Mapping functional connectivity of bursting neuronal networks

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Neuronal cultures exhibit complex network dynamics.
• Network bursting is a key developmental milestone in neuronal networks.
• Understanding functional connectivity is crucial for characterizing network development.

Purpose of the Study:

• To investigate changes in functional connectivity and network properties during neuronal development.
• To determine how network bursting emergence relates to specific network topology metrics.
• To analyze the evolution of small-world network characteristics in developing neuronal cultures.

Main Methods:

• Utilized single-cell laser scanning photostimulation (LSPS) for precise neuronal activation.
• Employed broad-field calcium imaging to monitor network activity.
• Calculated network properties including node degree, clustering, global efficiency, and local efficiency.

Main Results:

• Small-world network topology was present both before and after network bursting onset.
• Average node degree and global efficiency significantly correlated with the developmental emergence of network bursting.
• Clustering and local efficiency showed no significant change relative to network bursting development.

Conclusions:

• Functional connectivity analysis reveals distinct developmental trajectories for different network properties.
• Node degree and global efficiency are key indicators of network maturation and the onset of network bursting.
• Neuronal network development involves specific topological adaptations rather than uniform changes across all metrics.