Multi-Site fMRI Data Analysis
Need for more data to increase the statistical power of brain mapping studies made the researchers look at multi-site studies. However, a major limitation in pooling data from multiple sites, is the diversity in acquisition and analysis methods that effect the imaging results. Our study aims to develop techniques to reduce the variability of activation maps produced using fMRI for a particular task at different sites.
Neuroimaging Biomarkers for Neurodegenerative Diseases
Early detection of neurodegenerative disorders, such as Alzheimer’s, Parkinson’s and Huntington’s diseases, would enable more effective diagnosis and treatment of patients. Our efforts are focused on identifying biomarkers from MRI, PET and DTI scans to help recongize patients that are at risk of developing a specific neurological disorder.
Analysis of anatomical, functional and eective connectivity in the brain has already contributed significantly to the understanding of diseases such as Alzheimer’s and Autism. Our lab is interested in developing models for estimating and characterizing connectivity patterns associated with dynamic brain processes.