QDECR

QDECR performs vertex-wise statistical analysis of cortical surface maps reconstructed from magnetic resonance imaging (MRI) to enable group-level modeling of cortical morphology within R.

Key Features:

• Vertex-wise linear regression: Performs vertex-wise linear regression analyses across cortical surface meshes.
• Surface-based MRI input: Operates on cortical surface maps reconstructed from magnetic resonance imaging (MRI).
• Design matrix generation: Generates design matrices from R formula specifications and supports statistical terms such as polynomials, splines, and interactions.
• Missing data handling: Implements missing data imputation for analyses of datasets with missing values.
• Bias correction: Provides extensive bias correction methods for surface-based analyses.
• Non-linear modeling: Supports non-linear modeling approaches within the R modeling framework.
• Large-scale data support: Processes imputed and unimputed datasets with thousands of participants for large population-based studies.
• Modular architecture: Employs a modular design that enables implementation of new statistical models and integration of generic QDECR modules.
• R integration: Leverages R's comprehensive statistical modeling capabilities for group-level analyses.

Scientific Applications:

• Group-level cortical morphology analysis: Enables statistical analysis of cortical morphology at the group level in population-based and clinical studies.
• Population-based epidemiology: Suited for large population-based epidemiological studies involving thousands of participants.
• Vertex-wise cortical investigations: Facilitates detailed vertex-wise investigations of cortical structure and spatial patterns on the cortical surface.

Methodology:

Uses vertex-wise linear regression, design matrix generation from R formula specifications including polynomials, splines, and interactions, missing data imputation, extensive bias correction, non-linear modeling, processing of imputed and unimputed datasets, and a modular framework for implementing new statistical models.