<p>The underlying numerical data for Fig 2.</p>

The underlying numerical data for a figure in a neuroscience study on aging and cognitive flexibility. The dataset, shared by Xing Qian on figshare under a CC-BY-4.0 license, was last updated on April 13, 2026. It is a small file (18.9 KB) in XLSX format, containing data on brain network coupling/decoupling and cognitive test scores from two independent longitudinal aging studies.

Use Cases

• Modeling the relationship between brain network coupling/decoupling and cognitive flexibility decline based on longitudinal aging data.
• Analyzing network-specific trajectories of structure-function integration in the executive control, default mode, and salience networks.
• Testing associations between fMRI signal alignment and performance on the Trail Making Test and Color Trails Test.
• Comparing aging-related changes in task-positive (SN-A) versus task-negative (DMN-A) brain subnetworks.

Strengths

• Data is derived from two independent longitudinal datasets, which may support reproducibility.
• Focuses on three core large-scale cognitive systems: the executive control, default mode, and salience networks.
• Includes cognitive flexibility measures from standardized tests (Trail Making Test, Color Trails Test).
• Shared under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small (18.9 KB), indicating limited scope, likely containing only the summary data for a single figure.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare, author Xing Qian.

Collection Method

Data generated from resting-state fMRI and diffusion MRI analyzed using a graph signal processing framework, as described in the associated study.

Time Range

Longitudinal data from aging studies, but specific years are not provided.

Freshness

Last updated 2026-04-13 17:33:37; freshness should be verified.

Geography

Geographic coverage of the participant cohorts is not specified.