Basile Luis F H, Anghinah Renato, Ribeiro Pedro, Ramos Renato T, Piedade Roberto, Ballester Gerson, Brunetti Enzo P
Laboratory of Psychophysiology, Faculdade de Psicologia e Fonoaudiologia, UMESP, Brazil.
Int J Psychophysiol. 2007 Sep;65(3):238-51. doi: 10.1016/j.ijpsycho.2007.05.001. Epub 2007 May 10.
In this study, we analyzed the EEG oscillatory activity induced during a simple visual task, in search of spectral correlate(s) of attention. This task has been previously analyzed by conventional event-related potential (ERP) computation, and Slow Potentials (SPs) were seen to be highly variable across subjects in topography and generators [Basile LF, Brunetti EP, Pereira JF Jr, Ballester G, Amaro E Jr, Anghinah R, Ribeiro P, Piedade R, Gattaz WF. (2006) Complex slow potential generators in a simplified attention paradigm. Int J Psychophysiol. 61(2):149-57]. We obtained 124-channel EEG recordings from 12 individuals and computed latency-corrected peak averaging in oscillatory bursts. We used current-density reconstruction to model the generators of attention-related activity that would not be seen in ERPs, which are restricted to stimulus-locked activity. We intended to compare a possibly found spectral correlate of attention, in topographic variability, with stimulus-related activity. The main results were (1) the detection of two bands of attention-induced beta range oscillations (around 25 and 21 Hz), whose scalp topography and current density cortical distribution were complex multi-focal, and highly variable across subjects (topographic dispersion significantly higher than sensory-related visual theta induced band-power), including prefrontal and posterior cortical areas. Most interesting, however, was the observation that (2) the generators of task-induced oscillations are largely the same individual-specific sets of cortical areas active during the pre-stimulus baseline. We concluded that attention-related electrical cortical activity is highly individual-specific, and possibly, to a great extent already established during mere resting wakefulness. We discuss the critical implications of those results, in combination with results from other methods that present individual data, to functional mapping of cortical association areas.
在本研究中，我们分析了简单视觉任务期间诱发的脑电图振荡活动，以寻找注意力的频谱相关因素。此前已通过传统的事件相关电位（ERP）计算对该任务进行了分析，结果发现慢电位（SPs）在不同受试者之间的地形和发生器方面存在高度变异性[巴西莱·LF、布鲁内蒂·EP、佩雷拉·JF Jr、巴列斯特·G、阿马罗·E Jr、安希纳·R、里贝罗·P、皮埃德德·R、加塔兹·WF。（2006年）简化注意力范式中的复杂慢电位发生器。《国际心理生理学杂志》。61(2):149 - 57]。我们从12名个体获取了124通道脑电图记录，并计算了振荡爆发中潜伏期校正后的峰值平均值。我们使用电流密度重建来模拟与注意力相关活动的发生器，这些活动在ERP中是看不到的，ERP仅限于刺激锁定活动。我们打算将可能发现的注意力频谱相关因素在地形变异性方面与刺激相关活动进行比较。主要结果是：（1）检测到两个注意力诱发的β频段振荡带（约25赫兹和21赫兹），其头皮地形图和电流密度皮质分布是复杂的多焦点分布，且在不同受试者之间高度可变（地形离散度显著高于感觉相关视觉θ诱发频段功率），包括前额叶和后皮质区域。然而，最有趣的是观察到（2）任务诱发振荡的发生器在很大程度上是刺激前基线期间活跃的相同个体特异性皮质区域集。我们得出结论，与注意力相关的皮质电活动具有高度个体特异性，并且可能在很大程度上在仅仅清醒休息时就已确立。我们结合其他呈现个体数据的方法的结果，讨论了这些结果对皮质联合区功能映射的关键意义。
