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Creating three dimensional models of Alzheimer’s disease

BackgroundAlzheimer’s disease prevalence will reach epidemic proportions in coming decades. There is a need for impactful educational materials to help patients, families, medical practitioners, and policy makers understand the nature and impact of the disease. Defining an effective workflow to create such models from existing segmentation tools will be a valuable contribution in...

Early Indications of Future Cognitive Decline: Stable versus Declining Controls

This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer’s Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those...

Network-driven plasma proteomics expose molecular changes in the Alzheimer’s brain

Background Biological pathways that significantly contribute to sporadic Alzheimer’s disease are largely unknown and cannot be observed directly. Cognitive symptoms appear only decades after the molecular disease onset, further complicating analyses. As a consequence, molecular research is often restricted to late-stage post-mortem studies of brain tissue. However, the disease...

Fine mapping of the α-T catenin gene to a quantitative trait locus on chromosome 10 in late-onset Alzheimer's disease pedigrees

Using plasma amyloid β protein (Aβ42) levels as an intermediate, quantitative phenotype for late onset Alzheimer's disease (LOAD), we previously obtained significant linkage at ∼80 cM on chromosome 10. Linkage to the same region was obtained independently in a study of affected LOAD sib-pairs. Together, these two studies provide strong evidence for a novel LOAD locus on...

Large-scale genomics unveil polygenic architecture of human cortical surface area

, Sarah Murray, Cinnamon Bloss, Mark Appelbaum, Anthony Gamst, Wesley Thompson & Hauke BartschAlzheimer’s Disease Neuroimaging InitiativeMichael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

FargherConsortiaThe Alzheimer’s Disease Neuroimaging InitiativeMichael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

Accumulating evidence suggests that Alzheimer’s disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns and graph theory. We calculated similarities between subjects in their atrophy patterns throughout the whole brain, and clustered subjects with similar atrophy patterns using...

Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology

. FurstConsortiaThe Alzheimer's Disease Neuroimaging InitiativeMichael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

The Clusterin (CLU) gene, also known as apolipoprotein J (ApoJ), is currently the third most associated late-onset Alzheimer’s disease (LOAD) risk gene. However, little was known about the possible effect of CLU genetic variants on AD pathology in brain. Here, we evaluated the interaction between 7 CLU SNPs (covering 95% of genetic variations) and the role of CLU in β-amyloid (A...

Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

FriedlStanford University, Stanford, California, USAJerome A. Yesavage, Joy L. Taylor & Ansgar J. FurstConsortiaThe Alzheimer’s Disease Neuroimaging InitiativeMichael W. Weiner, Paul Aisen, Ronald Petersen

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Graff-Radford, Francine Parfitt, Tracy Kendall, Heather Johnson, Ronald Petersen, Clifford R. Jack Jr., Matthew Bernstein, Bret Borowski, Jeff Gunter, Matt Senjem, Prashanthi Vemuri, David Jones, Kejal

Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE

, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John Morris, Leslie M. Shaw, Zaven Khachaturian, Greg Sorensen