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静息清醒状态下人类大脑的谷氨酸能功能由高度统一的氧化能量支持。

Glutamatergic function in the resting awake human brain is supported by uniformly high oxidative energy.

机构信息

Magnetic Resonance Research Center, Yale University, New Haven, Connecticut 06520, USA.

出版信息

J Cereb Blood Flow Metab. 2013 Mar;33(3):339-47. doi: 10.1038/jcbfm.2012.207. Epub 2013 Jan 9.

Abstract

Rodent (13)C magnetic resonance spectroscopy studies show that glutamatergic signaling requires high oxidative energy in the awake resting state and allowed calibration of functional magnetic resonance imaging (fMRI) signal in terms of energy relative to the resting energy. Here, we derived energy used for glutamatergic signaling in the awake resting human. We analyzed human data of electroencephalography (EEG), positron emission tomography (PET) maps of oxygen (CMR(O2)) and glucose (CMR(glc)) utilization, and calibrated fMRI from a variety of experimental conditions. CMR(glc) and EEG in the visual cortex were tightly coupled over several conditions, showing that the oxidative demand for signaling was four times greater than the demand for nonsignaling events in the awake state. Variations of CMR(O2) and CMR(glc) from gray-matter regions and networks were within ±10% of means, suggesting that most areas required similar energy for ubiquitously high resting activity. Human calibrated fMRI results suggest that changes of fMRI signal in cognitive studies contribute at most ±10% CMR(O2) changes from rest. The PET data of sleep, vegetative state, and anesthesia show metabolic reductions from rest, uniformly >20% across, indicating no region is selectively reduced when consciousness is lost. Future clinical investigations will benefit from using quantitative metabolic measures.

摘要

啮齿动物 (13)C 磁共振波谱研究表明,谷氨酸能信号在清醒静息状态下需要高氧化能量,并允许根据能量相对于静息能量对功能磁共振成像 (fMRI) 信号进行校准。在这里,我们推导出了在清醒静息状态下人类谷氨酸能信号的能量使用情况。我们分析了来自各种实验条件的人类脑电图 (EEG)、氧 (CMR(O2)) 和葡萄糖 (CMR(glc)) 利用的正电子发射断层扫描 (PET) 图谱以及从 fMRI 校准的数据。在几种条件下,视觉皮层的 CMR(glc) 和 EEG 紧密耦合,表明信号的氧化需求是清醒状态下非信号事件需求的四倍。灰质区域和网络的 CMR(O2) 和 CMR(glc) 的变化在平均值的 ±10% 以内,这表明大多数区域需要类似的能量来维持普遍存在的高静息活动。人类校准的 fMRI 结果表明,认知研究中 fMRI 信号的变化最多贡献了静息状态下 ±10% 的 CMR(O2) 变化。睡眠、植物状态和麻醉的 PET 数据显示代谢从静息状态减少,普遍减少超过 20%,表明当意识丧失时,没有区域会被选择性地减少。未来的临床研究将受益于使用定量代谢测量。

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