Multimodal Brain Connectivity in Amyotrophic Lateral Sclerosis

A study of structural and functional brain connectivity in Amyotrophic Lateral Sclerosis (ALS) patients and matched controls. The analysis employed a 104-node brain parcellation scheme, integrating cortical thickness, diffusion MRI tractography, and resting-state and task-based functional MRI. Graph-theoretical metrics were derived to examine cross-modal structure–function correspondence.

Use Cases

• Analyze graph-theoretical metrics like efficiency and small-worldness to compare global network topology between ALS patients and controls.
• Quantify structure–function coupling using ROI-wise correlation analyses between diffusion-derived white matter connectivity and functional organization.
• Examine the reorganization of connectivity within motor and interhemispheric pathways using multimodal connectomic data.
• Investigate the relationship between cortical covariance networks and functional dynamics during task performance.

Strengths

• Employs a detailed 104-node brain parcellation scheme for network analysis.
• Integrates four distinct neuroimaging modalities: cortical thickness, diffusion MRI, resting-state fMRI, and task-based fMRI.
• Includes a matched control group for comparative analysis of ALS-related connectivity changes.

Limitations

• The dataset is a single PDF document (182.1 KB), not a structured, machine-readable data table, limiting computational analysis.
• Sample size and specific demographic details for the ALS and control cohorts are not provided in the input.
• The data represents a specific research study's findings; raw neuroimaging data is not available for re-analysis.

Provenance

Source

figshare, authored by Vijay Renga.

Collection Method

Multimodal connectomic analysis integrating cortical thickness–based structural covariance networks, diffusion MRI tractography, and resting-state and task-based functional MRI.

Time Range

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Freshness

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Geography

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