Dien Joseph
Center for Birth Defects, 501 South Preston Street, Suite 301, University of Louisville, Health Sciences Campus, Louisville, KY 40292, United States.
Neuropsychologia. 2009 Jan;47(1):1-16. doi: 10.1016/j.neuropsychologia.2008.08.024. Epub 2008 Sep 2.
Two areas of current intense interest in the neuroimaging literature are that of the visual word form area (VWFA) and of the fusiform face area (FFA) and their roles in word and face perception, respectively. These two areas are of particular relevance to laterality research because visual word identification and face identification have long been shown to be especially lateralized to the left hemisphere and the right hemisphere, respectively. This review therefore seeks to evaluate their significance for the broader understanding of lateralization of object recognition. A multi-level model of lateralized object recognition is proposed based on a combination of behavioral and neuroimaging findings. Rather than seek to characterize hemispheric asymmetries according to a single principle (e.g., serial-parallel), it is suggested that current observations can be understood in terms of three asymmetric levels of processing, using the framework of the Janus model of hemispheric function. It is suggested that the left hemisphere represents features using an abstract-category code whereas the RH utilizes a specific-exemplar code. The relationships between these features are also coded asymmetrically, with the LH relying on associative co-occurrence values and the RH relying on spatial metrics. Finally, the LH controlled selection system focuses on isolating features and the RH focuses on conjoining features. It is suggested that each hemisphere utilizes efficient (apparently parallel) processing when stimuli are congruent with its preferred processing style and inefficient (apparently serial) processing when they are not, resulting in the typical left-lateralization for orthographic analysis and right-lateralization for face analysis.
神经影像学文献中当前两个备受关注的领域是视觉词形区(VWFA)和梭状面孔区(FFA),以及它们分别在单词和面孔感知中的作用。这两个区域与偏侧性研究特别相关,因为长期以来,视觉单词识别和面孔识别分别被证明特别偏向于左半球和右半球。因此,本综述旨在评估它们对于更广泛理解物体识别偏侧化的意义。基于行为学和神经影像学研究结果的结合,提出了一个物体识别偏侧化的多层次模型。与其试图根据单一原则(例如,串行-并行)来描述半球不对称性,不如说当前的观察结果可以用半球功能的雅努斯模型框架,从三个不对称的处理层次来理解。有人认为,左半球使用抽象类别代码来表示特征,而右半球使用特定范例代码。这些特征之间的关系也以不对称的方式编码,左半球依赖于关联共现值,而右半球依赖于空间度量。最后,左半球的控制选择系统专注于分离特征,而右半球专注于合并特征。有人认为,当刺激与其偏好的处理方式一致时,每个半球都利用高效(明显并行)的处理方式,而当刺激不一致时,则利用低效(明显串行)的处理方式,从而导致正字法分析典型的左侧化和面孔分析的右侧化。