CBPtools

CBPtools implements regional connectivity-based parcellation (rCBP) to identify structural and functional differentiation within regions of interest (ROIs) using resting-state functional connectivity and structural connectivity based on diffusion-weighted imaging.

Key Features:

• Modality Support: Supports resting-state functional connectivity and structural connectivity based on diffusion-weighted imaging.
• Custom Connectivity Input: Accepts custom connectivity matrices as input for tailored analyses.
• Parameter Customization: Provides customizable analysis parameters for adjustment to experimental requirements.
• Scalability and Parallelization: Leverages parallel processing environments to scale analyses to large datasets and multiple subjects.
• Output and Validation: Produces parcellation results with corresponding validity metrics in textual and graphical formats.
• Standardized rCBP Procedure: Implements a standardized rCBP workflow to promote reproducibility and comparability across studies.

Scientific Applications:

• Connectivity-based ROI parcellation: Identification of connectivity-driven subregions within prominent ROIs frequently studied in parcellation literature.
• Large-scale rCBP studies: Application to extensive datasets using average compute-cluster infrastructures for multi-subject analyses.

Methodology:

Implements a standardized regional connectivity-based parcellation (rCBP) procedure using input connectivity matrices, parallel processing for scalability, and computation of validity metrics.