Brain Functional and Structural Networks in Aging Chinese Cohort

Neuroimaging data from 173 Chinese subjects aged 21 and above, examining functional and structural reorganization of the prefrontal cortex in aging. The dataset includes structural MRI, resting-state fMRI, and high angular resolution diffusion imaging (HARDI) measurements. It was created by Annie Lee and published in 2020.

Use Cases

• Analyze age-related changes in structural connectivity between the prefrontal cortex and posterior brain regions using HARDI data.
• Investigate the mediating role of occipital lobe structural connectivity on prefrontal cortex reorganization with aging.
• Examine the relationship between temporal lobe structural connectivity and temporal cortical thickness from structural MRI.
• Study functional connectivity network patterns from resting-state fMRI data across the adult lifespan.
• Model compensation mechanisms in the prefrontal cortex by integrating functional and structural connectivity network data.

Strengths

• Includes multimodal neuroimaging data from 173 subjects, providing a substantial sample for analysis.
• Focuses on a specific population (Chinese adults aged 21+), allowing for controlled demographic studies.
• Examines multiple brain metrics including structural connectivity, cortical thickness, and functional connectivity.

Limitations

• Sample size of 173 subjects may limit statistical power for detecting subtle age-related effects.
• Geographic and ethnic focus on a Chinese cohort may limit generalizability to other populations.
• Cross-sectional design prevents causal inferences about aging trajectories.

Provenance

Source

Dryad digital repository.

Collection Method

Data collected via structural MRI, resting-state fMRI, and high angular resolution diffusion imaging (HARDI).

Freshness

Last updated in June 2020.

Geography

China.