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首页> 外文期刊>The European Journal of Neuroscience >Decoding face categories in diagnostic subregions of primary visual cortex
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Decoding face categories in diagnostic subregions of primary visual cortex

机译：解码主视觉皮层诊断子区域中的面部类别

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摘要

Higher visual areas in the occipitotemporal cortex contain discrete regions for face processing, but it remains unclear if V1 is modulated by top-down influences during face discrimination, and if this is widespread throughout V1 or localized to retinotopic regions processing task-relevant facial features. Employing functional magnetic resonance imaging (fMRI), we mapped the cortical representation of two feature locations that modulate higher visual areas during categorical judgements - the eyes and mouth. Subjects were presented with happy and fearful faces, and we measured the fMRI signal of V1 regions processing the eyes and mouth whilst subjects engaged in gender and expression categorization tasks. In a univariate analysis, we used a region-of-interest-based general linear model approach to reveal changes in activation within these regions as a function of task. We then trained a linear pattern classifier to classify facial expression or gender on the basis of V1 data from 'eye' and 'mouth' regions, and from the remaining non-diagnostic V1 region. Using multivariate techniques, we show that V1 activity discriminates face categories both in local 'diagnostic' and widespread 'non-diagnostic' cortical subregions. This indicates that V1 might receive the processed outcome of complex facial feature analysis from other cortical (i.e. fusiform face area, occipital face area) or subcortical areas (amygdala).
机译：枕颞皮质的较高视觉区域包含用于面部处理的离散区域，但尚不清楚在面部识别过程中V1是否受自上而下的影响进行调节，以及是否在整个V1范围内广泛分布或是否定位于视网膜视网膜区域来处理与任务相关的面部特征。利用功能性磁共振成像（fMRI），我们绘制了两个特征位置的皮层表示，它们在分类判断期间可调节较高的视觉区域-眼睛和嘴巴。向受试者展示幸福和恐惧的面孔，我们在受试者从事性别和表达分类任务的同时测量了处理眼睛和嘴巴的V1区域的功能磁共振成像信号。在单变量分析中，我们使用了基于兴趣区域的通用线性模型方法来揭示这些区域内激活的变化与任务的关系。然后，我们训练了一个线性模式分类器，根据来自“眼睛”和“嘴”区域以及其余非诊断性V1区域的V1数据对面部表情或性别进行分类。使用多元技术，我们显示V1活动可以区分局部“诊断”和广泛的“非诊断”皮质子区域中的面部类别。这表明V1可能会从其他皮质（即梭形面部区域，枕面部区域）或皮质下区域（杏仁核）接收复杂的面部特征分析的处理结果。

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