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DTI Predicts Mandarin Learning

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Learn about vigilant mode.

This dataset contains diffusion tensor imaging (DTI) data and corresponding behavioral learning measures from a study examining how white matter microstructure predicts success in learning Mandarin Chinese as a second language.
Each subject’s dataset includes nifti-formatted DWI volumes, b-values, and b-vectors, along with a separate CSV file containing demographic and learning performance information.

The dataset accompanies the publication:
Qi Z., Han M., Garel K., Chen E. S., & Gabrieli J. D. E. (2014). White-matter structure in the right hemisphere predicts Mandarin Chinese learning success. Journal of Neurolinguistics, 33, 14–28.

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Citation

Qi, Z. (2017).
DTI Predicts Mandarin Learning [Data set]. Zenodo.
https://doi.org/10.5281/zenodo.260007

Source

https://doi.org/10.5281/zenodo.260007
Contact: zhenghan.qi@unl.edu
Institution: University of Nebraska–Lincoln, Department of Special Education and Communication Disorders

Dataset Information

Category Details
Subjects De-identified adult participants learning Mandarin as a second language
Study Type Diffusion MRI study investigating neuroanatomical predictors of second language learning
Data Format NIfTI for diffusion volumes, .bval and .bvec text files, and a .csv file with demographic and behavioral data
Imaging Modality Diffusion Tensor Imaging (DTI)
Behavioral Measures Mandarin learning success scores and demographic metadata
Anonymization All participant identifiers removed prior to data sharing
Analysis Context Investigates the relationship between right-hemisphere white matter integrity and language acquisition success

Purpose

This dataset supports research into the neurobiological basis of second language learning, with an emphasis on white matter connectivity and diffusion anisotropy as predictors of individual learning outcomes.
It is useful for validating DTI-based biomarkers of language aptitude and for developing new analytic frameworks linking microstructural brain features to language learning performance.

Keywords

Diffusion MRI • DTI • Language Learning • Mandarin Chinese • Second Language Acquisition • White Matter • Neuroplasticity • Neurolinguistics • FA • Tractography

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