Modern medical imaging provides a wealth of information, using multiple imaging techniques. This is particularly true of neuroimaging, where a number of novel MRI methods have been developed to investigate brain structure and connectivity. Our focus is on the integration of multiple imaging modalities, including magnetic resonance (MR) and positron emission tomography (PET), in order to identify neural patterns related to Alzheimer’s disease. This includes the analysis of structural MR, as well as diffusion tensor imaging (DTI). The goal of this project is to identify imaging biomarkers that would allow for earlier diagnosis and improved treatment of Alzheimer’s. This work is highly collaborative, involving Dr. Feng Lin from the School of Nursing (http://www.cogtlab.com/), Dr. Steven Meyers from the Department of Imaging Sciences, and Dr. Anton Porsteinsson from the Department of Psychiatry.
Lin, F., Ren, P., Lo, Y., Chapman, B., Jacobs, A., Baran, T. M., Porsteinsson, A., & Foxe, J. Insula and inferior frontal gyrus’ activations protect memory performance against Alzheimer’s pathology in old age. Journal of Alzheimer’s Disease 55, 669-678 (2016).
Lin, F., Ren, P., Mapstone, M., Meyers, S., Porsteinsson, A., & Baran, T. M. The cingulate cortex of older adults with excellent memory capacity. Cortex 86, 83-92 (2017).
Baran, T.M. and Lin F.V. Amyloid and FDG PET of successful cognitive aging: Global and cingulate-specific differences. Journal of Alzheimer’s Disease, In Press (2018).
Wang, X., Ren, P., Baran, T. M., Razaida, R. D. S., Mapstone, M., & Lin, F. Longitudinal functional brain mapping in Supernormals. Cerebral Cortex, In Press (2018).