2015
DOI: 10.1016/j.jneuroling.2014.09.007
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Gene–environment interaction on neural mechanisms of orthographic processing in Chinese children

Abstract: The ability to process and identify visual words requires efficient orthographic processing of print, consisting of letters in alphabetic languages or characters in Chinese. The N170 is a robust neural marker for orthographic processes. Both genetic and environmental factors, such as home literacy, have been shown to influence orthographic processing at the behavioral level, but their relative contributions and interactions are not well understood. The present study aimed to reveal possible gene-by-environment… Show more

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Cited by 24 publications
(18 citation statements)
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“…Details concerning other factors, such as birth history, nursery period, and history of infantile illness, were unknown for the participants in our study. Furthermore, the etiology of DD is complex, and related neurology, genetics, and psychology have been investigated in many studies [ 2 , 9 , 10 ]. The present study considered only environmental risk factors affecting Han and Uyghur children with DD .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Details concerning other factors, such as birth history, nursery period, and history of infantile illness, were unknown for the participants in our study. Furthermore, the etiology of DD is complex, and related neurology, genetics, and psychology have been investigated in many studies [ 2 , 9 , 10 ]. The present study considered only environmental risk factors affecting Han and Uyghur children with DD .…”
Section: Discussionmentioning
confidence: 99%
“…These genes can change the structure of protein, which may lead to changes in its functional properties. However, studies in different languages have yielded conflicting results[ 6 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…The materials included 200 items: 40 real characters (e.g., ), 40 pseudo-characters with real radicals in illegal positions (e.g., ), 40 non-characters with ill-formed components (e.g., ), 40 scrambled strokes (e.g., ) filled in 1 character space, and additional 40 real characters as fillers. Each stimulus was presented in the center of the computer screen for 1 s and participants were required to decide whether each stimulus was a real character or not (also see Su et al, 2015 ). Inverse efficiency score was calculated by dividing the response times by accuracy for the correct trials, which could provide a basis for processing efficiency independent of possible speed-accuracy trade-offs ( Townsend and Ashby, 1978 ), and the score was transformed to an inverse number of the z-score.…”
Section: Methodsmentioning
confidence: 99%
“…The children were required to decide whether each stimulus that was presented in the center of the computer screen for 1 s was a real character or not. The reaction time was divided by accuracy to yield a score, and the score was transformed to an inverse number of the z -score (Su et al, 2015 ). One child did not take part in the lexical decision experiment (She set her departure ahead in behavioral test because there is something urgent waiting for her) and thus sustained 46 data points for this task.…”
Section: Methodsmentioning
confidence: 99%