Department of Psychology, The University of Chicago, Chicago, Illinois, USA.
Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA.
Hum Brain Mapp. 2023 Dec 15;44(18):6293-6307. doi: 10.1002/hbm.26488. Epub 2023 Nov 2.
Sleep is critical to a variety of cognitive functions and insufficient sleep can have negative consequences for mood and behavior across the lifespan. An important open question is how sleep duration is related to functional brain organization which may in turn impact cognition. To characterize the functional brain networks related to sleep across youth and young adulthood, we analyzed data from the publicly available Human Connectome Project (HCP) dataset, which includes n-back task-based and resting-state fMRI data from adults aged 22-35 years (task n = 896; rest n = 898). We applied connectome-based predictive modeling (CPM) to predict participants' mean sleep duration from their functional connectivity patterns. Models trained and tested using 10-fold cross-validation predicted self-reported average sleep duration for the past month from n-back task and resting-state connectivity patterns. We replicated this finding in data from the 2-year follow-up study session of the Adolescent Brain Cognitive Development (ABCD) Study, which also includes n-back task and resting-state fMRI for adolescents aged 11-12 years (task n = 786; rest n = 1274) as well as Fitbit data reflecting average sleep duration per night over an average duration of 23.97 days. CPMs trained and tested with 10-fold cross-validation again predicted sleep duration from n-back task and resting-state functional connectivity patterns. Furthermore, demonstrating that predictive models are robust across independent datasets, CPMs trained on rest data from the HCP sample successfully generalized to predict sleep duration in the ABCD Study sample and vice versa. Thus, common resting-state functional brain connectivity patterns reflect sleep duration in youth and young adults.
睡眠对于各种认知功能至关重要，睡眠不足会对整个生命周期的情绪和行为产生负面影响。一个重要的开放性问题是，睡眠时间与大脑功能组织之间的关系如何，而大脑功能组织又可能反过来影响认知。为了描述青少年和青年期与睡眠相关的大脑功能网络，我们分析了来自公开的人类连接组计划（HCP）数据集的数据，该数据集包括年龄在 22-35 岁的成年人的 n-back 任务和静息态 fMRI 数据（任务 n=896；静息 n=898）。我们应用基于连接体的预测建模（CPM），从功能连接模式预测参与者的平均睡眠时间。使用 10 折交叉验证训练和测试的模型，从 n-back 任务和静息态连接模式预测过去一个月的自我报告平均睡眠时间。我们在青少年大脑认知发展研究（ABCD）的 2 年随访研究中复制了这一发现，该研究还包括年龄在 11-12 岁的青少年的 n-back 任务和静息态 fMRI（任务 n=786；静息 n=1274）以及 Fitbit 数据，反映了平均 23.97 天内每晚的平均睡眠时间。再次使用 10 折交叉验证训练和测试的 CPM 从 n-back 任务和静息态功能连接模式预测了睡眠时间。此外，证明预测模型在独立数据集之间具有稳健性，从 HCP 样本的静息数据训练的 CPM 成功地推广到预测 ABCD 研究样本的睡眠时间，反之亦然。因此，常见的静息态大脑功能连接模式反映了青少年和青年期的睡眠时间。
