Fernández T, Harmony T, Rodríguez M, Bernal J, Silva J, Reyes A, Marosi E
ENEP Iztacala Universidad Nacional Autónoma de México, Mexico City, D.F.
Electroencephalogr Clin Neurophysiol. 1995 Mar;94(3):175-82. doi: 10.1016/0013-4694(94)00262-j.
In this study we demonstrate the existence of different patterns of EEG activation during the performance of 4 different tasks involving different components of mental calculation in normal subjects. The EEG was recorded in all monopolar leads of the 10/20 system using linked ear lobes as reference. Absolute and relative power were calculated in the delta (1.5-3.5 Hz), theta (3.5-7.5 Hz), alpha (7.5-12.5 Hz) and beta (12.5-19 Hz) bands. The tasks were presented randomly and the EEG segments preceding presentation of the stimulus were considered as the rest corresponding to the task requested by the stimulus. Tasks were of 4 different types, involving number comprehension, recognition of mathematical symbols, the calculation process and the spatial component. ANOVAs between the rest periods showed no differences in any band. Neither did ANOVAs between tasks. However, other variables (task minus rest), which were calculated as the differences in power between task and rest respectively, showed significant differences between tasks in the delta and beta bands in the frontal lobes. In addition, new variables were calculated as the difference between tasks, since many factors were common across several tasks. These variables correspond to the EEG change due to a specific component of mental calculation. Significant differences were obtained in delta and theta bands in right posterior areas and in the beta band in frontal areas. We concluded that the EEG differences observed during different components of mental calculation suggest the participation of different networks.
在本研究中，我们证明了正常受试者在执行涉及心算不同组成部分的4种不同任务时，存在不同模式的脑电图激活。使用耳垂相连作为参考，在10/20系统的所有单极导联中记录脑电图。计算了δ（1.5 - 3.5赫兹）、θ（3.5 - 7.5赫兹）、α（7.5 - 12.5赫兹）和β（12.5 - 19赫兹）频段的绝对功率和相对功率。任务随机呈现，刺激呈现前的脑电图片段被视为与刺激所要求任务相对应的静息状态。任务有4种不同类型，涉及数字理解、数学符号识别、计算过程和空间成分。静息期之间的方差分析在任何频段均未显示出差异。任务之间的方差分析也未显示出差异。然而，其他变量（任务减去静息），分别计算为任务和静息之间的功率差异，在前额叶的δ和β频段中，任务之间显示出显著差异。此外，由于多个任务中有许多共同因素，计算了新的变量作为任务之间的差异。这些变量对应于心算特定组成部分引起的脑电图变化。在右后区域的δ和θ频段以及额叶区域的β频段中获得了显著差异。我们得出结论，在心算不同组成部分期间观察到的脑电图差异表明不同网络的参与。
