Nataliia Kozhemiako, Chenguang Jiang, Yifan Sun, Zhenglin Guo, Sinéad Chapman, Guanchen Gai, Zhe Wang, Lin Zhou, Shen Li, Robert G Law, Lei A Wang, Dimitrios Mylonas, Lu Shen, Michael Murphy, Shengying Qin, Wei Zhu, Zhenhe Zhou, Robert Stickgold, Hailiang Huang, Shuping Tan, Dara S Manoach, Jun Wang, Mei-Hua Hall, Jen Q Pan, Shaun M Purcell
{"title":"精神分裂症患者非快速眼动睡眠的改变谱系。","authors":"Nataliia Kozhemiako, Chenguang Jiang, Yifan Sun, Zhenglin Guo, Sinéad Chapman, Guanchen Gai, Zhe Wang, Lin Zhou, Shen Li, Robert G Law, Lei A Wang, Dimitrios Mylonas, Lu Shen, Michael Murphy, Shengying Qin, Wei Zhu, Zhenhe Zhou, Robert Stickgold, Hailiang Huang, Shuping Tan, Dara S Manoach, Jun Wang, Mei-Hua Hall, Jen Q Pan, Shaun M Purcell","doi":"10.1093/sleep/zsae218","DOIUrl":null,"url":null,"abstract":"<p><p>Multiple facets of sleep neurophysiology, including electroencephalography (EEG) metrics such as non-rapid eye movement (NREM) spindles and slow oscillations, are altered in individuals with schizophrenia (SCZ). However, beyond group-level analyses, the extent to which NREM deficits vary among patients is unclear, as are their relationships to other sources of heterogeneity including clinical factors, ageing, cognitive profiles and medication regimens. Using newly collected high-density sleep EEG data on 103 individuals with SCZ and 68 controls, we first sought to replicate our previously reported group-level differences between patients and controls (original N=130) during N2 stage. Then in the combined sample (N=301 including 175 patients), we characterized patient-to-patient variability. We replicated all group-level mean differences and confirmed the high accuracy of our predictive model (AUC=0.93 for diagnosis). Compared to controls, patients showed significantly increased between-individual variability across many (26%) sleep metrics. Although multiple clinical and cognitive factors were associated with NREM metrics, collectively they did not account for much of the general increase in patient-to-patient variability. Medication regimen was a greater contributor to variability. Some sleep metrics including fast spindle density showed exaggerated age-related effects in SCZ, and patients exhibited older predicted biological ages based on the sleep EEG; further, among patients, certain medications exacerbated these effects, in particular olanzapine. Collectively, our results point to a spectrum of N2 sleep deficits among SCZ patients that can be measured objectively and at scale, with relevance to both the etiological heterogeneity of SCZ as well as potential iatrogenic effects of antipsychotic medication.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A spectrum of altered non-rapid eye movement sleep in schizophrenia.\",\"authors\":\"Nataliia Kozhemiako, Chenguang Jiang, Yifan Sun, Zhenglin Guo, Sinéad Chapman, Guanchen Gai, Zhe Wang, Lin Zhou, Shen Li, Robert G Law, Lei A Wang, Dimitrios Mylonas, Lu Shen, Michael Murphy, Shengying Qin, Wei Zhu, Zhenhe Zhou, Robert Stickgold, Hailiang Huang, Shuping Tan, Dara S Manoach, Jun Wang, Mei-Hua Hall, Jen Q Pan, Shaun M Purcell\",\"doi\":\"10.1093/sleep/zsae218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Multiple facets of sleep neurophysiology, including electroencephalography (EEG) metrics such as non-rapid eye movement (NREM) spindles and slow oscillations, are altered in individuals with schizophrenia (SCZ). However, beyond group-level analyses, the extent to which NREM deficits vary among patients is unclear, as are their relationships to other sources of heterogeneity including clinical factors, ageing, cognitive profiles and medication regimens. Using newly collected high-density sleep EEG data on 103 individuals with SCZ and 68 controls, we first sought to replicate our previously reported group-level differences between patients and controls (original N=130) during N2 stage. Then in the combined sample (N=301 including 175 patients), we characterized patient-to-patient variability. We replicated all group-level mean differences and confirmed the high accuracy of our predictive model (AUC=0.93 for diagnosis). Compared to controls, patients showed significantly increased between-individual variability across many (26%) sleep metrics. Although multiple clinical and cognitive factors were associated with NREM metrics, collectively they did not account for much of the general increase in patient-to-patient variability. Medication regimen was a greater contributor to variability. Some sleep metrics including fast spindle density showed exaggerated age-related effects in SCZ, and patients exhibited older predicted biological ages based on the sleep EEG; further, among patients, certain medications exacerbated these effects, in particular olanzapine. 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A spectrum of altered non-rapid eye movement sleep in schizophrenia.
Multiple facets of sleep neurophysiology, including electroencephalography (EEG) metrics such as non-rapid eye movement (NREM) spindles and slow oscillations, are altered in individuals with schizophrenia (SCZ). However, beyond group-level analyses, the extent to which NREM deficits vary among patients is unclear, as are their relationships to other sources of heterogeneity including clinical factors, ageing, cognitive profiles and medication regimens. Using newly collected high-density sleep EEG data on 103 individuals with SCZ and 68 controls, we first sought to replicate our previously reported group-level differences between patients and controls (original N=130) during N2 stage. Then in the combined sample (N=301 including 175 patients), we characterized patient-to-patient variability. We replicated all group-level mean differences and confirmed the high accuracy of our predictive model (AUC=0.93 for diagnosis). Compared to controls, patients showed significantly increased between-individual variability across many (26%) sleep metrics. Although multiple clinical and cognitive factors were associated with NREM metrics, collectively they did not account for much of the general increase in patient-to-patient variability. Medication regimen was a greater contributor to variability. Some sleep metrics including fast spindle density showed exaggerated age-related effects in SCZ, and patients exhibited older predicted biological ages based on the sleep EEG; further, among patients, certain medications exacerbated these effects, in particular olanzapine. Collectively, our results point to a spectrum of N2 sleep deficits among SCZ patients that can be measured objectively and at scale, with relevance to both the etiological heterogeneity of SCZ as well as potential iatrogenic effects of antipsychotic medication.
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