CoALS II: Structural and Functional Brain Connectivity in ALS Patients

A multimodal connectomic analysis integrating cortical thickness, diffusion MRI, and resting-state and task-based functional MRI from ALS patients and matched controls. The study employed a 104-node brain parcellation scheme and graph-theoretical metrics to analyze structure–function coupling. The dataset, authored by Vijay Renga and last updated in March 2026, is shared under a CC-BY-4.0 license.

Use Cases

• Modeling brain network reorganization based on graph-theoretical metrics derived from multimodal imaging.
• Investigating structure–function coupling in neurodegenerative diseases based on cross-modal correlation analyses.
• Developing biomarkers for ALS progression based on preserved global network topology and selective pathway reorganization.
• Training models to differentiate adaptive reconfiguration from disconnection based on task-based functional MRI data.

Strengths

• Multimodal integration of structural covariance, diffusion MRI, and functional MRI data.
• Analysis employs a comprehensive 104-node brain parcellation scheme.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Dataset scale is limited; the primary file is a 771.9 KB PDF, suggesting it is a data sheet or summary, not the raw data.
• Column-level documentation and sample data are unavailable; field semantics must be inferred after download.
• Row count and the availability of underlying numerical data are unknown.

Provenance

Source

figshare

Collection Method

Multimodal connectomic analysis integrating MRI techniques and graph theory on patient and control cohorts.

Time Range

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Freshness

Last updated 2026-03-25 05:21:33

Geography

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