Impact of EEG-vigilance on brain glucose uptake measured with [18F]FDG and PET in patients with depressive episode or mild cognitive impairment
Impact of EEG-vigilance on brain glucose uptake measured with [18F]FDG and PET in patients with depressive episode or mild cognitive impairment
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DOI：
10.1016/j.neuroimage.2011.01.059
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发表时间：
2011-05-01
期刊：
影响因子：
5.7
通讯作者：
Sabri, Osama
中科院分区：
文献类型：
--
作者：
Guenther, Thomas;Schoenknecht, Peter;Sabri, Osama
前言：[F-18]脱氧葡萄糖正电子发射断层扫描([F-18]FDG-PET)是一种成熟的检查情感性障碍或记忆障碍患者大脑糖代谢的方法。一个研究不足的问题是，在PET记录过程中，通过脑电(EEG-警戒)评估中枢神经觉醒的个体间差异对结果有多大影响。基于以前的神经成像研究，我们假设脑电警觉性与[F-18]FDG-PET测量的归一化脑[F-18]FDG摄取(NFDGu)之间存在关联。本研究首次在常规诊断工作中探索性地研究了这种相关性。材料和方法：对14例抑郁发作或轻度认知障碍(MCI)患者同时进行静息状态下31导联EEG和[F-18]FDG-PET检查。使用VIGALL算法(Vigilance算法莱比锡)对EEG-Vigilance进行自动分类。结果：双侧额叶、颞叶、双侧扣带回和右侧丘脑的警觉与nFDGu呈显著负相关，nFDGu的警戒相关变化率在17.1~44.4%之间。讨论：与静息状态下的同步EEG和[F-18]FDG-PET显示，抑郁症和MCI患者与EEG警觉相关的脑区与nFDGu受损的脑区部分重叠。在情感障碍或记忆障碍患者中，与警觉性相关的nFDGu变化与先前报道的与疾病相关的代谢变化的幅度大致相同。因此，我们的数据表明，脑电警觉性的差异可能会影响抑郁症或MCI等疾病中nFDGu的变化。在[F-18]FDG-PET的常规诊断应用中，是否应该考虑警觉对nEDGu的这种可能的影响，还需要在未来对更大患者组的研究中进行探索。(C)2011 Elsevier Inc.保留所有权利。
Introduction: [F-18]fluorodeoxyglucose positron emission tomography ([F-18]FDG-PET) is a well-established method for the examination of the cerebral glucose metabolism of patients with affective disorder or memory impairment. An understudied question is how far results are influenced by interindividual differences in central nervous arousal as assessed with electroencephalogram (EEG-vigilance) during the PET recording. Building upon previous neuroimaging studies, we supposed an association between EEG-vigilance and normalized brain [F-18]FDG-uptake (nFDGu) as measured by [F-18]FDG-PET. For the first time, the present study exploratively investigated this association in a routine diagnostic work-up.Materials and methods: Simultaneous 31-channel EEG and [F-18]FDG-PET under resting conditions were acquired from 14 patients with depressive episode or mild cognitive impairment (MCI). EEG-vigilance was automatically classified by using the VIGALL algorithm (Vigilance Algorithm Leipzig). A nonparametric voxelwise simple linear regression with vigilance measure as predictor and nFDGu as criterion was performed using the Statistical nonParametric Mapping toolbox.Results: The main finding was a significant negative correlation between vigilance measure and nFDGu in bilateral frontal and temporal regions, bilateral cingulate gyrus and right thalamus with vigilance-related changes of nFDGu between 17.1 and 44.4%.Discussion: Simultaneous EEG and [F-18]FDG-PET under resting conditions revealed that brain regions associated with EEG-vigilance partly overlapped with regions of impaired nFDGu in depression and MCI, as reported by previous studies. Vigilance-related changes of nFDGu were about the same magnitude as disease-related metabolic changes in patients with affective disorder or memory impairment as reported in previous studies. Therefore, our data suggest that differences in EEG-vigilance might influence alterations of nFDGu in disorders such as depression or MCI. Whether this possible impact of vigilance on nEDGu should be taken into account during the routine diagnostic application of [F-18]FDG-PET has to be explored in future studies with larger patient groups. (C) 2011 Elsevier Inc. All rights reserved.