Biblio

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2016
J. Dukart, Sambataro, F., and Bertolino, A., Accurate Prediction of Conversion to Alzheimer's Disease using Imaging, Genetic, and Neuropsychological Biomarkers., J Alzheimers Dis, vol. 49, no. 4, pp. 1143-59, 2016.
M. Siotto, Simonelli, I., Pasqualetti, P., Mariani, S., Caprara, D., Bucossi, S., Ventriglia, M., Molinario, R., Antenucci, M., Rongioletti, M., Rossini, P. Maria, and Squitti, R., Association Between Serum Ceruloplasmin Specific Activity and Risk of Alzheimer's Disease., J Alzheimers Dis, vol. 50, no. 4, pp. 1181-9, 2016.
G. D'Onofrio, Panza, F., Sancarlo, D., Paris, F. F., Cascavilla, L., Mangiacotti, A., Lauriola, M., Paroni, G. H., Seripa, D., and Greco, A., Delusions in Patients with Alzheimer's Disease: A Multidimensional Approach., J Alzheimers Dis, vol. 51, no. 2, pp. 427-37, 2016.
Y. Pan, Liu, R., Terpstra, E., Wang, Y., Qiao, F., Wang, J., Tong, Y., and Pan, B., Dysregulation and diagnostic potential of microRNA in Alzheimer's disease., J Alzheimers Dis, vol. 49, no. 1, pp. 1-12, 2016.
J. Kida, Nemoto, K., Ikejima, C., Bun, S., Kakuma, T., Mizukami, K., and Asada, T., Impact of Depressive Symptoms on Conversion from Mild Cognitive Impairment Subtypes to Alzheimer's Disease: A Community-Based Longitudinal Study., J Alzheimers Dis, vol. 51, no. 2, pp. 405-15, 2016.
L. Serra, Cercignani, M., Mastropasqua, C., Torso, M., Spanò, B., Makovac, E., Viola, V., Giulietti, G., Marra, C., Caltagirone, C., and Bozzali, M., Longitudinal Changes in Functional Brain Connectivity Predicts Conversion to Alzheimer's Disease., J Alzheimers Dis, vol. 51, no. 2, pp. 377-89, 2016.
C. Lange, Suppa, P., Frings, L., Brenner, W., Spies, L., and Buchert, R., Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion., J Alzheimers Dis, vol. 49, no. 4, pp. 945-59, 2016.
P. Suppa, Hampel, H., Kepp, T., Lange, C., Spies, L., Fiebach, J. B., Dubois, B., and Buchert, R., Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment., J Alzheimers Dis, vol. 51, no. 3, pp. 867-73, 2016.
M. Gallucci, Spagnolo, P., Aricò, M., and Grossi, E., Predictors of Response to Cholinesterase Inhibitors Treatment of Alzheimer's Disease: Date Mining from the TREDEM Registry., J Alzheimers Dis, vol. 50, no. 4, pp. 969-79, 2016.
F. Bermejo-Pareja, Contador, I., Trincado, R., Lora, D., Sánchez-Ferro, Á., Mitchell, A. J., Boycheva, E., Herrero, A., Hernández-Gallego, J., Llamas, S., Galende, A. Villarejo, and Benito-León, J., Prognostic Significance of Mild Cognitive Impairment Subtypes for Dementia and Mortality: Data from the NEDICES Cohort., J Alzheimers Dis, vol. 50, no. 3, pp. 719-31, 2016.
M. A. Fernández-Blázquez, Ávila-Villanueva, M., Maestú, F., and Medina, M., Specific Features of Subjective Cognitive Decline Predict Faster Conversion to Mild Cognitive Impairment., J Alzheimers Dis, vol. 52, no. 1, pp. 271-81, 2016.