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1800 Total Publications

Biomarkers and Functional Decline in Prodromal Alzheimer's Disease.
C. Robb, C. Udeh-Momoh, S. Wagenpfeil, J. Schope, P. Alexopoulos, R. Perneczky and I. Alzheimer's Disease Neuroimaging
PMID: 28372331 ; 2017; Journal J Alzheimers Dis; vol. 58; no. 1; pp. 69-78; AWTX50iGMOwVf_qbJr3C doi:10.3233/JAD-161162
A Functional Varying-Coefficient Single-Index Model for Functional Response Data
J. Li, C. Huang and H. Zhu
PMID: 29200540 ; PMCID:5710774 ; 2017; Journal Journal of the American Statistical Association; vol. 112; no. 519; pp. 1169-1181; AWTX4BB4dzjauPDbjhiQ doi:10.1080/01621459.2016.1195742
Association between tau deposition and antecedent amyloid-beta accumulation rates in normal and early symptomatic individuals
D. Tosun, S. Landau, P. S. Aisen, R. C. Petersen, M. Mintun, W. Jagust, M. W. Weiner and I. Alzheimer's Disease Neuroimaging
2017; Journal Brain; vol. 140; no. 5; pp. 1499-1512; AWUWyMh1dzjauPDbjhtn doi:10.1093/brain/awx046
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases
S. E. Viswanath, P. Tiwari, G. Lee, A. Madabhushi and I. Alzheimer's Disease Neuroimaging
PMCID:5217665 ; 2017; Journal BMC Med Imaging; vol. 17; no. 1; pp. 2; AWUWyMh1dzjauPDbjhtr doi:10.1186/s12880-016-0172-6
Predictive modelling using neuroimaging data in the presence of confounds
A. Rao, J. M. Monteiro, J. Mourao-Miranda and I. Alzheimer's Disease
PMCID:5391990 ; 2017; Journal Neuroimage; vol. 150; pp. 23-49; AWUWw_FWdzjauPDbjhtc doi:10.1016/j.neuroimage.2017.01.066
Targeted metabolomics and medication classification data from participants in the ADNI1 cohort
L. St John-Williams, C. Blach, J. B. Toledo, D. M. Rotroff, S. Kim, K. Klavins, R. Baillie, X. Han, S. Mahmoudiandehkordi, J. Jack, T. J. Massaro, J. E. Lucas, G. Louie, A. A. Motsinger-Reif, S. L. Risacher, I. Alzheimer's Disease Neuroimaging, C. Alzheimer's Disease Metabolomics, A. J. Saykin, G. Kastenmuller, M. Arnold, T. Koal, M. A. Moseley, L. M. Mangravite, M. A. Peters, J. D. Tenenbaum, J. W. Thompson and R. Kaddurah-Daouk
PMCID:5644370 ; 2017; Journal Sci Data; vol. 4; pp. 170140; AWUWw_FWdzjauPDbjhth doi:10.1038/sdata.2017.140
Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment
T. Jacquemont, F. De Vico Fallani, A. Bertrand, S. Epelbaum, A. Routier, B. Dubois, H. Hampel, S. Durrleman, O. Colliot and I. Alzheimer's Disease Neuroimaging
2017; Journal Neurobiol Aging; vol. 55; pp. 177-189; AWUWuRB8MOwVf_qbJr-u doi:10.1016/j.neurobiolaging.2017.03.023
Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations
J. Kim, W. Pan and I. Alzheimer's Disease Neuroimaging
PMCID:5340645 ; 2017; Journal Genet Epidemiol; vol. 41; no. 3; pp. 259-277; AWUWuRB8MOwVf_qbJr-w doi:10.1002/gepi.22033
An Optimal Transportation based Univariate Neuroimaging Index
L. Mi, W. Zhang, J. Zhang, Y. Fan, D. Goradia, K. Chen, E. M. Reiman, X. Gu and Y. Wang
PMCID:5719504 ; 2017; Journal Proc IEEE Int Conf Comput Vis; vol. 2017; pp. 182-191; AWUWwDjFdzjauPDbjhtN
Diagnostic performance of an automated analysis software for the diagnosis of Alzheimer’s dementia with 18F FDG PET
S. Partovi, R. Yuh, S. Pirozzi, Z. Lu, S. Couturier, U. Grosse, M. D. Schluchter, A. Nelson, R. Jones, J. K. O'Donnell and P. Faulhaber
PMID: 28123864 ; PMCID:5259585 ; 2017; Journal Am J Nucl Med Mol Imaging; vol. 7; no. 1; pp. 23-Dec; AWTYkLG3MOwVf_qbJr6w