cognitive health. Our results suggest that a previously determined clinical threshold for clinically disturbed sleep is useful when examining the health status of the study population. Given that GWI is associated with elevated PSQI scores and a high frequency of disturbed sleep, cutoffs determining sleep health should be sensitive to population exposures and health history to improve interpretability.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae018"},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11015895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140857434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katharine C Simon, Chelsea Cadle, Neal Nakra, Marni C Nagel, Paola Malerba
{"title":"Age-associated sleep spindle characteristics in Duchenne muscular dystrophy.","authors":"Katharine C Simon, Chelsea Cadle, Neal Nakra, Marni C Nagel, Paola Malerba","doi":"10.1093/sleepadvances/zpae015","DOIUrl":"10.1093/sleepadvances/zpae015","url":null,"abstract":"<p><p>Brain oscillations of non-rapid eye movement sleep, including slow oscillations (SO, 0.5-1.5 Hz) and spindles (10-16 Hz), mirror underlying brain maturation across development and are associated with cognition. Hence, age-associated emergence and changes in the electrophysiological properties of these rhythms can lend insight into cortical development, specifically in comparisons between pediatric populations and typically developing peers. We previously evaluated age-associated changes in SOs in male patients with Duchenne muscular dystrophy (DMD), finding a significant age-related decline between 4 and 18 years. While primarily a muscle disorder, male patients with DMD can also have sleep, cognitive, and cortical abnormalities, thought to be driven by altered dystrophin expression in the brain. In this follow-up study, we characterized the age-associated changes in sleep spindles. We found that age-dependent spindle characteristics in patients with DMD, including density, frequency, amplitude, and duration, were consistent with age-associated trends reported in the literature for typically developing controls. Combined with our prior finding of age-associated decline in SOs, our results suggest that SOs, but not spindles, are a candidate intervention target to enhance sleep in patients with DMD.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae015"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10960605/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140208395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigative fatigue: how sleep-circadian factors shape criminal investigations.","authors":"Zlatan Krizan, Matthew Jones","doi":"10.1093/sleepadvances/zpae017","DOIUrl":"10.1093/sleepadvances/zpae017","url":null,"abstract":"<p><p>Investigating criminal complaints and identifying culprits to be prosecuted in the court of law is an essential process for law-enforcement and public safety. However, law-enforcement investigators operate under very challenging conditions due to stressful environments, understaffing, and public scrutiny, which factors into investigative errors (e.g. uncleared cases). This paper argues that one contributing factor to investigative failures involves sleep and circadian disruption of investigators themselves, known to be prevalent among law-enforcement. By focusing on investigative interviewing, this analysis illustrates how sleep and circadian disruption could impact investigations by considering three broad phases of (1) preparation, (2) information elicitation, and (3) assessment and corroboration. These phases are organized in a framework that outlines theory-informed pathways in need of empirical attention, with special focus on effort and decision-making processes critical to investigations. While existing evidence is limited, preliminary findings support some elements of investigative fatigue. The paper concludes by placing investigative fatigue in a broader context of investigative work while providing recommendations for future research throughout. This paper is part of the <i>Sleep and Circadian Health in the Justice System</i> Collection.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae017"},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10980285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sleepless behind bars: the connection between mental health, environment, and sleep among women in jail.","authors":"Emma J Tussey, Gabriela R Perez, Shannon M Lynch","doi":"10.1093/sleepadvances/zpae012","DOIUrl":"10.1093/sleepadvances/zpae012","url":null,"abstract":"<p><strong>Study objectives: </strong>Given the barriers to good sleep in corrections facilities and the lack of research in this area, the current study aimed to characterize sleep quality and insomnia incidence in women in jail. Furthermore, we aimed to investigate the relation of sleep to depression, posttraumatic stress disorder (PTSD), and trauma exposure in incarcerated women. Lastly, we examined self-reports of environmental and individual factors that impaired sleeping in this population.</p><p><strong>Methods: </strong>Participants included 176 women incarcerated in two jails in southeast Idaho. Participants were randomly selected to complete several self-report questionnaires, including the Pittsburgh Sleep Quality Index and the Insomnia Severity Index, verbally administered by interviewers.</p><p><strong>Results: </strong>A majority of participants endorsed poor sleep quality (76%) and subthreshold or higher levels of insomnia (70%). Multiple regression analyses found that depressive symptoms and PTSD symptoms were both significantly related to insomnia and poor sleep quality. Excessive noise, poor bedding, and mental health were commonly cited factors that disrupted sleep.</p><p><strong>Conclusions: </strong>These results are consistent with previous literature that has examined these outcomes in prison populations and incarcerated populations in other countries. Correctional facilities can consider altering environmental factors that impair sleep to not only promote better overall health but also as a way to address common manifestations of poor mental health in their inmate populations. Screening for and treating mental health problems, namely depression and PTSD, is another way these facilities can improve inmate health and promote better sleep.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae012"},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10911691/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140029756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alice D LaGoy, Andrew G Kubala, Todd R Seech, Jason T Jameson, Rachel R Markwald, Dale W Russell
{"title":"Steps toward developing a comprehensive fatigue monitoring and mitigation solution: perspectives from a cohort of United States Naval Surface Force officers.","authors":"Alice D LaGoy, Andrew G Kubala, Todd R Seech, Jason T Jameson, Rachel R Markwald, Dale W Russell","doi":"10.1093/sleepadvances/zpae008","DOIUrl":"10.1093/sleepadvances/zpae008","url":null,"abstract":"<p><strong>Study objectives: </strong>This study analyzed fatigue and its management in US Naval Surface Force warships, focusing on understanding current practices and barriers, and examining the influence of organizational and individual factors on managing chronic fatigue. Furthermore, this study explored the impact of organizational and individual factors on fatigue management.</p><p><strong>Methods: </strong>As part of a larger study, 154 naval officers (mean ± standard deviation; 31.5 ± 7.0 years; 8.8 ± 6.8 years of service; 125 male, and 29 female) completed a fatigue survey. The survey addressed (1) self-reported fatigue, (2) fatigue observed in others, (3) fatigue monitoring strategies, (4) fatigue mitigation strategies, and (5) barriers to fatigue mitigation. Logistic and ordinal regressions were performed to examine the effect of individual (i.e. sleep quality and years in military service) and organizational (i.e. ship-class) factors on fatigue outcomes.</p><p><strong>Results: </strong>Fatigue was frequently experienced and observed by 23% and 54% of officers, respectively. Of note, officers often monitored fatigue reactively (i.e. 65% observed others nodding off and 55% observed behavioral impairments). Still, officers did not frequently implement fatigue mitigation strategies, citing few operationally feasible mitigation strategies (62.3%), being too busy (61.7%), and not having clear thresholds for action (48.7%). Fatigue management varies across organizational factors, which must be considered when further developing fatigue management strategies.</p><p><strong>Conclusions: </strong>Fatigue remains a critical concern aboard surface force ships and it may be better addressed through development of objective sleep and fatigue monitoring tools that could inform leadership decision-making.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"5 1","pages":"zpae008"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10904103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139998479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The family business: turning sleep into dreams.","authors":"Anthony Kales, Joyce D Kales, Helen C Kales","doi":"10.1093/sleepadvances/zpad036","DOIUrl":"10.1093/sleepadvances/zpad036","url":null,"abstract":"","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"4 1","pages":"zpad036"},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10752387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139049903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}