Table 1_Disrupted rich club organization in structural brain networks is related to childh

A cross-sectional study of 130 first-episode, drug-naïve MDD patients and 122 healthy controls, investigating relationships between childhood maltreatment and structural brain network organization. The dataset contains connectivity measures for rich club and feeder connections derived from diffusion imaging data. The work was authored by Junhua Huang and last updated on March 18, 2026.

Use Cases

• Train models to classify brain network patterns associated with childhood maltreatment based on connectivity strength and density measures.
• Analyze correlations between clinical maltreatment scores and network connectivity features in different subject groups.
• Investigate the distinct neuroimaging features of vulnerability or resilience to MDD in the context of early life stress.

Strengths

• Includes data from 252 participants (130 MDD patients and 122 healthy controls), providing a defined cohort size.
• Focuses on a specific, clinically relevant research question linking childhood maltreatment to brain network organization.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small (15.5 KB), suggesting it may contain summary or processed results rather than raw data.
• The description does not specify the geographic or institutional origin of the participant data.

Provenance

Source

figshare, author Junhua Huang.

Collection Method

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

Time Range

The study period is not specified in the provided metadata.

Freshness

Last updated 2026-03-18 07:44:32; freshness should be verified.

Geography

The geographic coverage of the participant recruitment is not specified.