رمزگشایی پیچیدگی شبکه های مغزی: مفاهیم کلی و فرصت ها

The brain is one of the most fascinating organs, enabling our perceptions of the world, handling our emotions and decisions, and shaping our individual and social behaviors. Traditionally, the brain was considered a collection of independent elements, each corresponding to a specific function. However, network analysis, a prevalent approach in neuroscience, allows us to view the brain as an interconnected system. This enhances our understanding of both lower and higher-level brain and cognitive functions. Common graph theory measures are used to depict neural integration and functional segregation in the brain, assisting in differentiating between brain states and neurological disorders. Energy-based approaches, grounded in statistical mechanics, are gaining the attention of neuroscientists. These approaches enable the design of an energy landscape for the brain and the tracking of transitions between neural states. Exploring higher-order interactions, such as frustration, provides an opportunity for a deeper understanding of key elements of the brain and their impact on brain dynamics. As we move forward in brain science, the application of cutting-edge complex network techniques offers a promising to enhance our interpretation of brain functions. In this seminar, we will introduce complex brain networks and explore some potential approaches in this field, which will be interesting for any complex network scientist.

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