Task Based

Task-based neuroimaging research focuses on understanding brain activity patterns elicited by specific cognitive or sensory tasks, primarily using fMRI and EEG. Current research emphasizes developing advanced machine learning models, including graph neural networks, transformers, and physics-informed networks, to analyze the complex spatiotemporal dynamics of brain activity during these tasks, often incorporating techniques like attention mechanisms and multi-task learning. These advancements aim to improve the accuracy of diagnostic classification for neurological and psychiatric disorders and to identify robust biomarkers for disease, ultimately enhancing our understanding of brain function and paving the way for more effective clinical applications.