Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, 291 Campus Drive, Li Ka Shing Building, Stanford, CA, 94305-5101, USA.
Stanford University Graduate School of Education, 485 Lasuen Mall, Stanford, CA, 94305, USA.
Brain Struct Funct. 2021 Dec;226(9):3051-3065. doi: 10.1007/s00429-021-02384-8. Epub 2021 Oct 12.
Over the past 2 decades, researchers have tried to uncover how the human brain can extract linguistic information from a sequence of visual symbols. The description of how the brain's visual system processes words and enables reading has improved with the progressive refinement of experimental methodologies and neuroimaging techniques. This review provides a brief overview of this research journey. We start by describing classical models of object recognition in non-human primates, which represent the foundation for many of the early models of visual word recognition in humans. We then review functional neuroimaging studies investigating the word-selective regions in visual cortex. This research led to the differentiation of highly specialized areas, which are involved in the analysis of different aspects of written language. We then consider the corresponding anatomical measurements and provide a description of the main white matter pathways carrying neural signals crucial to word recognition. Finally, in an attempt to integrate structural, functional, and electrophysiological findings, we propose a view of visual word recognition, accounting for spatial and temporal facets of word-selective neural processes. This multi-modal perspective on the neural circuitry of literacy highlights the relevance of a posterior-anterior differentiation in ventral occipitotemporal cortex for visual processing of written language and lexical features. It also highlights unanswered questions that can guide us towards future research directions. Bridging measures of brain structure and function will help us reach a more precise understanding of the transformation from vision to language.
在过去的 20 年里,研究人员试图揭示人类大脑如何从一系列视觉符号中提取语言信息。随着实验方法和神经影像学技术的逐步完善,大脑视觉系统如何处理单词和实现阅读的描述也得到了改善。这篇综述简要概述了这一研究历程。我们首先描述了非人类灵长类动物的物体识别经典模型,这些模型是许多人类视觉单词识别早期模型的基础。然后,我们回顾了研究视觉皮层中单词选择区域的功能神经影像学研究。这项研究导致了高度专业化区域的分化,这些区域参与了书面语言不同方面的分析。然后,我们考虑了相应的解剖学测量,并描述了携带对单词识别至关重要的神经信号的主要白质通路。最后,为了尝试整合结构、功能和电生理学发现,我们提出了一种视觉单词识别观点,解释了单词选择神经过程的空间和时间方面。这种读写神经回路的多模态视角突出了腹侧枕颞皮质中后部-前部分化对于书面语言和词汇特征的视觉处理的重要性。它还突出了一些未解决的问题,这些问题可以为我们指明未来的研究方向。弥合大脑结构和功能的测量将有助于我们更精确地理解从视觉到语言的转变。