阿尔法节律与默认模式网络之间的关系：一项脑电图-功能磁共振成像研究。
Relationship Between Alpha Rhythm and the Default Mode Network: An EEG-fMRI Study.
作者信息
Bowman Anthony D, Griffis Joseph C, Visscher Kristina M, Dobbins Allan C, Gawne Timothy J, DiFrancesco Mark W, Szaflarski Jerzy P
机构信息
Departments of *Biomedical Engineering, †Psychology, ‡Neurobiology, and §Vision Sciences, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.; ‖Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, U.S.A.; and ¶Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
出版信息
J Clin Neurophysiol. 2017 Nov;34(6):527-533. doi: 10.1097/WNP.0000000000000411.
PURPOSE
Reports of the relationship between the default mode network (DMN) and alpha power are conflicting. Our goal was to assess this relationship by analyzing concurrently obtained EEG/functional MRI data using hypothesis-independent methods.
METHODS
We collected functional MRI and EEG data during eyes-closed rest in 20 participants aged 19 to 37 (10 females) and performed independent component analysis on the functional MRI data and a Hamming-windowed fast Fourier transform on the EEG data. We correlated functional MRI fluctuations in the DMN with alpha power.
RESULTS
Of the six independent components found to have significant relationships with alpha, four contained DMN-associated regions: One independent component was positively correlated with alpha power, whereas all others were negatively correlated. Furthermore, two independent components with opposite relationships with alpha had overlapping voxels in the medial prefrontal cortex and posterior cingulate cortex, suggesting that subpopulations of neurons within these classic nodes within the DMN may have different relationships to alpha power.
CONCLUSIONS
Different parts of the DMN exhibit divergent relationships to alpha power. Our results highlight the relationship between DMN activity and alpha power, indicating that networks, such as the DMN, may have subcomponents that exhibit different behaviors.
目的
关于默认模式网络（DMN）与α波功率之间关系的报告相互矛盾。我们的目标是通过使用独立于假设的方法分析同时获取的脑电图/功能磁共振成像数据来评估这种关系。
方法
我们收集了20名年龄在19至37岁之间（10名女性）的参与者在闭眼休息期间的功能磁共振成像和脑电图数据，并对功能磁共振成像数据进行独立成分分析，对脑电图数据进行汉明窗快速傅里叶变换。我们将DMN中的功能磁共振成像波动与α波功率进行了关联。
结果
在发现与α波有显著关系的六个独立成分中，有四个包含与DMN相关的区域：一个独立成分与α波功率呈正相关，而其他所有成分均呈负相关。此外，与α波具有相反关系的两个独立成分在内侧前额叶皮层和后扣带回皮层中具有重叠的体素，这表明DMN内这些经典节点内的神经元亚群可能与α波功率具有不同的关系。
结论
DMN的不同部分与α波功率表现出不同的关系。我们的结果突出了DMN活动与α波功率之间的关系，表明诸如DMN之类的网络可能具有表现出不同行为的子成分。
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