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, successful cognitive aging, and fatigue. This includes the analysis of structural MR, as well as diffusion tensor imaging (DTI). The goals of these projects are to identify imaging biomarkers that would allow for earlier diagnosis and improved treatment of Alzheimer’s, and to identify neural correlates of successful cognitive aging and fatigue. This work is highly collaborative, involving Dr. Feng Lin from the School of Nursing and Dr. Zhengwu Zhang from the Department of Biostatistics and Computational Biology.
F. Lin, P. Ren, Y. Lo, B. Chapman, A. Jacobs, T.M. Baran, A. Porsteinsson and J. Foxe. 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).
F. Lin, P. Ren, M. Mapstone, S. Meyers, A. Porsteinsson and T.M. Baran. The cingulate cortex of older adults with excellent memory capacity. Cortex 86, 83-92 (2017).
T.M. Baran and F.V. Lin. Amyloid and FDG PET of successful cognitive aging: Global and cingulate-specific differences. Journal of Alzheimer’s Disease 66, 307-318 (2018).
X. Wang, P. Ren, T.M. Baran, R.D.S. Razaida, M. Mapstone, and F. Lin. Longitudinal functional brain mapping in Supernormals. Cerebral Cortex 29, 242-252 (2019).
P. Ren, A. Anderson, K. McDermott, T.M. Baran, and F.V. Lin. Cortical-striatal network and cognitive fatigue in old age. Aging, In Press (2019).
T.M. Baran, Z. Zhang, A.J. Anderson, K. McDermott, and F. Lin. Brain structural connectomes shared by subjective experience of different types of state fatigue (Under Review).