GAT-FD

GAT-FD analyzes task-related functional connectivity dynamics in fMRI data using graph theoretical techniques to quantify time-varying topological properties of brain networks.

Key Features:

• Sliding-Window Approach: Implements a sliding-window technique to capture temporal changes in functional connectivity across task conditions.
• Task Condition File Generation: Facilitates creation of task condition files aligned to specific experimental designs.
• Topological Measures Calculation: Calculates a range of topological properties of functional networks and tracks their dynamics over time.
• Visual Validation: Provides visualization-based validation tools to support interpretation and assessment of analysis results.

Scientific Applications:

• Functional connectome analysis: Quantifies large-scale brain network organization and its temporal topology during sensory and cognitive tasks.
• Brain disorder research: Characterizes alterations in task-related functional connectivity dynamics in individuals with brain disorders.
• Task-related network dynamics: Enables quantitative evaluation of how network topology changes across block-designed or other task paradigms.

Methodology:

The toolbox is structured into four modules: sliding-window analysis, temporal mask generation, estimation of network properties and dynamics, and result display.