Literature DB >> 23400116

'Cost in transliteration': the neurocognitive processing of Romanized writing.

Chaitra Rao1, Avantika Mathur, Nandini C Singh.   

Abstract

Romanized transliteration is widely used in internet communication and global commerce, yet we know little about its behavioural and neural processing. Here, we show that Romanized text imposes a significant neurocognitive load. Readers faced greater difficulty in identifying concrete words written in Romanized transliteration (Romanagari) compared to L1 and L2. Functional neuroimaging revealed that the neural cost of processing transliterations arose from significantly greater recruitment of language (left precentral gyrus, left inferior parietal lobule) and attention networks (left mid-cingulum). Additionally, transliterated text uniquely activated attention and control areas compared to both L1 (cerebellar vermis) and L2 (pre-supplementary motor area/pre-SMA). We attribute the neural effort of reading Romanized transliteration to (i) effortful phonological retrieval from unfamiliar orthographic forms and (ii) conflicting attentional demands imposed by mapping orthographic forms of one language to phonological-semantic representations in another. Finally, significant brain-behaviour correlation suggests that the left mid-cingulum modulates cognitive-linguistic conflict.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23400116     DOI: 10.1016/j.bandl.2012.12.004

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  4 in total

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2.  Notational usage modulates attention networks in binumerates.

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Journal:  Front Hum Neurosci       Date:  2014-05-28       Impact factor: 3.169

3.  Cultural differences in the use of acoustic cues for musical emotion experience.

Authors:  Vishal Midya; Jeffrey Valla; Hymavathy Balasubramanian; Avantika Mathur; Nandini Chatterjee Singh
Journal:  PLoS One       Date:  2019-09-13       Impact factor: 3.240

4.  Abnormal Fractional Amplitude of Low-Frequency Fluctuation as a Potential Imaging Biomarker for First-Episode Major Depressive Disorder: A Resting-State fMRI Study and Support Vector Machine Analysis.

Authors:  Yujun Gao; Xi Wang; Zhenying Xiong; Hongwei Ren; Ruoshi Liu; Yafen Wei; Dongbin Li
Journal:  Front Neurol       Date:  2021-11-29       Impact factor: 4.003

  4 in total

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