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, aging, 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 the 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 (area under the receiver operating characteristic curve [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. The 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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Publication Details

Journal
SLEEP
Published
2024-09-19
DOI
https://doi.org/10.1093/sleep/zsae218
Citations
6
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
2.06
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article

A spectrum of altered non-rapid eye movement sleep in schizophrenia

Dimitrios Mylonas, Jen Q. Pan, Zhenhe Zhou, Michael Murphy et al.
6 citations
SLEEP
Sleep and Wakefulness Research
2.06
article

A spectrum of altered non-rapid eye movement sleep in schizophrenia

Dimitrios Mylonas, Jen Q. Pan, Zhenhe Zhou, Michael Murphy, Nataliia Kozhemiako, Hailiang Huang, Lin Zhou, Shuping Tan, Shengying Qin, Mei‐Hua Hall, Yifan Sun, Guanchen Gai, Shaun Purcell, Robert Law, Zhenglin Guo, Robert Stickgold, Dara S. Manoach, Sinéad B. Chapman, Zhe Wang, Lei Wang, Jun Wang, Shen Li, Lu Shen, Chenguang Jiang
article en
6 citations

Abstract

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, aging, 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 the 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 (area under the receiver operating characteristic curve [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. The 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.

SLEEPVol. 48(2)
Broad Institute (US), Boston University (US), Jiangnan University (CN), Brigham and Women's Hospital (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), Shanghai Jiao Tong University (CN), McLean Hospital (US), Massachusetts General Hospital (US), Ministry of Education (KR), Wuxi Fourth People's Hospital (CN), Beijing HuiLongGuan Hospital (CN)
Good health and well-being
Openalex Percentile: Top 13%
Sleep and Wakefulness Research
2.06
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