Taesler Philipp, Rose Michael
Department of Systems Neuroscience, University Medical Center Hamburg Eppendorf;
Department of Systems Neuroscience, University Medical Center Hamburg Eppendorf.
J Vis Exp. 2017 Jan 21(119):55228. doi: 10.3791/55228.
In perceptual studies, it is often important to objectively assess the equality of delivered stimulation across participants or to quantify the intra-individual sensation magnitude that is evoked by stimulation over multiple trials. This requires a robust mapping of stimulus magnitude to perceived intensity and is commonly achieved by psychophysical estimation methods such as the staircase procedure. Newer, more efficient procedures like the QUEST algorithm fit a psychophysical function to the data in real time while at the same time maximizing the efficiency of data collection. A robust estimate of the threshold intensity between painful and nonpainful perceptions can then be used to reduce the influence of variations in sensory input in subsequent analyses of oscillatory brain activity. By stimulating at a constant threshold intensity determined by an adaptive estimation procedure, the variance in the ratings can be directly attributed to perceptual processes. Oscillatory activity can then be contrasted between "pain" and "no-pain" trials directly, yielding activity that closely relates to perceptual classification processes in nociception.
在知觉研究中,客观评估不同参与者所接受刺激的平等性,或量化多次试验中刺激所引发的个体内感觉强度,通常很重要。这需要将刺激强度稳健地映射到感知强度,通常通过诸如阶梯法等心理物理学估计方法来实现。更新的、更高效的程序,如QUEST算法,能实时将心理物理学函数拟合到数据上,同时最大化数据收集的效率。然后,对疼痛和非疼痛感知之间的阈值强度进行稳健估计,可用于在后续振荡脑活动分析中减少感觉输入变化的影响。通过以自适应估计程序确定的恒定阈值强度进行刺激,评分的方差可直接归因于感知过程。然后可以直接对比“疼痛”和“无疼痛”试验之间的振荡活动,产生与伤害感受中的感知分类过程密切相关的活动。