Marc Raichle

Learn More
Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-β deposition, metabolism, vascular, functional activity at rest, structural properties, cognitive integrity and peripheral proteins levels are characterized in relation to LOAD(More)
Yuetiva Deming1,*, Jian Xia1,2,*, Yefei Cai1, Jenny Lord1,3, Jorge L. Del-Aguila1, Maria Victoria Fernandez1, David Carrell1, Kathleen Black1, John Budde1, ShengMei Ma1, Benjamin Saef1, Bill Howells1, Sarah Bertelsen1, Matthew Bailey4, Perry G. Ridge4, Alzheimer’s Disease Neuroimaging Initiative (ADNI)¶, David Holtzman5,6,7,8, John C. Morris5,6,7,8, Kelly(More)
Little is known about how genetic variation contributes to neuroanatomical variability, and whether particular genomic regions comprising genes or evolutionarily conserved elements are enriched for effects that influence brain morphology. Here, we examine brain imaging and single-nucleotide polymorphisms (SNPs) data from ∼2,700 individuals. We show that a(More)
Mild cognitive impairment (MCI) is a precursor phase of Alzheimer's disease (AD). As current treatments may be effective only at the early stages of AD, it is important to track MCI patients who will convert to AD. The aim of this study is to develop a high performance semi-mechanism based approach to predict the conversion from MCI to AD and improve our(More)
The Pulse Couple Neural Network (PCNN) was developed by Eckhorn to model the observed synchronization of neural assemblies in the visual cortex of small mammals such as a cat. In this dissertation, three novel PCNN based automatic segmentation algorithms were developed to segment Magnetic Resonance Imaging (MRI) data: (a) PCNN image ‘signature’ based single(More)
  • 1