National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, 20892, MD, USA.
Mountain View, California, USA.
Nat Commun. 2019 Feb 11;10(1):690. doi: 10.1038/s41467-019-08546-x.
The correspondence between cerebral glucose metabolism (indexing energy utilization) and synchronous fluctuations in blood oxygenation (indexing neuronal activity) is relevant for neuronal specialization and is affected by brain disorders. Here, we define novel measures of relative power (rPWR, extent of concurrent energy utilization and activity) and relative cost (rCST, extent that energy utilization exceeds activity), derived from FDG-PET and fMRI. We show that resting-state networks have distinct energetic signatures and that brain could be classified into major bilateral segments based on rPWR and rCST. While medial-visual and default-mode networks have the highest rPWR, frontoparietal networks have the highest rCST. rPWR and rCST estimates are generalizable to other indexes of energy supply and neuronal activity, and are sensitive to neurocognitive effects of acute and chronic alcohol exposure. rPWR and rCST are informative metrics for characterizing brain pathology and alternative energy use, and may provide new multimodal biomarkers of neuropsychiatric disorders.
大脑葡萄糖代谢（反映能量利用情况）与血氧同步波动（反映神经元活动情况）之间的相关性对于神经元的特化很重要，并且受到脑部疾病的影响。在这里，我们定义了来自 FDG-PET 和 fMRI 的相对功率 (rPWR，能量利用和活动的并发程度) 和相对成本 (rCST，能量利用超过活动的程度) 的新度量。我们表明，静息态网络具有不同的能量特征，并且可以根据 rPWR 和 rCST 将大脑分为主要的双侧区域。虽然内侧视觉和默认模式网络具有最高的 rPWR，但额顶叶网络具有最高的 rCST。rPWR 和 rCST 的估计值可推广到其他能量供应和神经元活动的指标，并且对急性和慢性酒精暴露的神经认知效应敏感。rPWR 和 rCST 是用于描述大脑病理和替代能量利用的有用指标，并且可能为神经精神疾病提供新的多模态生物标志物。
