Singh Nandini Chatterjee, Rao Chaitra
National Brain Research Centre, NH-8, Nainwal Mode, Manesar, Gurgaon, Haryana, India.
Indian J Radiol Imaging. 2014 Jan;24(1):44-50. doi: 10.4103/0971-3026.130691.
The current study used functional MRI (fMRI) to obtain a comprehensive understanding of the neural network underlying visual word recognition in Hindi/Devanagari, an alphasyllabic - partly alphabetic and partly syllabic Indian writing system on which little research has hitherto been carried out.
Sixteen (5F, 11M) neurologically healthy, native Hindi/Devanagari readers aged 21 to 50 named aloud 240 Devanagari words which were either visually linear - had no diacritics or consonant ligatures above or below central plane of text, e.g. फल, वाहन, or nonlinear - had at least one diacritic and/or ligature, e.g. फूल, किरण, and which further included 120 words each of high and low frequency. Words were presented in alternating high and low frequency blocks of 10 words each at 2s/word in a block design, with linear and nonlinear words in separate runs. Word reading accuracy was manually coded, while fMRI images were acquired on a 3T scanner with an 8-channel head-coil, using a T2*-weighted EPI sequence (TR/TE = 2s/35ms).
After ensuring high word naming accuracy (M = 97.6%, SD = 2.3), fMRI data analyses (at FDR P < 0.005) revealed that reading Devanagari words elicited robust activations in bilateral occipito-temporal, inferior frontal and precentral regions as well as both cerebellar hemispheres. Other common areas of activation included left inferior parietal and right superior temporal cortices. Primary differences seen between nonlinear and linear word reading networks were in the right temporal areas and cerebellum.
Distinct from alphabetic scripts, which are linear in their spatial organization, and recruit a primarily left-lateralized network for word reading, our results revealed a bilateral reading network for Devanagari. We attribute the additional activations in Devanagari to increased visual processing demands arising from the complex visuospatial arrangement of symbols in this ancient script.
本研究使用功能磁共振成像(fMRI)来全面了解印地语/天城体文字视觉单词识别背后的神经网络。印地语/天城体文字是一种半字母半音节文字,部分为字母,部分为音节,此前对此文字系统的研究甚少。
16名(5名女性,11名男性)21至50岁、神经系统健康的印地语/天城体文字母语读者大声读出240个天城体文字单词,这些单词要么在视觉上是线性的——在文本中心平面上方或下方没有变音符或辅音连字,例如फल、वाहन,要么是非线性的——至少有一个变音符和/或连字,例如फूल、किरण,其中高频和低频单词各120个。单词以每10个单词为一组的高频和低频交替块呈现,每个单词呈现2秒,采用组块设计,线性和非线性单词在不同的扫描序列中呈现。单词阅读准确性通过人工编码,同时使用8通道头部线圈在3T扫描仪上采集fMRI图像,采用T2 *加权回波平面成像序列(TR/TE = 2秒/35毫秒)。
在确保较高的单词命名准确性(M = 97.6%,SD = 2.3)后,fMRI数据分析(在错误发现率P < 0.005时)显示,阅读天城体文字单词会在双侧枕颞叶、额下回和中央前回区域以及双侧小脑半球引发强烈激活。其他常见的激活区域包括左侧顶下小叶和右侧颞上回皮质。非线性和线性单词阅读网络之间的主要差异出现在右侧颞叶区域和小脑。
与在空间组织上呈线性且在单词阅读时主要招募左侧化网络的字母文字不同,我们的研究结果揭示了天城体文字的双侧阅读网络。我们将天城体文字中额外的激活归因于这种古老文字中符号复杂的视觉空间排列所带来的视觉处理需求增加。