Template-based prediction of vigilance fluctuations in resting-state fMRI.
Template-based prediction of vigilance fluctuations in resting-state fMRI.
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DOI：
10.1016/j.neuroimage.2018.03.012
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发表时间：
2018-07-01
期刊：
影响因子：
5.7
通讯作者：
Liu TT
中科院分区：
文献类型：
--
作者：
Falahpour M;Chang C;Wong CW;Liu TT
在典型的静息状态功能磁共振成像扫描期间，警惕性或警觉性的变化是不可避免的，并且已被发现会影响功能性大脑连接的测量。由于在功能磁共振成像扫描期间用脑电图监测警惕性通常不太可行，因此拥有仅根据功能磁共振数据估计警惕性水平的方法将具有很大的价值。最近在猕猴身上进行的一项研究提出了一种基于模板的方法，用于基于功能磁共振成像的警惕性波动估计。在这里，我们使用同时采集的脑电图/功能磁共振成像数据来研究是否可以采用相同的基于模板的方法来估计清醒人类在不同静息状态条件下的警惕性波动。我们首先证明我们的数据中脑电图定义的警惕性和功能磁共振成像之间相关性的空间模式与之前的文献一致。然而，值得注意的是，我们观察到闭眼（EC）和睁眼（EO）条件之间存在显着差异，发现与 EO 条件相比，形成默认模式网络的区域与警惕性具有更强的负相关性，并且在 EC 条件下丘脑和岛叶具有更高的正相关性。将这些相关图作为警惕性估计的“模板”，我们发现基于模板的方法产生了基于功能磁共振成像的警惕性估计，该估计与基于脑电图的警惕性测量显着相关，表明其从猕猴到人类的普遍性。我们还证明，该方法的性能与受试者警觉状态的总体变异量有关，并且基于模板的方法优于使用全局信号作为警觉估计器。此外，我们还表明，基于模板的方法可用于估计扫描中警惕性波动幅度的变异性。我们讨论在未来功能磁共振成像研究中使用基于模板的方法的好处和权衡。
Changes in vigilance or alertness during a typical resting state fMRI scan are inevitable and have been found to affect measures of functional brain connectivity. Since it is not often feasible to monitor vigilance with EEG during fMRI scans, it would be of great value to have methods for estimating vigilance levels from fMRI data alone. A recent study, conducted in macaque monkeys, proposed a template-based approach for fMRI-based estimation of vigilance fluctuations. Here, we use simultaneously acquired EEG/fMRI data to investigate whether the same template-based approach can be employed to estimate vigilance fluctuations of awake humans across different resting-state conditions. We first demonstrate that the spatial pattern of correlations between EEG-defined vigilance and fMRI in our data is consistent with the previous literature. Notably, however, we observed a significant difference between the eyes-closed (EC) and eyes-open (EO) conditions finding stronger negative correlations with vigilance in regions forming the default mode network and higher positive correlations in thalamus and insula in the EC condition when compared to the EO condition. Taking these correlation maps as “templates” for vigilance estimation, we found that the template-based approach produced fMRI-based vigilance estimates that were significantly correlated with EEG-based vigilance measures, indicating its generalizability from macaques to humans. We also demonstrate that the performance of this method was related to the overall amount of variability in a subject’s vigilance state, and that the template-based approach outperformed the use of the global signal as a vigilance estimator. In addition, we show that the template-based approach can be used to estimate the variability across scans in the amplitude of the vigilance fluctuations. We discuss the benefits and tradeoffs of using the template-based approach in future fMRI studies.
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DOI：
10.1073/pnas.0900924106
发表时间：
2009-03-17
影响因子：
11.1
作者：
Larson-Prior, Linda J.;Zempel, John M.;Raichle, Marcus E.
通讯作者：
Raichle, Marcus E.
影响因子：
5.7
作者：
Hutchison RM;Womelsdorf T;Allen EA;Bandettini PA;Calhoun VD;Corbetta M;Della Penna S;Duyn JH;Glover GH;Gonzalez-Castillo J;Handwerker DA;Keilholz S;Kiviniemi V;Leopold DA;de Pasquale F;Sporns O;Walter M;Chang C
通讯作者：
Chang C
影响因子：
5.7
作者：
Chang, Catie;Liu, Zhongming;Chen, Michael C.;Liu, Xiao;Duyn, Jeff H.
通讯作者：
Duyn, Jeff H.
DOI：
10.1073/pnas.1520613113
发表时间：
2016-04-19
影响因子：
11.1
作者：
Chang, Catie;Leopold, David A.;Duyn, Jeff H.
通讯作者：
Duyn, Jeff H.
DOI：
10.1196/annals.1440.011
发表时间：
2008-01-01
期刊：
YEAR IN COGNITIVE NEUROSCIENCE 2008
影响因子：
--
作者：
Buckner, Randy L.;Andrews-Hanna, Jessica R.;Schacter, Daniel L.
通讯作者：
Schacter, Daniel L.