04.11.2022 1-day worskshop on Computational Psychiatry and control theory

Network control is an emerging field where two lines of research, namely control and network theories, are combined to study complex systems. The strength of network control in comparison with existing techniques lies in its ability to make concrete prediction with respect to the future behavior of the studied system and associate it with the system’s physical structure. When applied to brain data, network control not only allows to describe the complex temporal patterns of neural activity within a mathematically rigorous quantitative framework, but also directly predicts the full trajectory of state transitions based on the algebraic distribution of driver nodes and the time course of the input signals.
Recent applications of network control theory to study brain dynamics have proven it to be a potent tool to mechanistically study neural patterns where new insights about the brain properties are unfolded and new information about the cognitive and functional roles of different brain regions are gained.

Since many neuropsychiatric disorders are associated with dysregulated neural activity, investigation of brain changes using network control is a promising approach to explore the neurobiology of psychiatric disorders which provides a new perspective to inform potential alternative or supplementary treatment options. Recent examples are studies on major depression, dementia, psychosis, or brain stimulation as a treatment option.

We are currently planning the event. If you are interested to kow more in advance, please contact Prof. Jamalabadi.