Laufs H, Kleinschmidt A, Beyerle A, Eger E, Salek-Haddadi A, Preibisch C, Krakow K
Department of Neurology, Johann Wolfgang Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
Neuroimage. 2003 Aug;19(4):1463-76. doi: 10.1016/s1053-8119(03)00286-6.
Electroencephalography-correlated functional magnetic resonance imaging (EEG/fMRI) can be used to identify blood oxygen level-dependent (BOLD) signal changes associated with both physiological and pathological EEG events. Here, we implemented continuous and simultaneous EEG/fMRI to identify BOLD signal changes related to spontaneous power fluctuations in the alpha rhythm (8-12 Hz), the dominant EEG pattern during relaxed wakefulness. Thirty-two channels of EEG were recorded in 10 subjects during eyes-closed rest inside a 1.5-T magnet resonance (MR) scanner using an MR-compatible EEG recording system. Functional scanning by echoplanar imaging covered almost the entire cerebrum every 4 s. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during fMRI acquisition. The average alpha power over 1-s epochs was derived at several electrode positions using a Fast Fourier Transform. The power time course was then convolved with a canonical hemodynamic response function, down-sampled, and used for statistical parametric mapping of associated signal changes in the image time series. At all electrode positions studied, a strong negative correlation of parietal and frontal cortical activity with alpha power was found. Conversely, only sparse and nonsystematic positive correlation was detected. The relevance of these findings is discussed in view of the current theories on the generation and significance of the alpha rhythm and the related functional neuroimaging findings.
脑电图相关功能磁共振成像(EEG/fMRI)可用于识别与生理和病理脑电事件相关的血氧水平依赖(BOLD)信号变化。在此,我们实施了连续同步的EEG/fMRI,以识别与阿尔法节律(8 - 12赫兹)的自发功率波动相关的BOLD信号变化,阿尔法节律是清醒放松状态下的主要脑电模式。使用与磁共振兼容的脑电记录系统,在1.5特斯拉磁共振(MR)扫描仪内对10名受试者闭眼休息时记录32通道脑电。每4秒通过回波平面成像进行一次功能扫描,覆盖几乎整个大脑。应用离线磁共振成像伪影减法软件在功能磁共振成像采集期间获取连续脑电数据。使用快速傅里叶变换在几个电极位置得出1秒时段内的平均阿尔法功率。然后将功率时间历程与典型血液动力学响应函数进行卷积、下采样,并用于图像时间序列中相关信号变化的统计参数映射。在所研究的所有电极位置,发现顶叶和额叶皮质活动与阿尔法功率呈强负相关。相反,仅检测到稀疏且无系统规律的正相关。鉴于当前关于阿尔法节律的产生及其意义的理论以及相关功能神经影像学研究结果,对这些发现的相关性进行了讨论。