Feature selection in the human brain: electrophysiological correlates of sensory enhancement and feature integration.
Feature selection in the human brain: electrophysiological correlates of sensory enhancement and feature integration.
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DOI：
10.1016/j.brainres.2009.12.006
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发表时间：
2010-02-08
期刊：
影响因子：
2.9
通讯作者：
Mueller, Matthias M.
中科院分区：
文献类型：
--
作者：
Keil, Andreas;Mueller, Matthias M.
本研究使用源自密集阵列脑电图的频域和时域测量，检测了与基于特征的视觉选择性注意相关的皮质过程的潜伏期和振幅。参与者被要求根据三种物体特征（颜色、大小、完整性）的连词来识别目标。这一过程旨在研究(1)对表征一个物体的一个或多个刺激特征的感觉反应的调节，以及(2)在同一物体中与竞争特征相关的促进和减少效应，无论是有参与的还是无参与的。选择负性是对参与特征的感官放大的一种事件相关电位测量，其振幅随参与特征数量的增加而增加。对于具有一个或多个非参与视觉特征的刺激，伽马波段的后期振荡也较小，但对于与目标共享整体格式塔的刺激，伽马波段的后期振荡增强。当两个目标特征相结合时，这种晚期伽玛调制的延迟时间比单个判别特征延迟。潜伏期分析还表明，诱发高频振荡活动的晚期爆发比选择负性晚60毫秒左右达到峰值。振荡活动反映了物体特征之间的选择性放大和竞争。这些结果表明，在选择特征的感官放大之后，在更广泛的网络中进行了整合处理。这些网络中的振荡活动因分心而减少，当参与的特征可以映射到特定的动作时，振荡活动就会增强。
This study examined the latency and amplitude of cortical processes associated with feature-based visual selective attention, using frequency-domain and time-domain measures derived from dense-array electroencephalography. Participants were asked to identify targets based on conjunctions of three types of object features (color, size, completeness). This procedure aimed to examine (1) the modulation of sensory responses to one or more stimulus features characterizing an object and (2) facilitation and reduction effects associated with competing features, attended and unattended, in the same object. The selection negativity, an event-related potential measure of sensory amplification for attended features, showed a parametric increase of amplitude as a function of the number of attended features. Late oscillations in the gamma band range were also smaller for stimuli with one or more non-attended visual features, but were enhanced for stimuli sharing the overall gestalt with the target. The latency of this late gamma modulation was delayed when two target features were combined, compared to one single discriminative feature. Latency analyses also showed that late bursts of induced high-frequency oscillatory activity peaked around 60 ms later than the selection negativity. Oscillatory activity reflected both selective amplification and competition between object features. These results suggest that sensory amplification of selected features is followed by integrative processing in more widespread networks. Oscillatory activity in these networks is reduced by distraction, and is enhanced when attended features can be mapped to specific action.
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