Kolev V, Demiralp T, Yordanova J, Ademoglu A, Isoglu-Alkaç U
Istanbul University, Faculty of Medicine, Turkey.
Neuroreport. 1997 May 27;8(8):2061-5. doi: 10.1097/00001756-199705260-00050.
A time-frequency decomposition was applied to rare target and frequent non-target event-related potentials (ERPs) elicited in an oddball condition to assess whether multiple functional components occur in the P300 latency range. The wavelet transform (WT) was used because it allows capture of simultaneous or partly overlapping components in ERPs without loosing their temporal relationships. The application of a four-octave quadratic B-spline wavelet transform at the level of single-sweep data allowed us to obtain new information and revealed the presence of separate events during P300 development. Several delta, theta, and alpha frequency components in the P300 latency range differed between target and non-target processing. These findings indicate that P300 is composed of multiple functional components and that the WT method is of use for the study of P300 functional correlates more precisely.
对在Oddball范式中诱发的罕见目标和频繁非目标事件相关电位（ERP）进行时频分解，以评估在P300潜伏期范围内是否存在多个功能成分。使用小波变换（WT）是因为它能够在不丢失ERP成分时间关系的情况下捕捉同时出现或部分重叠的成分。在单扫数据水平上应用四阶二次B样条小波变换，使我们能够获得新信息，并揭示了P300形成过程中存在不同的事件。目标和非目标处理过程中，P300潜伏期范围内的几个δ、θ和α频率成分存在差异。这些发现表明，P300由多个功能成分组成，并且WT方法更精确地用于研究P300的功能相关性。
