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1800 Total Publications

Depressive symptoms accelerate cognitive decline in amyloid-positive MCI patients
Brendel, M., Pogarell, O., Xiong, G., Delker, A., Bartenstein, P., & Rominger, A.
PMID: 25631614 ; PMCID:5849231 ; 2015; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 42; no. 5; pp. 716-24; AWTYEk81dzjauPDbjhkM doi:10.1007/s00259-014-2975-4
Alzheimer's disease biomarkers as outcome measures for clinical trials in MCI
Caroli, A., Prestia, A., Wade, S., Kewei, C., Ayutyanont, N., Landau, S., … Initiative, for the A. D. N.
PMID: 25437302 ; PMCID:4437812 ; 2015; Journal Alzheimer's Disease and Associated Disorders; vol. 29; no. 2; pp. 101-109; AWTX7-JeMOwVf_qbJr3T doi:10.1097/WAD.0000000000000071
Improved Power for Characterizing Longitudinal Amyloid-b PET Changes and Evaluating Amyloid-Modifying Treatments with a Cerebral White Matter Reference Region
Chen K1, Roontiva A2, Thiyyagura P2, Lee W2, Liu X2, Ayutyanont N2, Protas H2, Luo JL2, Bauer R2, Reschke C2, Bandy D2, Koeppe RA3, Fleisher AS4, Caselli RJ5, Landau S6, Jagust WJ6, Weiner MW7, Reiman EM8; Alzheimer’s Disease Neuroimaging Initiative.
PMID: 25745091 ; 2015; Journal J Nucl Med; vol. 56; no. 4; pp. 560-6; AWTX7-JeMOwVf_qbJr3q doi:10.2967/jnumed.114.149732
Amyloid PET in European and North American cohorts; and exploring age as a limit to clinical use of amyloid imaging
Chiotis, K., Carter, S. F., Farid, K., Savitcheva, I., & Nordberg, A.
PMID: 26130168 ; PMCID:4521094 ; 2015; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 42; no. 10; pp. 1492-506; AWTX-r2FMOwVf_qbJr4A doi:10.1007/s00259-015-3115-5
Depressive Symptoms and Small Hippocampal Volume Accelerate the Progression to Dementiafrom Mild Cognitive Impairment.
Chung JK, Plitman E, Nakajima S, et al.
PMID: 26519442 ; 2015; Journal Journal of Alzheimer's Disease; vol. 49; no. 3; pp. 743-54; AWTX-r2FMOwVf_qbJr4K doi:10.3233/JAD-150679
Interaction of Cigarette Smoking History With APOE Genotype and Age on Amyloid Level, Glucose Metabolism, and Neurocognition in Cognitively Normal Elders
T. C. Durazzo, N. Mattsson, M. W. Weiner and I. Alzheimer's Disease Neuroimaging
PMID: 25847292 ; PMCID:5967295 ; 2015; Journal Nicotine Tob Res; vol. 18; no. 2; pp. 204-11; AWTYFMuTwAl_G9zjEvYk doi:10.1093/ntr/ntv075
Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer’s Disease Diagnosis
M. Liu, D. Zhang, E. Adeli and D. Shen
2015; Journal IEEE Trans Biomed Eng; vol. 63; no. 7; pp. 1473-82; AWTYMRBqMOwVf_qbJr6U doi:10.1109/TBME.2015.2496233
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; AWTX5LQ2MOwVf_qbJr12 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; AWTX5LQ2MOwVf_qbJr2Z 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; AWTX5LQ2MOwVf_qbJr2d doi:10.1109/JBHI.2015.2432832