电机性能(MP)对于功能独立性和幸福感至关重要,尤其是在以后的生活中。然而,睡眠质量和抑郁症状等行为方面之间的关系,这有助于MP,它们相互作用的潜在结构大脑基质仍不清楚。这项研究使用了三个基于人群的年轻人和老年人队列(n=1,950),来自人类连接组项目-年轻人(HCP-YA),HCP老化(HCP-A),并增强了内森·克莱恩研究所-罗克兰样本(eNKI-RS)。在机器学习框架内计算了几个典型相关分析,以评估三个领域(睡眠质量,抑郁症状,灰质体积(GMV))和MP。HCP-YA分析显示MP与每个领域之间的相关性逐渐增强:抑郁症状(出乎意料的阳性,r=0.13,SD=0.06),睡眠质量(r=0.17,SD=0.05),GMV(r=0.19,SD=0.06)。睡眠和抑郁症状的结合显着改善了典型相关性(r=0.25,SD=0.05),而GMV的添加没有表现出进一步的增加(r=0.23,SD=0.06)。在年轻人中,更好的睡眠质量,轻度抑郁症状,多个脑区的GMV与更好的MP相关。从概念上讲,这在eNKI-RS队列的年轻人中得到了复制。在HCP衰老中,更好的睡眠质量,抑郁症状减少,GMV升高与MP相关。观察到睡眠质量之间的稳健多变量关联,抑郁症状和MP的GMV,以及这些因素中与年龄相关的变化。未来的研究应该进一步探索这些关联,并考虑针对睡眠和心理健康的干预措施,以测试在整个生命周期中对MP的潜在影响。
Motor performance (MP) is essential for functional independence and well-being, particularly in later life. However, the relationship between behavioural aspects such as sleep quality and depressive symptoms, which contribute to MP, and the underlying structural brain substrates of their interplay remains unclear. This study used three population-based cohorts of younger and older adults (n=1,950) from the Human Connectome Project-Young Adult (HCP-YA), HCP-Aging (HCP-A), and enhanced Nathan Kline Institute-Rockland sample (eNKI-RS). Several canonical correlation analyses were computed within a machine learning framework to assess the associations between each of the three domains (sleep quality, depressive symptoms, grey matter volume (GMV)) and MP. The HCP-YA analyses showed progressively stronger associations between MP and each domain: depressive symptoms (unexpectedly positive, r=0.13, SD=0.06), sleep quality (r=0.17, SD=0.05), and GMV (r=0.19, SD=0.06). Combining sleep and depressive symptoms significantly improved the canonical correlations (r=0.25, SD=0.05), while the addition of GMV exhibited no further increase (r=0.23, SD=0.06). In young adults, better sleep quality, mild depressive symptoms, and GMV of several brain regions were associated with better MP. This was conceptually replicated in young adults from the eNKI-RS cohort. In HCP-Aging, better sleep quality, fewer depressive symptoms, and increased GMV were associated with MP. Robust multivariate associations were observed between sleep quality, depressive symptoms and GMV with MP, as well as age-related variations in these factors. Future studies should further explore these associations and consider interventions targeting sleep and mental health to test the potential effects on MP across the lifespan.