Table 2_Disrupted rich club organization in structural brain networks is related to childh

130 first-episode, drug-naïve MDD patients and 122 healthy controls were recruited for a cross-sectional study. The dataset contains connectivity measures for structural brain networks derived from diffusion imaging data, comparing rich club and feeder connections across groups. It was authored by Junhua Huang and last updated on March 18, 2026.

Use Cases

• Investigating the relationship between childhood maltreatment scores and connectivity density in feeder connections for MDD patients.
• Comparing connectivity strength and density in rich club connections between MDD patients with and without childhood maltreatment.
• Analyzing distinct connection patterns in structural brain networks as potential markers of vulnerability or resilience to MDD.

Strengths

• Includes data from 252 participants (130 MDD patients and 122 healthy controls).
• Focuses on a specific, clinically relevant factor (childhood maltreatment) within a first-episode, drug-naïve MDD population.
• Data is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 16.0 KB, suggesting it may contain summary results rather than raw participant-level data.
• Description metadata is limited; actual data structure and field semantics must be inferred after download.

Provenance

Source

figshare, authored by Junhua Huang.

Collection Method

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

Time Range

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Freshness

Last updated 2026-03 18 07:44:31; freshness should be verified.

Geography

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