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Categorical representation of visually suppressed objects in visual cortex

机译:视觉皮层中视觉抑制对象的分类表示

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Functional imaging has been used to understand how visual objects of different categories are represented in the brain. However, the relationship between the fMRI-derived object representation and consciously experiencing a particular object remains poorly understood. Recent studies investigating BOLD responses to visually suppressed objects suggest that even in the absence of awareness, specific cortical regions differentially represent different objects categories. However, drawing strong conclusions about categorical representation within specific brain regions is difficult since these studies have focused only on pairs of object categories and constrained analyses to very restricted and/or loosely defined regions of cortex Here, we extend this past work using fMRI combined with continuous binocular switch suppression to simultaneously investigate representations of visually suppressed objects across occipital, parietal, and temporal cortex and include faces, houses, tools and scrambled objects in our analyses. Univariate and multivariate (MVPA) analyses were conducted (N=8) within functionally defined ROIs including retinotopic areas: V1, V2, V3, V4 and V3A/B, V7, IPS1-5, SPL1 and object category areas: OFA, FFA, PPA, LOC and EBA. In the invisible conditions, univariate analyses found no differences in BOLD signal across object category in any ROI. In contrast, the MVPA yielded above-chance performance classifying the four image categories within the FFA and PPA as well as IPS2, IPS3, IPS4 and IPS5. However, secondary pair-wise MVPA revealed that this performance was largely mediated by differentiating between intact and scrambled images in all but the FFA in which faces could be dissociated from houses. However, within the FFA the MVPA could not accurately classify faces versus tools or faces versus scrambled pictures. Although MVPA analyses could classify at above-chance levels visually suppressed faces, tools, houses and scrambled objects within several areas of ventral and dorsal visual cortex, we find no evidence that the underlying representations are specifically categorical in nature.
机译:功能成像已被用于理解大脑中不同类别的视觉对象是如何表示的。然而,功能磁共振成像的对象表示与有意识地体验特定对象之间的关系仍然知之甚少。最近研究对视觉抑制对象的BOLD响应的研究表明,即使在没有意识的情况下,特定的皮层区域也可以不同地代表不同的对象类别。但是,很难得出关于特定大脑区域内分类表示的强有力结论,因为这些研究仅集中于成对的对象类别,并且将分析限制在非常受限和/或松散定义的皮质区域。在此,我们将过去的研究使用fMRI结合连续双眼切换抑制,以同时研究枕骨,顶叶和颞皮质的视觉抑制对象的表示,并且在我们的分析中包括面部,房屋,工具和混乱的对象。在功能定义的ROI中进行了单变量和多变量(MVPA)分析(N = 8),包括视黄醛区域:V1,V2,V3,V4和V3A / B,V7,IPS1-5,SPL1和对象类别区域:OFA,FFA, PPA,LOC和EBA。在不可见条件下,单变量分析发现在任何ROI中跨对象类别的BOLD信号均无​​差异。相比之下,MVPA在FFA和PPA以及IPS2,IPS3,IPS4和IPS5中对四个图像类别进行分类的机会较高。但是,次级成对的MVPA显示,这种性能很大程度上是通过区分FFA(除了可以从房屋中分离出脸部的FFA)以外的所有完整图像和加扰图像来实现的。但是,在FFA中,MVPA无法将人脸与工具或人脸与加密图片进行准确分类。尽管MVPA分析可以在机会级别上对腹侧和背侧视觉皮层的多个区域中的视觉抑制面部,工具,房屋和混乱的物体进行分类,但我们没有发现证据表明潜在的代表本质上是明确分类的。

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