Alzheimer's Disease Brain Glycogen and Corpora Amylacea Imaging Data

Harvard Dataverse hosts image analysis and mass spectrometry datasets from a 2026 study on Alzheimer's disease. The data, associated with a manuscript by Villareal and Bathe et al., profiles corpora amylacea to reveal alterations in glycogen metabolism. It includes relative abundance measurements from MALDI-MSI and image quantification across different disease stages and brain regions.

Use Cases

• Train models to classify Alzheimer's disease stages based on corpora amylacea profiles.
• Analyze spatial patterns of glycogen metabolism across brain regions using MALDI-MSI data.
• Correlate image-based quantification of corpora amylacea with molecular abundance data.

Strengths

• Data is associated with a peer-reviewed manuscript (in press as of 2026).
• Includes data from multiple analytical techniques: image analysis and MALDI-MSI.
• Focuses on specific pathological structures (corpora amylacea) across disease stages and brain regions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse, author Jonathan Villareal.

Collection Method

Image analysis/quantification and MALDI-MSI (Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging).

Freshness

Last updated 2026-06-09 20:56:00; freshness should be verified.