DCP

DCP automates construction of anatomical brain networks from diffusion tensor imaging (DTI) data to enable structural connectome analysis.

Key Features:

• Automated Multi-subject Processing: Automates construction of DTI-derived brain networks across multiple subjects and supports datasets in DICOM and NIfTI formats.
• Integration with Post-processing Packages: Integrates modules from Diffusion Toolkit, DiffusionKit, SPM, and MRIcron for DTI post-processing and network generation.
• Comprehensive Workflow: Implements the end-to-end steps required to construct anatomical connectivity patterns from initial data handling through final network generation.
• Quality Control Output: Produces per-subject folders containing quality control metrics and registration results for verification of processing outcomes.
• MATLAB-based Implementation: Provides a MATLAB-based pipeline with compatibility for Windows operating systems.

Scientific Applications:

• Structural Connectomics: Generation of DTI-derived structural connectomes and anatomical connectivity patterns for network analysis.
• Neuroscience Research: Quantitative description of anatomical connectivity to support studies of brain structure–function relationships.
• Neurological Disorder Studies: Comparative analysis of connectivity alterations in neurological and psychiatric disorders.
• Developmental and Aging Studies: Investigation of developmental changes and aging-related alterations in brain connectivity.

Methodology:

MATLAB-based pipeline that integrates Diffusion Toolkit, DiffusionKit, SPM, and MRIcron to process DTI datasets in DICOM or NIfTI formats and produce anatomical connectivity networks along with quality-control metrics and registration results.