Penn Lifespan Informatics and Neuroimaging Center (PennLINC), University of Pennsylvania, Richards Building, 5th Floor, Suite 5A, 3700 Hamilton Walk, Philadelphia, PA 19104, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Penn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Cell Rep. 2022 Mar 29;38(13):110576. doi: 10.1016/j.celrep.2022.110576.
The functions of the human brain are metabolically expensive and reliant on coupling between cerebral blood flow (CBF) and neural activity, yet how this coupling evolves over development remains unexplored. Here, we examine the relationship between CBF, measured by arterial spin labeling, and the amplitude of low-frequency fluctuations (ALFF) from resting-state magnetic resonance imaging across a sample of 831 children (478 females, aged 8-22 years) from the Philadelphia Neurodevelopmental Cohort. We first use locally weighted regressions on the cortical surface to quantify CBF-ALFF coupling. We relate coupling to age, sex, and executive functioning with generalized additive models and assess network enrichment via spin testing. We demonstrate regionally specific changes in coupling over age and show that variations in coupling are related to biological sex and executive function. Our results highlight the importance of CBF-ALFF coupling throughout development; we discuss its potential as a future target for the study of neuropsychiatric diseases.
人脑的功能代谢成本高，依赖于脑血流 (CBF) 和神经活动之间的耦合，但这种耦合如何在发育过程中演变仍未被探索。在这里，我们通过动脉自旋标记法测量的脑血流 (CBF) 与来自费城神经发育队列的 831 名儿童 (478 名女性，年龄 8-22 岁) 的静息状态磁共振成像的低频波动幅度 (ALFF) 之间的关系进行了研究。我们首先使用皮质表面上的局部加权回归来量化 CBF-ALFF 耦合。我们使用广义加性模型将耦合与年龄、性别和执行功能相关联，并通过自旋测试评估网络富集。我们证明了耦合在年龄上的区域特异性变化，并表明耦合的变化与生物性别和执行功能有关。我们的结果强调了 CBF-ALFF 耦合在整个发育过程中的重要性;我们讨论了它作为神经精神疾病研究未来目标的潜力。
