Neuroimaging Study

Neuroimaging research utilizes advanced imaging techniques like MRI and EEG to study brain structure and function, aiming to improve diagnosis and understanding of neurological and psychiatric disorders. Current research focuses on developing robust and efficient automated analysis methods, including deep learning models (e.g., convolutional neural networks) for image segmentation and classification, often incorporating multimodal data (genetics, clinical information) to enhance predictive power. These advancements are improving the accuracy and efficiency of neuroimaging analysis, facilitating large-scale studies and potentially leading to more precise diagnostic tools and personalized treatment strategies.