Personalized Brain Network Models Augment Individual Differences

Explore the cutting-edge field of Personalized Brain Network Models (BNMs) in this 49-minute conference talk by Sarah Muldoon from SUNY Buffalo. Discover how these computational tools simulate individual brain activity based on measured structural connections, offering insights into individual differences in brain structure and function. Learn about the process of building BNMs from neuroimaging data and their applications in predicting the effects of stimulation, disease progression, and drug treatments at an individual level. Gain valuable knowledge on how these models can be used to conduct in silico experiments, advancing our understanding of brain network structure and its impact on cognitive processes.

Sarah Muldoon - Personalized Brain Network Models Augment Individual Differences - IPAM at UCLA