A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old.
Jin WangMarisa N LytleYael WeissBrianna L YamasakiJames R BoothPublished in: Scientific data (2022)
This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5-10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- working memory
- resting state
- functional connectivity
- young adults
- computed tomography
- diffusion weighted imaging
- magnetic resonance
- autism spectrum disorder
- white matter
- big data
- physical activity
- deep learning
- cerebral ischemia
- artificial intelligence
- psychometric properties
- data analysis
- community dwelling
- network analysis