Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas 77030.
Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, Texas 77030.
J Neurosci. 2022 Jul 6;42(27):5438-5450. doi: 10.1523/JNEUROSCI.2324-21.2022. Epub 2022 May 31.
Reading words aloud is a fundamental aspect of literacy. The rapid rate at which multiple distributed neural substrates are engaged in this process can only be probed via techniques with high spatiotemporal resolution. We probed this with direct intracranial recordings covering most of the left hemisphere in 46 humans (26 male, 20 female) as they read aloud regular, exception and pseudo-words. We used this to create a spatiotemporal map of word processing and to derive how broadband γ activity varies with multiple word attributes critical to reading speed: lexicality, word frequency, and orthographic neighborhood. We found that lexicality is encoded earliest in mid-fusiform (mFus) cortex, and precentral sulcus, and is represented reliably enough to allow single-trial lexicality decoding. Word frequency is first represented in mFus and later in the inferior frontal gyrus (IFG) and inferior parietal sulcus (IPS), while orthographic neighborhood sensitivity resides solely in IPS. We thus isolate the neural correlates of the distributed reading network involving mFus, IFG, IPS, precentral sulcus, and motor cortex and provide direct evidence for parallel processes via the lexical route from mFus to IFG, and the sublexical route from IPS and precentral sulcus to anterior IFG. Reading aloud depends on multiple complex cerebral computations: mapping from a written letter string on a page to a sequence of spoken sound representations. Here, we used direct intracranial recordings in a large cohort while they read aloud known and novel words, to track, across space and time, the progression of neural representations of behaviorally relevant factors that govern reading speed. We find, concordant with cognitive models of reading, that known and novel words are differentially processed through a lexical route, sensitive to frequency of occurrence of known words in natural language, and a sublexical route, performing letter-by-letter construction of novel words.
朗读单词是识字的一个基本方面。只有通过具有高时空分辨率的技术才能探测到这个过程中多个分布式神经基质的快速速率。我们通过对 46 名人类(26 名男性,20 名女性)进行直接颅内记录来探测这个过程,他们在朗读常规、例外和假词。我们使用此方法创建了一个单词处理的时空图谱,并推导出宽带γ活动如何随多个对阅读速度至关重要的单词属性而变化:词汇性、单词频率和正字法邻域。我们发现词汇性最早在中梭状回(mFus)皮质和中央前回中编码,并且足够可靠地表示,足以允许单试次词汇性解码。单词频率首先在 mFus 中表示,然后在额下回(IFG)和下顶叶回(IPS)中表示,而正字法邻域敏感性仅存在于 IPS 中。因此,我们分离了涉及 mFus、IFG、IPS、中央前回和运动皮质的分布式阅读网络的神经相关性,并提供了直接证据证明存在从 mFus 到 IFG 的词汇途径和从 IPS 和中央前回到前 IFG 的亚词汇途径的并行过程。朗读依赖于多个复杂的大脑计算:从页面上的书面字母串映射到口语声音表示的序列。在这里,我们在一个大的队列中使用直接颅内记录,当他们大声朗读已知和新单词时,跟踪控制阅读速度的行为相关因素的神经表示的空间和时间进展。我们发现,与阅读的认知模型一致,已知和新单词通过词汇途径以不同的方式处理,对自然语言中已知单词的出现频率敏感,并且通过亚词汇途径处理,对新单词进行逐字构建。