Human Connectome Project: Neuroimaging and Behavioral Data on 1,200 Young Adults

The Human Connectome Project (HCP-YA) collected neuroimaging and behavioral data on 1,200 healthy young adults aged 22-35. It was produced by the Connectome Coordination Facility and is distributed via AWS Open Data under an HCP Data Use Agreement. The dataset aims to map the healthy human connectome.

Use Cases

• Mapping structural and functional brain connectivity based on neuroimaging data.
• Analyzing correlations between brain imaging features and behavioral metrics.
• Developing models for brain network analysis based on connectome data.
• Studying normative brain architecture in a young adult cohort.

Strengths

• Data from 1,200 participants provides a substantial sample size.
• Focus on a specific, healthy demographic (ages 22-35) controls for age-related variance.
• Includes multiple data modalities (neuroimaging and behavioral).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for specific data files is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Connectome Coordination Facility

Collection Method

Collected neuroimaging and behavioral data from human subjects.

Time Range

Data collection period is not specified.

Freshness

Last updated date is unknown.

Geography

Geographic coverage is not specified.