About

Welcome to the Neuroimaging Imaging with Deep Learning Lab (NIDLL)!

The Neuroimaging and Deep Learning Lab (NIDLL) is dedicated to advancing research in neuroimaging using deep learning techniques to explore the relationship between poor sleep quality and faster brain aging in adults. Our primary goal is to predict long-term outcomes for neurodegenerative disorders. Using multi-contrast MRI data collected over time, we analyze and quantify brain structural and functional variability. 

Our expertise lies in employing methods such as surface-based morphology, texture modeling, network topology analysis, and multivariate statistical modeling within a comprehensive framework. By studying brain structures in both healthy individuals and those affected by neurological conditions like epilepsy, dementia, and preterm birth, we aim to uncover atypical alterations in brain structure and networks and predict clinical outcomes using advanced pattern analysis techniques, including machine learning and deep learning. 

Currently, we are particularly focused on the morphometry of the perivascular space and non-invasive measurement of Glymphatic flow (a water flow system in the brain that helps clear waste products and toxins) using MRI and artificial intelligence. This research enhances our understanding of the underlying mechanisms involved in sleep disorders, accelerated brain aging due to poor sleep and impaired Glymphatic function, and neurodegenerative diseases such as Alzheimer's disease and other forms of dementia. 

Dr. Hosung Kim serves as the PI of NIDLL, and guides and coordinates the research efforts of the lab members. We welcome you to join the lab and participate in our valuable research.

Contact hosung.kim@loni.usc.edu if you are interested in becoming a new lab member.