Thatcher R W, North D, Biver C
EEG and NeuroImaging Laboratory, Bay Pines VA Medical Center, St. Petersburg, Florida 33744, USA.
Hum Brain Mapp. 2007 Feb;28(2):118-33. doi: 10.1002/hbm.20260.
The purpose of this study was to compare EEG current source densities in high IQ subjects vs. low IQ subjects. Resting eyes closed EEG was recorded from 19 scalp locations with a linked ears reference from 442 subjects ages 5 to 52 years. The Wechsler Intelligence Test was administered and subjects were divided into low IQ (< or =90), middle IQ (>90 to <120) and high IQ (> or =120) groups. Low-resolution electromagnetic tomographic current densities (LORETA) from 2,394 cortical gray matter voxels were computed from 1-30 Hz based on each subject's EEG. Differences in current densities using t tests, multivariate analyses of covariance, and regression analyses were used to evaluate the relationships between IQ and current density in Brodmann area groupings of cortical gray matter voxels. Frontal, temporal, parietal, and occipital regions of interest (ROIs) consistently exhibited a direct relationship between LORETA current density and IQ. Maximal t test differences were present at 4 Hz, 9 Hz, 13 Hz, 18 Hz, and 30 Hz with different anatomical regions showing different maxima. Linear regression fits from low to high IQ groups were statistically significant (P < 0.0001). Intelligence is directly related to a general level of arousal and to the synchrony of neural populations driven by thalamo-cortical resonances. A traveling frame model of sequential microstates is hypothesized to explain the results.
本研究的目的是比较高智商受试者与低智商受试者的脑电图电流源密度。对442名年龄在5至52岁之间的受试者,采用双耳连接参考电极,从19个头皮部位记录闭眼静息状态下的脑电图。进行韦氏智力测验,并将受试者分为低智商组(≤90)、中等智商组(>90至<120)和高智商组(≥120)。根据每个受试者的脑电图,计算1至30赫兹范围内2394个皮质灰质体素的低分辨率电磁断层扫描电流密度(LORETA)。使用t检验、多变量协方差分析和回归分析来评估电流密度差异,以评价皮质灰质体素的布罗德曼区域分组中智商与电流密度之间的关系。额叶、颞叶、顶叶和枕叶感兴趣区域(ROI)的LORETA电流密度与智商始终呈现直接关系。在4赫兹、9赫兹、13赫兹、18赫兹和30赫兹时出现最大t检验差异,不同解剖区域显示出不同的最大值。从低智商组到高智商组的线性回归拟合具有统计学意义(P<0.0001)。智力与一般觉醒水平以及丘脑 - 皮质共振驱动的神经群体同步性直接相关。假设一个连续微状态的移动框架模型来解释这些结果。