Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents

Area of Science:

• Neuroscience
• Computational Neuroscience
• Network Science

Background:

• Cognitive tasks involve human brain cortical areas within the cerebral cortex.
• The cerebral cortex exhibits hemispheric separation and can be modeled as a network of coupled subnetworks.
• Burst synchronization in neuronal networks is linked to information processing and neurological disorders.

Purpose of the Study:

• To investigate burst synchronization and desynchronization in a human neuronal network model.
• To analyze the effects of external periodic and random pulsed currents on neuronal synchronization.
• To explore methods for suppressing synchronous behavior in brain networks.

Main Methods:

• Modeling the human cerebral cortex as a coupled subnetwork system with small-world properties.
• Simulating neuronal network dynamics under external periodic and random pulsed current perturbations.
• Observing and analyzing the emergence and suppression of burst synchronization.

Main Results:

• Burst synchronization was observed in the human neuronal network model, both with and without external perturbations.
• External pulsed currents were shown to effectively suppress synchronous behavior.
• The study demonstrates a mechanism to control network synchronization.

Conclusions:

• External pulsed currents can be utilized to mitigate excessive neuronal synchronization.
• Understanding and controlling synchronization is crucial for both normal brain function and neurological disorder treatment.
• The findings contribute to the network science approach to brain function.