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1739 Total Publications

Large intracranial volume accelerates conversion to dementia in males and APOE4 non-carriers with mild cognitive impairment
H. An, S. J. Son, S. Cho, E. Y. Cho, B. Choi, S. Y. Kim and I. Alzheimer's Disease Neuroimaging
2015; Journal Int Psychogeriatr; vol. 28; no. 5; pp. 769-78; doi:10.1017/S104161021500229X
The influence of genetic variants in SORL1 gene on the manifestation of Alzheimer’s disease.
Louwersheimer, E., Ramirez, A., Cruchaga, C., Becker, T., Kornhuber, J., Peters, O., … Van der Flier, W. M.
2015; Journal Neurobiology of Aging; vol. 36; no. 3; pp. 1.61E+16; doi:10.1016/j.neurobiolaging.2014.12.007
An efficient radius-incorporated {MKL} algorithm for Alzheimer׳s disease prediction.
Liu, X., Zhou, L., Wang, L., Zhang, J., Yin, J., & Shen, D.
2015; Journal Patter Recognition; vol. 48; no. 7; pp. 2141-2150; doi:10.1016/j.patcog.2014.12.007
PLD3-variants in population studies.
Sven J. van der Lee, Henne Holstege, Tsz Hang Wong, Johanna Jakobsdottir, Joshua C. Bis, Vincent Chouraki, Jeroen G.J. van Rooij, Megan L. Grove, Albert V. Smith, Najaf Amin, Seung-Hoan Choi, Alexa S. Beiser, Melissa E. Garcia, Wilfred F.J. van IJcken, Yolande A.L. Pijnenburg, Eva Louwersheimer, Rutger W.W. Brouwer, Mirjam C.G.N. van den Hout, Edwin Oole, Gudny Eirkisdottir, Daniel Levy, Jerome I. Rotter, Valur Emilsson, Christopher J. O’Donnell, Thor Aspelund, Andre G. Uitterlinden, Lenore J. Launer, Albert Hofman, ADNI,* Eric Boerwinkle, Bruce M. Psaty, Anita L. DeStefano, Philip Scheltens, Sudha Seshadri, John C. van Swieten, Vilmundur Gudnason, Wiesje M. van der Flier, M. Arfan Ikram, and Cornelia M. van Duijn..
2015; Journal Nature;
Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages.
Cabral, C., Morgado, P. M., Campos Costa, D., & Silveira, M.
2015; Journal Computers in Biology and Medicine; vol. 58; pp. 101-109; doi:10.1016/j.compbiomed.2015.01.003
Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis.
Coupé P1, Fonov VS2, Bernard C3,4,5, Zandifar A2, Eskildsen SF6, Helmer C7,8,9, Manjón JV10, Amieva H7,8,9, Dartigues JF7,8,11, Allard M3,4,5, Catheline G3,4,5, Collins DL2; Alzheimer's Disease Neuroimaging Initiative
PMID: 26454259 ; 2015; Journal Human Brain Mapping; vol. 36; no. 12; pp. 4758-70; doi:10.1002/hbm.22926
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application
Ge, T., Nichols, T. E., Ghosh, D., Mormino, E. C., Smoller, J. W., & Sabuncu, M. R.
PMID: 25600633 ; PMCID:4339421 ; 2015; Journal Neuroimage; vol. 109; pp. 505-514; doi:10.1016/j.neuroimage.2015.01.029
Altered Gray Matter Structural Covariance Networks in Early Stages of Alzheimer’s Disease
Montembeault, M., Rouleau, I., Provost, J.-S., & Brambati, S. M.
PMID: 25994962 ; PMCID:4869809 ; 2015; Journal Cerebral Cortex; vol. 26; no. 6; pp. 1-13; doi:10.1093/cercor/bhv105
Effect of EPHA1 Genetic Variation on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer’s Disease Cohorts
Wang, H.-F., Tan, L., Hao, X.-K., Jiang, T., Tan, M.-S., Liu, Y., … Yu, J.-T.
PMID: 25182741 ; 2015; Journal Journal of Alzheimer's Disease; vol. 44; no. 1; pp. 115-123; doi:10.3233/JAD-141488