Zhang Linhao, Geier Charles, House Ellen, Oshri Assaf
Department of Human Development and Family Science, University of Georgia, Athens, Georgia, USA.
Department of Psychiatry and Health Behavior, Augusta University, Augusta, Georgia, USA.
Brain Behav. 2025 May;15(5):e70579. doi: 10.1002/brb3.70579.
The present study examined default mode network (DMN) neural connectivity patterns among adolescents. Next, we tested two critical markers of sleep health-duration and efficiency, in predicting neural connectivity patterns. Last, we investigated the latent DMN profiles' predictive utility of internalizing and externalizing symptoms in youth.
The study included 2811 youth (47.8% female; mean age = 11.94) enrolled in the Adolescent Brain Cognitive Development study. Sleep duration and efficiency were objectively measured via Fitbit wearable's (mean number of nights = 14.13). Latent profile analysis identified neural connectivity profiles within the DMN and between other networks (fronto-parietal, salience, ventral attention, and dorsal attention). Parents reported the youth's psychopathology symptoms.
Four DMN profiles were empirically identified: (1) moderate; (2) low within and high between; (3) high within and low between; and (4) high within and high between. Youth with shorter sleep duration were more likely to be classified as low within and high between subgroup. Youth with lower sleep efficiency were more likely to be classified as the high within and low between subgroup. There were between-group differences in externalizing problems one year later.
Our findings highlight unique neural patterns in youth and their associations with sleep and psychopathology. The results will inform clinical practice and preventive programming that attempts to address the crisis in youth mental health through a focus on mitigating sleep problems in youth.
本研究调查了青少年默认模式网络（DMN）的神经连接模式。接下来，我们测试了睡眠健康的两个关键指标——时长和效率，以预测神经连接模式。最后，我们研究了潜在的DMN概况对青少年内化和外化症状的预测效用。
该研究纳入了2811名参与青少年大脑认知发展研究的青少年（47.8%为女性；平均年龄=11.94岁）。通过Fitbit可穿戴设备客观测量睡眠时长和效率（平均记录夜晚数=14.13）。潜在概况分析确定了DMN内部以及与其他网络（额顶叶、突显、腹侧注意和背侧注意网络）之间的神经连接概况。父母报告了青少年的精神病理学症状。
通过实证确定了四种DMN概况：（1）中等；（2）内部低外部高；（3）内部高外部低；（4）内部高外部高。睡眠时长较短的青少年更有可能被归类为内部低外部高亚组。睡眠效率较低的青少年更有可能被归类为内部高外部低亚组。一年后，各亚组在外化问题上存在组间差异。
我们的研究结果突出了青少年独特的神经模式及其与睡眠和精神病理学的关联。这些结果将为临床实践和预防计划提供信息，这些计划试图通过关注减轻青少年睡眠问题来应对青少年心理健康危机。
