Table 3_Disrupted rich club organization in structural brain networks is related to childh

Junhua Huang's research dataset, published on figshare in March 2026, contains results from a cross-sectional study of 130 first-episode, drug-naïve MDD patients and 122 healthy controls. The data likely includes connectivity measures for rich club, feeder, and local connections in structural brain networks derived from diffusion imaging. The study investigates relationships between these network properties and childhood maltreatment scores.

Use Cases

• Modeling the relationship between childhood maltreatment scores and brain network connectivity density based on the described correlations.
• Comparing connectivity strength and density in rich club connections between patient subgroups as described in the results.
• Investigating distinct feeder connection patterns in depressed versus healthy populations exposed to maltreatment as a potential resilience/vulnerability marker.

Strengths

• Includes data from 252 participants (130 MDD patients and 122 healthy controls).
• Results are based on reconstructed structural brain networks from diffusion imaging data.
• Published under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 16.0 KB, suggesting it may contain summary results rather than raw participant-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Junhua Huang.

Collection Method

Cross-sectional study using diffusion imaging data to reconstruct structural brain networks.

Time Range

null

Freshness

Last updated 2026-03 18 07:44:31.

Geography

null