Resting-state functional connectivity and reading abilities in first and second languages
An intriguing discovery in recent years is that resting-state functional connectivity (RSFC) is associated with cognitive performance. The current study investigated whether RSFC within the reading network was correlated with Chinese adults' reading abilities in their native language (L1, Chine...
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Published in: | NeuroImage (Orlando, Fla.) Vol. 84; pp. 546 - 553 |
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Main Authors: | , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Amsterdam
Elsevier Inc
01-01-2014
Elsevier Elsevier Limited |
Subjects: | |
Online Access: | Get full text |
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Summary: | An intriguing discovery in recent years is that resting-state functional connectivity (RSFC) is associated with cognitive performance. The current study investigated whether RSFC within the reading network was correlated with Chinese adults' reading abilities in their native language (L1, Chinese) and second language (L2, English). Results showed that RSFC within the reading network was positively correlated to reading abilities in L1 and L2, and RSFC between reading areas and the default network was negatively correlated to reading abilities in L1 and L2. Further conjunction and contrast analyses revealed that L1 and L2 shared similar RSFC correlates including connectivities between the areas for visual analysis (e.g., bilateral posterior fusiform gyrus, lateral occipital cortices, and right superior parietal lobules) and those for phonological processing (e.g., bilateral precentral gyri and postcentral gyrus, Wernicke's area). These results indicate that RSFC is a potential neural marker for reading abilities in both L1 and L2, with important theoretical implications for reading in L1 and L2.
•We tested resting-state functional connectivity (RSFC) and reading abilities.•RSFC was correlated to the reading abilities in both first and second languages.•RSFC could serve as the neural marker for reading abilities in both languages. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/j.neuroimage.2013.09.006 |