Notational usage modulates attention networks in binumerates

被引:1
作者
Koul, Atesh [1 ]
Tyagi, Vaibhav [1 ]
Singh, Nandini C. [1 ]
机构
[1] Deemed Univ, Natl Brain ResearchCentre, Gurgaon 122050, India
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2014年 / 8卷
关键词
binumerates; Nagari; fMRI; numeracy; notation; attention; HUMAN INTRAPARIETAL CORTEX; ANTERIOR CINGULATE CORTEX; WORKING-MEMORY; PREFRONTAL CORTEX; PARIETAL CORTEX; NUMBER; REPRESENTATION; SULCUS; NUMEROSITY; BRAIN;
D O I
10.3389/fnhum.2014.00326
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Multicultural environments require learning multiple number notations wherein some are encountered more frequently than others. This leads to differences in exposure and consequently differences in usage between notations. We find that differential notational usage imposes a significant neurocognitive load on number processing. Despite simultaneous acquisition, twenty four adult binumerates, familiar with two positional writing systems namely Hindu Nagari digits and Hindu Arabic digits, reported significantly lower preference and usage for Nagari as compared to Arabic. Twenty-four participants showed significantly increased reaction times and reduced accuracy while performing magnitude comparison tasks in Nagari with respect to Arabic. Functional magnetic resonance imaging revealed that processing Nagari elicited significantly greater activity in number processing and attention networks. A direct subtraction of networks for Nagari and Arabic notations revealed a neural circuit comprising of bilateral Intra-parietal Sulcus (IPS), Inferior and Mid Frontal Gyri, Fusiform Gyrus and the Anterior Cingulate Cortex (FDR p < 0.005). Additionally, whole brain correlation analysis showed that activity in the left inferior parietal region was modulated by task performance in Nagari. We attribute the increased activation in Nagari to increased task difficulty due to infrequent exposure and usage. Our results reiterate the role of left IPS in modulating performance in numeric tasks and highlight the role of the attention network for monitoring symbolic notation mode in binumerates.
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页数:9
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