Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain...

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Understanding brain communication mechanisms is a major scientific challenge.
• The communication through coherence (CTC) hypothesis suggests effective neural communication relies on synchronized neuronal activity.
• Cortical coherence is proposed as a fundamental mechanism for large-scale, long-distance brain communication.

Purpose of the Study:

• To link the communication through coherence (CTC) hypothesis with the concept of metastability.
• To explore how coordinated neural activity supports large-scale brain communication using computational modeling.
• To provide new evidence for the CTC hypothesis based on multimodal neuroimaging data.

Main Methods:

• Whole-brain computational modeling was employed.
• Multimodal neuroimaging data was utilized.
• The study analyzed the relationship between neural synchrony (coherence) and brain network dynamics.

Main Results:

• A strong link was established between the communication through coherence (CTC) hypothesis and metastability.
• Computational models demonstrated how coordinated neural activity (coherence) facilitates exploration of functional brain states.
• The findings support the role of cortical coherence in enabling metastability and large-scale brain communication.

Conclusions:

• The study reinforces the communication through coherence (CTC) hypothesis as a key mechanism for brain function.
• Metastability, supported by structural connectivity, provides a framework for understanding CTC.
• Coordinated neural activity is crucial for flexible and adaptive large-scale brain communication.