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4453 Total Publications

Probability distribution function-based classification of structural MRI for the detection of Alzheimer’s disease
Beheshti, I., & Demirel, H.
PMID: 26226415 ; 2015; Journal Computers in Biology and Medicine; vol. 64; pp. 208-16; doi:10.1016/j.compbiomed.2015.07.006
Improved longitudinal [18F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction
Brendel, M., Högenauer, M., Delker, A., Sauerbeck, J., Bartenstein, P., Seibyl, J., & Rominger, A.
PMID: 25482269 ; 2015; Journal Neuroimage; vol. 108; pp. 450-459; doi:10.1016/j.neuroimage.2014.11.055
Feature Selection Based on the SVM Weight Vector for Classification of Dementia
Bron, E., Smits, M., Niessen, W., & Klein, S.
PMID: 25974958 ; 2015; Journal IEEE Journal of Biomedical and Health Informatics; vol. 19; no. 5; pp. 1617-1626; doi:10.1109/JBHI.2015.2432832
Variations in the FRA10AC1 Fragile Site and 15q21 Are Associated with Cerebrospinal Fluid Aβ1-42 Level
Li, Q. S., Parrado, A. R., Samtani, M. N., & Narayan, V. A.
PMID: 26252872 ; PMCID:4529186 ; 2015; Journal PloS One; vol. 10; no. 8; pp. e0134000; doi:10.1371/journal.pone.0134000
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE
Ayton, S., Faux, N. G., & Bush, A. I.
PMID: 25988319 ; PMCID:4479012 ; 2015; Journal Nature Communications; vol. 6; pp. 6760; doi:10.1038/ncomms7760
Alzheimer risk genes modulate the relationship between plasma apoE and cortical PiB binding
Lazaris A, Hwang KS, Goukasian N, Ramirez LM, Eastman J, Blanken AE, Teng E, Gylys K, Cole G, Saykin AJ, Shaw LM, Trojanowski JQ, Jagust WJ, Weiner MW, Apostolova LG,.
PMID: 27066559 ; PMCID:4809461 ; 2015; Journal Neurology: Genetics; vol. 1; no. 3; pp. e22; doi:10.1212/NXG.0000000000000022
Tract-Based Analysis of White Matter Degeneration in Alzheimer’s Disease
Lee, S.-H., Coutu, J.-P., Wilkens, P., Yendiki, A., Rosas, H. D., & Salat, D. H.
PMID: 26026680 ; PMCID:4505932 ; 2015; Journal Neuroscience; vol. 301; pp. 79-89; doi:10.1016/j.neuroscience.2015.05.049
Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer’s disease in a multicohort study
Leung YY1, Toledo JB2, Nefedov A3, Polikar R4, Raghavan N5, Xie SX6, Farnum M7, Schultz T7, Baek Y2, Deerlin VV2, Hu WT8, Holtzman DM9, Fagan AM9, Perrin RJ10, Grossman M11, Soares HD12, Kling MA13, Mailman M7, Arnold SE14, Narayan VA7, Lee VM2, Shaw LM2, Baker D7, Wittenberg GM14, Trojanowski JQ2, Wang LS1
PMID: 26693175 ; PMCID:4672388 ; 2015; Journal Alzheimers Dementia; vol. 1; no. 3; pp. 339-348; doi:10.1016/j.dadm.2015.06.008
Antiphospholipid autoantibodies as blood biomarkers for detection of early stage Alzheimer’s disease
McIntyre, J. A., Ramsey, C. J., Gitter, B. D., Saykin, A. J., Wagenknecht, D. R., & Hyslop, P. A.
PMID: 25672931 ; PMCID:4490126 ; 2015; Journal Autoimmunity; vol. 48; no. 5; pp. 344-51; doi:10.3109/08916934.2015.1008464
BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER’S DISEASE.
Eunjee Lee, Hongtu Zhu, Dehan Kong, Yalin Wang, Kelly Sullivan Giovanello, and Joseph G Ibrahim, for the Alzheimer’s Disease Neuroimaging Initiative.
2015; Journal Annals of Applied Statistics; vol. 9; no. 4; pp. 2153-2178;