Alzheimer’s Disease Neuroimaging Initiative

4453 Total Publications

Year	Title	Author	Journal
2013	Multilocus genetic profiling to empower drug trials and predict brain atrophy.	Kohannim, O., Hua, X., Rajagopalan, P., Hibar, D. P., Jahanshad, N., Grill, J. D., … Thompson, P. M.	Journal Neuroimage: Clinical;
2013	Advanced Psychometric Analysis and the Alzheimer's Disease Neuroimaging Initiative: Reports from the 2011 Friday Harbor Conference	Dan Mungas,1 Paul K. Crane,2 Laura E. Gibbons,2 Jennifer J. Manly,3 M. Maria Glymour,4 and Richard N. Jones5	Journal Brain Imaging Behavior;
2013	Alzheimer’s Disease Risk Assessment Using Large-Scale Machine Learning Methods	Casanova, R., Hsu, F.-C., Sink, K. M., Rapp, S. R., Williamson, J. D., Resnick, S. M., & Espeland, M. a.	Journal PloS One;
2013	Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer’s disease dementia	Arbizu, J., Prieto, E., Martínez-Lage, P., Martí-Climent, J. M., García-Granero, M., Lamet, I., … Weiner, M. W.	Journal European Journal of Nuclear Medicine and Molecular Imaging;
2013	GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease	Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., … Goate, A. M.	Journal Neuron;
2013	Disease progression model in subjects with mild cognitive impairment from the Alzheimer’s disease neuroimaging initiative: CSF biomarkers predict population subtypes.	Samtani, M. N., Raghavan, N., Shi, Y., Novak, G., Farnum, M., Lobanov, V., … Narayan, V. a.	Journal British Journal of Clinical Pharmacology;
2013	Prediction of Alzheimer’s disease and mild cognitive impairment using cortical morphological patterns.	Wee, C.-Y., Yap, P.-T., & Shen, D.	Journal Human Brain Mapping;
2013	Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration.	Leung, K. K., Bartlett, J. W., Barnes, J., Manning, E. N., Ourselin, S., & Fox, N. C.	Journal Neurology;
2013	Structural interactions within the default mode network identified by Bayesian network analysis in Alzheimer’s disease.	Wang, Y., Chen, K., Yao, L., Jin, Z., & Guo, X.	Journal PloS One;
2013	White matter hyperintensities and cerebral amyloidosis: Necessary and sufficient for clinical expression of Alzheimer’s disease?	Provenzano, F. A., Muraskin, J., Tosto, G., Narkhede, A., Wasserman, B. T., Griffith, E. Y., … Brickman, A. M.	Journal JAMA Neurology;