Skrandies W
Physiological Institute, Justus-Liebig University, Giessen, FRG.
Biol Psychol. 1995 May;40(1-2):1-15. doi: 10.1016/0301-0511(95)05111-2.
Multichannel recordings allow the non-invasive assessment of the electrical fields of the brain. Topographical analysis of EEG and EPs should not be restricted to the qualitative graphical display of maps at many time points instead of time series at many recording points. It is mandatory that quantitative methods are applied to EEG and evoked potential data in order to extract relevant information from such series of maps. For spontaneous EEG data the spatial analysis of frequency bands is of major interest while evoked potential fields are analyzed in terms of latencies and amplitudes of individual components. The computation of global field power, global dissimilarity as well as the location of potential maxima, minima or centroids enable a meaningful data reduction and the statistical evaluation of the effects of different experimental conditions and the comparison of various clinical populations. In a similar way multivariate statistical techniques may be employed in order to detect characteristic potential field configurations. Topographical methods to analyze brain electrical activity are illustrated with multichannel data evoked by localized visual stimuli and by stereoscopic stimulation as well as with evoked potential data obtained during perceptual learning experiments.
多通道记录允许对大脑电场进行非侵入性评估。脑电图（EEG）和诱发电位（EP）的地形分析不应局限于在多个时间点对图谱进行定性图形显示，而应是在多个记录点对时间序列进行分析。必须对EEG和诱发电位数据应用定量方法，以便从此类图谱系列中提取相关信息。对于自发EEG数据，频段的空间分析是主要关注点，而诱发电位场则根据各个成分的潜伏期和振幅进行分析。全局场功率、全局差异以及电位最大值、最小值或质心的位置的计算能够实现有意义的数据简化，并对不同实验条件的影响进行统计评估以及对各种临床人群进行比较。类似地，可以采用多元统计技术来检测特征性电位场配置。通过局部视觉刺激和立体刺激诱发的多通道数据以及在知觉学习实验中获得的诱发电位数据，来说明分析脑电活动的地形学方法。
