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Correspondence between cerebral glucose metabolism and BOLD reveals relative power and cost in human brain.
Nature Communications ( IF 14.7 ) Pub Date : 2019-02-11 , DOI: 10.1038/s41467-019-08546-x Ehsan Shokri-Kojori 1 , Dardo Tomasi 1 , Babak Alipanahi 2 , Corinde E Wiers 1 , Gene-Jack Wang 1 , Nora D Volkow 1, 3
Nature Communications ( IF 14.7 ) Pub Date : 2019-02-11 , DOI: 10.1038/s41467-019-08546-x Ehsan Shokri-Kojori 1 , Dardo Tomasi 1 , Babak Alipanahi 2 , Corinde E Wiers 1 , Gene-Jack Wang 1 , Nora D Volkow 1, 3
Affiliation
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.
中文翻译:
脑葡萄糖代谢与BOLD之间的对应关系揭示了人脑的相对功能和成本。
脑葡萄糖代谢(索引能量利用)与血液氧合同步波动(索引神经元活动)之间的对应关系与神经元专长有关,并受脑部疾病的影响。在这里,我们定义了源自FDG-PET和fMRI的相对功率(rPWR,同时利用能量和活动的程度)和相对成本(rCST,能量利用超过活动的程度)的新颖度量。我们显示,静止状态网络具有独特的能量特征,并且基于rPWR和rCST,大脑可以分为主要的双边部分。视听和默认模式网络的rPWR最高,而额腹网络的rCST最高。rPWR和rCST估计值可以推广到其他能量供应和神经元活动指标,并且对急性和慢性酒精暴露的神经认知作用敏感。rPWR和rCST是表征脑部病理和替代能源使用的信息量度,并可能提供神经精神疾病的新的多峰生物标志物。
更新日期:2019-02-11
中文翻译:
脑葡萄糖代谢与BOLD之间的对应关系揭示了人脑的相对功能和成本。
脑葡萄糖代谢(索引能量利用)与血液氧合同步波动(索引神经元活动)之间的对应关系与神经元专长有关,并受脑部疾病的影响。在这里,我们定义了源自FDG-PET和fMRI的相对功率(rPWR,同时利用能量和活动的程度)和相对成本(rCST,能量利用超过活动的程度)的新颖度量。我们显示,静止状态网络具有独特的能量特征,并且基于rPWR和rCST,大脑可以分为主要的双边部分。视听和默认模式网络的rPWR最高,而额腹网络的rCST最高。rPWR和rCST估计值可以推广到其他能量供应和神经元活动指标,并且对急性和慢性酒精暴露的神经认知作用敏感。rPWR和rCST是表征脑部病理和替代能源使用的信息量度,并可能提供神经精神疾病的新的多峰生物标志物。