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4453 Total Publications

Unbiased Tensor-Based Morphometry: Improved Robustness and Sample Size Estimates for Alzheimer's Disease Clinical Trials.
Hua, X., Hibar, D. P., Ching, C. R. K., Boyle, C. P., Rajagopalan, P., Gutman, B. A., … Thompson, P. M.
PMID: 23153970 ; PMCID:3785376 ; 2013; Journal Neuroimage; vol. 66; pp. 648-61; doi:10.1016/j.neuroimage.2012.10.086

Dissecting the Gene Dose-Effects of the APOE ε4 and ε2 Alleles on Hippocampal Volumes in Aging and Alzheimer’s Disease
Hostage, C. a, Roy Choudhury, K., Doraiswamy, P. M., & Petrella, J. R.
PMID: 23405083 ; PMCID:3566140 ; 2013; Journal PloS One; vol. 8; no. 2; pp. e54483; doi:10.1371/journal.pone.0054483

Heart fatty acid binding protein and Aβ-associated Alzheimer’s neurodegeneration.
Rahul S Desikan, Wesley K Thompson, Dominic Holland, Christopher P Hess, James B Brewer, Henrik Zetterberg, Kaj Blennow, Ole A Andreassen, Linda K McEvoy, Bradley T Hyman, Anders M Dale, and for the Alzheimer’s Disease Neuroimaging Initiative.
2013; Journal Molecular Neurodegeneration; vol. 8; no. 39; doi:10.1186/1750-1326-8-39

A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer’s disease
Nestor, S. M., Gibson, E., Gao, F. Q., Kiss, A., & Black, S. E.
2013; Journal Neuroimage; vol. 66; pp. 50-70; doi:10.1016/j.neuroimage.2012.10.081

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus
Shi, J., Thompson, P. M., Gutman, B., & Wang, Y.
2013; Journal Neuroimage; vol. 78; pp. 111-134; doi:10.1016/j.neuroimage.2013.04.018

Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease.
Lambert, J. C., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., … Amouyel, P.
2013; Journal Nature Genetics; vol. 45; no. 12; pp. 1452-8; doi:10.1038/ng.2802

Visual ratings of atrophy in MCI: Prediction of conversion and relationship with CSF biomarkers.
Lehmann, M., Koedam, E. L., Barnes, J., Bartlett, J. W., Barkhof, F., Wattjes, M. P., … Fox, N. C.
2013; Journal Neurobiology of Aging; vol. 34; no. 1; pp. 73-82; doi:10.1016/j.neurobiolaging.2012.03.010

Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer’s disease.
Dukart, J., Mueller, K., Villringer, A., Kherif, F., Draganski, B., Frackowiak, R., & Schroeter, M. L.
2013; Journal Neuroimage: Clinical; vol. 3; pp. 84-94; doi:10.1016/j.nicl.2013.07.005

Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987; doi:10.1371/journal.pcbi.1002987

Link Clustering to Explore Brain Dynamics Using Resting State Functional MRI
Madhyastha, T., Cao, Y., Sujitnapisatham, S., Presnyakov, G., Chaovalitwongse, W. A., Grabowski, T., & for the Alzheimer’s Disease Neuroimaging, I.
PMID: 25019093 ; PMCID:4091795 ; 2013; Journal Journal of Radiology and Radiation Therapy; vol. 1; no. 2; pp. 1012;