Dyconnmap

Dyconnmap maps time-varying functional connectivity to characterize dynamic connectomes (chronnectomes) and temporal brain states from fMRI-derived functional networks.

Key Features:

• Dynamic Functional Connectivity Analysis: Captures time-varying properties of functional connectivity across time and space from fMRI functional networks.
• Chronnectome Exploration: Enables exploration of chronnectomes to study how functional connectivity evolves over time.
• Advanced Network Metrics: Implements network metrics and algorithms to detect specific brain states and their transitions in dynamic functional networks.
• Comprehensive Mapping Capabilities: Applies dynamic complex network analytics to generate multi-faceted maps of brain function suitable for analysis of repeated fMRI scans.
• Research Applications Support: Facilitates analysis, mapping, storage, and modeling of interactions within complex neurobiological systems to investigate principles of human brain cognition and function.

Scientific Applications:

• Temporal brain-state characterization: Identifies and characterizes specific brain states and their transitions over time.
• Repeated fMRI analysis: Maps and compares dynamic connectivity across repeated fMRI scans in healthy subjects.
• Network neuroscience investigations: Studies principles of human brain cognition and network organization using dynamic connectome measures.
• Modeling neurobiological interactions: Analyzes and models interactions between neurons and brain areas within temporally evolving functional networks.

Methodology:

Employs algorithms designed to track dynamic patterns between neurons and brain areas and focuses on temporally evolved dynamic functional networks to identify brain states and their transitions.