Castaldi E, Aagten-Murphy D, Tosetti M, Burr D, Morrone M C
Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Italy.
Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
Neuroimage. 2016 Dec;143:364-377. doi: 10.1016/j.neuroimage.2016.09.020. Epub 2016 Sep 10.
Psychophysical studies have shown that numerosity is a sensory attribute susceptible to adaptation. Neuroimaging studies have reported that, at least for relatively low numbers, numerosity can be accurately discriminated in the intra-parietal sulcus. Here we developed a novel rapid adaptation paradigm where adapting and test stimuli are separated by pauses sufficient to dissociate their BOLD activity. We used multivariate pattern recognition to classify brain activity evoked by non-symbolic numbers over a wide range (20-80), both before and after psychophysical adaptation to the highest numerosity. Adaptation caused underestimation of all lower numerosities, and decreased slightly the average BOLD responses in V1 and IPS. Using support vector machine, we showed that the BOLD response of IPS, but not in V1, classified numerosity well, both when tested before and after adaptation. However, there was no transfer from training pre-adaptation responses to testing post-adaptation, and vice versa, indicating that adaptation changes the neuronal representation of the numerosity. Interestingly, decoding was more accurate after adaptation, and the amount of improvement correlated with the amount of perceptual underestimation of numerosity across subjects. These results suggest that numerosity adaptation acts directly on IPS, rather than indirectly via other low-level stimulus parameters analysis, and that adaptation improves the capacity to discriminate numerosity.
心理物理学研究表明,数字感知是一种易受适应影响的感觉属性。神经影像学研究报告称,至少对于相对较小的数字,顶内沟能够准确区分数字感知。在此,我们开发了一种新型快速适应范式,其中适应刺激和测试刺激之间的间隔足以使其脑血流动力学活动分离。我们使用多变量模式识别技术,在心理物理学适应最高数字感知前后,对20至80范围内的非符号数字诱发的大脑活动进行分类。适应导致对所有较低数字感知的低估,并使V1和顶内沟的平均脑血流动力学反应略有下降。使用支持向量机,我们发现无论是在适应前还是适应后进行测试,顶内沟的脑血流动力学反应都能很好地对数字感知进行分类,而V1则不然。然而,从适应前训练反应到适应后测试不存在迁移,反之亦然,这表明适应改变了数字感知的神经元表征。有趣的是,适应后解码更准确,并且改善程度与受试者对数字感知的感知低估程度相关。这些结果表明,数字感知适应直接作用于顶内沟,而非通过其他低水平刺激参数分析间接作用,并且适应提高了区分数字感知的能力。