The hidden repertoire of brain dynamics and dysfunction

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Neural system dynamics govern behavior.
• Understanding these dynamics is crucial for brain disorder research.
• Existing models may not fully capture complex neural interactions.

Purpose of the Study:

• Introduce the Structured Flows on Manifolds (SFM) framework.
• Explain how SFM models neural coordination for behavior.
• Apply SFM to understand brain disorders like epilepsy and dementia.

Main Methods:

• Developed the Structured Flows on Manifolds (SFM) framework.
• Utilized the Epileptor computational model to demonstrate SFM.
• Linked neuromodulation and network configuration switches to SFM dynamics.

Main Results:

• SFM posits neural processes as flows on low-dimension manifolds.
• The Epileptor model illustrates SFM, capturing epilepsy-like dynamics.
• SFM can model both innate brain states and adaptive responses to damage.

Conclusions:

• SFM provides a unified framework for neural dynamics and behavior.
• The framework uniquely models brain disorders, including epilepsy and dementia.
• Existing tools can measure and model SFM, facilitating research into cognition and behavior.