CATO

CATO reconstructs structural and functional brain connectivity from diffusion-weighted imaging (DWI) and resting-state functional MRI (rs-fMRI) to generate connectome maps for neuroscientific analysis.

Key Features:

• Multimodal integration: Integrates DWI and rs-fMRI to reconstruct both structural and functional connectomes.
• Customizable analysis pipelines: Provides configurable processing pipelines for preprocessing and connectome reconstruction.
• Preprocessing support: Includes preprocessing of raw DWI and rs-fMRI data using integrated software packages.
• Reconstruction methods: Derives structural connectivity from diffusion tensor imaging (DTI) metrics and maps functional connectivity via correlations of resting-state activity.
• User-defined atlases: Aligns connectome maps to user-defined (sub)cortical atlases for generation of connectivity matrices.
• Performance calibration: Performance calibrated using simulated DWI data from the ITC2015 challenge, test-retest DWI datasets, and rs-fMRI data from the Human Connectome Project.

Scientific Applications:

• Brain development: Enables analysis of structural and functional connectivity changes across developmental stages.
• Aging: Supports investigation of connectivity alterations associated with aging.
• Neurological disorders: Facilitates mapping of connectivity patterns relevant to neurological and neuropsychiatric disorders.
• Cognitive function: Allows study of relationships between connectome organization and cognitive processes.

Methodology:

Preprocess raw DWI and rs-fMRI data using integrated software packages; derive structural connectivity from DTI metrics; map functional connectivity via correlations in resting-state activity; align resulting connectome maps with user-defined (sub)cortical atlases to produce connectivity matrices.