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1800 Total Publications

Anxiety Symptoms in Amnestic Mild Cognitive Impairment Are Associated with Medial Temporal Atrophy and Predict Conversion to Alzheimer Disease
Mah, L., Binns, M. a, & Steffens, D. C
PMID: 25500120 ; 2014; Journal American Journal of Geriatric Psychiatry; vol. 23; no. 5; pp. 1-11; AWTYNIDFwAl_G9zjEvbG doi:10.1016/j.jagp.2014.10.005
Alterations in brain leptin signalling in spite of unchanged CSF leptin levels in Alzheimer’s disease
Maioli, S., Lodeiro, M., Merino-Serrais, P., Falahati, F., Khan, W., Puerta, E., … Cedazo-Minguez, A.
PMID: 25453257 ; 2014; Journal Aging Cell; vol. 3; pp. 1-8; AWTYNIDFwAl_G9zjEvbH doi:10.1111/acel.12281
Everyday Cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment
Marshall, G. A., Zoller, A. S., Kelly, K. E., Amariglio, R. E., Locascio, J. J., Johnson, K. A., … For The Alzheimer’s Disease Neuroimaging Initiative.
PMID: 25274110 ; PMCID:4247808 ; 2014; Journal Current Alzheimer's Research; vol. 11; no. 9; pp. 853-61; AWTYNIDFwAl_G9zjEvbR doi:10.1016/j.biotechadv.2011.08.021.Secreted
Association between NME8 Locus Polymorphism and Cognitive Decline, Cerebrospinal Fluid and Neuroimaging Biomarkers in Alzheimer’s Disease
Liu, Y., Yu, J.-T., Wang, H.-F., Hao, X.-K., Yang, Y.-F., Jiang, T., … Tan, L.
PMID: 25486118 ; PMCID:4259473 ; 2014; Journal PloS One; vol. 9; pp. e114777; AWTYMRBqMOwVf_qbJr6O doi:10.1371/journal.pone.0114777
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion
Thung, K. H., Wee, C. Y., Yap, P. T., & Shen, D.
PMID: 24480301 ; PMCID:4096013 ; 2014; Journal Neuroimage; vol. 91; pp. 386-400; AWTYmoe0dzjauPDbjhoe doi:10.1016/j.neuroimage.2014.01.033
Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition
Toledo, J. B., Weiner, M. W., Wolk, D. a, Da, X., Chen, K., Arnold, S. E., … Trojanowski, J. Q.
PMID: 24602322 ; PMCID:4008258 ; 2014; Journal Acta Neuropathologica Communications; vol. 2; no. 1; pp. 26; AWTYmoe0dzjauPDbjhol doi:10.1186/2051-5960-2-26
integrative analysis of multi-dimensional imaging genomics data for alzheimers disease prediction
Zhang, Z., Huang, H., & Shen, D.
PMID: 25368574 ; PMCID:4201101 ; 2014; Journal Frontiers in Aging Neuroscience; vol. 6; pp. 260; AWTYs7amwAl_G9zjEvfe doi:10.3389/fnagi.2014.00260
Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics
Schwarz, C. G., Reid, R. I., Gunter, J. L., Senjem, M. L., Przybelski, S. a., Zuk, S. M., … Jack, C. R.
PMID: 24650605 ; PMCID:4137565 ; 2014; Journal Neuroimage; vol. 94; pp. 65-78; AWTYl1zNwAl_G9zjEvd5 doi:10.1016/j.neuroimage.2014.03.026
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer’s Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning
J., W., Z., Z., B.D., R., S., F., J., Y., A.J., S., & L., S.
PMID: 24710828 ; PMCID:4113117 ; 2014; Journal IEEE Transactions on Medical Imaging; vol. 33; no. 7; pp. 1475-87; AWTYnnPpwAl_G9zjEve2 doi:10.1109/TMI.2014.2314712
Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines
Khedher, L., Ramirez, J., Gorriz, J. M., & Brahim, A.
PMID: 25488233 ; PMCID:5081132 ; 2014; Journal Studies in Health Technology and Informatics; vol. 207; pp. 271-279; AWTYJ1j0wAl_G9zjEvaD doi:10.1177/0962280213502437