VertexWiseR

VertexWiseR simplifies vertex-wise analyses of whole-brain and hippocampal surfaces, enabling statistical analyses of neuroimaging data in R without requiring specialized operating environments.

Key Features:

• Surface Data Compression: Compresses cohort-wise anatomical surface data into a single compact file for sharing and offline analysis.
• Vertex-wise Statistical Analyses: Supports a range of statistical analyses using a single compressed file without requiring direct access to preprocessed file directories.
• Hippocampal Surface Analysis: Provides functionality for vertex-wise analyses of hippocampal surfaces.
• Meta-analytic Decoding: Includes meta-analytic decoding capabilities for interpreting neuroimaging results.
• Threshold-free Cluster Enhancement: Implements threshold-free cluster enhancement for statistical inference on brain surfaces.
• Mixed-effects Models: Supports mixed-effects models for vertex-wise statistical analysis.
• Data Extraction and Manipulation: Includes tools for extracting, manipulating, and visualizing vertex-wise data.

Scientific Applications:

• Cortical Surface Analysis: Performs vertex-wise analyses on whole-brain cortical surfaces.
• Hippocampal Surface Analysis: Enables vertex-wise analyses of hippocampal surfaces.
• Offline Neuroimaging Analysis: Facilitates analyses conducted without continuous access to original data directories, suitable for collaborative and educational settings.

Methodology:

The package compresses surface data into a single file format for subsequent vertex-wise statistical analysis.