Kozhemiako Nataliia, Jiang Chenguang, Sun Yifan, Guo Zhenglin, Chapman Sinéad, Gai Guanchen, Wang Zhe, Zhou Lin, Li Shen, Law Robert G, Wang Lei A, Mylonas Dimitrios, Shen Lu, Murphy Michael, Qin Shengying, Zhu Wei, Zhou Zhenhe, Stickgold Robert, Huang Hailiang, Tan Shuping, Manoach Dara S, Wang Jun, Hall Mei-Hua, Pan Jen Q, Purcell Shaun M
Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China.
Sleep. 2025 Feb 10;48(2). doi: 10.1093/sleep/zsae218.
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.
睡眠神经生理学的多个方面,包括脑电图(EEG)指标,如非快速眼动(NREM)纺锤波和慢波振荡,在精神分裂症(SCZ)患者中会发生改变。然而,除了组间分析之外,NREM缺陷在患者之间的差异程度尚不清楚,它们与包括临床因素、衰老、认知特征和药物治疗方案在内的其他异质性来源之间的关系也不清楚。利用新收集的103例SCZ患者和68例对照的高密度睡眠EEG数据,我们首先试图在N2阶段重现我们之前报道的患者与对照(原始N = 130)之间的组间差异。然后在合并样本(N = 301,包括175例患者)中,我们对患者之间的变异性进行了特征描述。我们重现了所有组间平均差异,并证实了我们预测模型的高准确性(诊断的受试者操作特征曲线下面积[AUC] = 0.93)。与对照组相比,患者在许多(26%)睡眠指标上的个体间变异性显著增加。尽管多种临床和认知因素与NREM指标相关,但总体而言,它们并不能解释患者间变异性普遍增加的大部分原因。药物治疗方案对变异性的影响更大。一些睡眠指标,包括快纺锤波密度,在SCZ中显示出与年龄相关的夸张效应,并且患者基于睡眠EEG表现出更高的预测生物学年龄;此外,在患者中,某些药物加剧了这些效应,尤其是奥氮平。总体而言,我们的结果表明SCZ患者中存在一系列可客观测量且规模可观的N2睡眠缺陷,这与SCZ的病因异质性以及抗精神病药物潜在的医源性效应均相关。