Multimodal Neuroimaging and Transcriptomics Linking Osteoporosis to Brain Function

56 patients and 53 healthy controls underwent fMRI scans to assess brain function changes associated with osteoporosis. Min Fang's multimodal study integrates neuroimaging, transcriptomic data from the Allen Human Brain Atlas, and single-nucleus RNA sequencing of the human hippocampus. The research, updated in May 2026, establishes a molecular framework for the bone-brain axis.

Use Cases

• Identify brain regions with altered functional activity based on fMRI-derived ALFF and ReHo metrics
• Correlate brain functional changes with neurotransmitter receptor expression patterns mentioned in the description
• Analyze gene enrichment in synaptic function and neurogenesis pathways from transcriptomic data
• Validate molecular findings using in vivo ovariectomized mouse models described in the results

Strengths

• Integrates data from four distinct modalities: neuroimaging, transcriptomics, single-cell analysis, and animal model validation
• Includes data from 109 human subjects (56 patients and 53 controls)
• Links specific brain functional alterations (e.g., left hippocampal ALFF) to clinical measures like bone mineral density and MoCA scores

Limitations

• The primary data file is a 450 KB DOCX document, suggesting limited raw data scope
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Multimodal integrative strategy combining fMRI, transcriptomic data from the Allen Human Brain Atlas, snRNA-seq, and OVX mouse models

Freshness

Last updated 2026-05-18 05:31:21; freshness should be verified