Genetically Informed Brain Parcellation Data from UK Biobank and HCP-YA

UK Biobank and Human Connectome Project Young Adult datasets were used to discover and validate genetically informed brain subnetworks. The dataset, authored by Yisha Yao and last updated in May 2026, presents results from a statistical framework designed to disentangle genetic effects from other sources of variation in brain connectivity. The 2.0 MB resource is shared under a CC-BY-4.0 license.

Use Cases

• Identifying brain subnetworks with shared molecular mechanisms based on the described genetic effect decomposition.
• Validating phenotype-based brain atlases against genetically informed parcellations as referenced in the description.
• Modeling regionally heterogeneous genetic influences on brain connectivity, a key concept in the framework.
• Investigating the interplay between genes, brain organization, and neuropsychiatric disorders using the derived atlases.

Strengths

• Method validated on two major neuroimaging datasets: UK Biobank for discovery and HCP-YA for validation.
• Provides a 2.0 MB PDF document detailing the novel statistical framework and results.
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a PDF, which may require extraction or interpretation to access structured data.

Provenance

Source

figshare, authored by Yisha Yao.

Collection Method

Results from a proposed statistical framework applied to neuroimaging data.

Time Range

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Freshness

Last updated 2026-05-01 14:27:09; freshness should be verified.

Geography

Data sourced from the UK Biobank and the Human Connectome Project Young Adult dataset.