Biblio

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2016
H. B. Mehta, Mehta, V., Tsai, C. - L., Chen, H., Aparasu, R. R., and Johnson, M. L., Development and Validation of the RxDx-Dementia Risk Index to Predict Dementia in Patients with Type 2 Diabetes and Hypertension., J Alzheimers Dis, vol. 49, no. 2, pp. 423-32, 2016.
E. Avondino and Antoine, P., Heterogeneity of Cognitive Anosognosia and its Variation with the Severity of Dementia in Patients with Alzheimer's Disease., J Alzheimers Dis, vol. 50, no. 1, pp. 89-99, 2016.
K. Miwa, Tanaka, M., Okazaki, S., Yagita, Y., Sakaguchi, M., Mochizuki, H., and Kitagawa, K., Increased Total Homocysteine Levels Predict the Risk of Incident Dementia Independent of Cerebral Small-Vessel Diseases and Vascular Risk Factors., J Alzheimers Dis, vol. 49, no. 2, pp. 503-13, 2016.
H. F. M. Rhodius-Meester, Koikkalainen, J., Mattila, J., Teunissen, C. E., Barkhof, F., Lemstra, A. W., Scheltens, P., Lötjönen, J., and van der Flier, W. M., Integrating Biomarkers for Underlying Alzheimer's Disease in Mild Cognitive Impairment in Daily Practice: Comparison of a Clinical Decision Support System with Individual Biomarkers., J Alzheimers Dis, vol. 50, no. 1, pp. 261-70, 2016.
A. Koppara, Wolfsgruber, S., Kleineidam, L., Schmidtke, K., Frölich, L., Kurz, A., Schulz, S., Hampel, H., Heuser, I., Peters, O., Reischies, F. M., Jahn, H., Luckhaus, C., Hüll, M., Gertz, H. - J., Schröder, J., Pantel, J., Rienhoff, O., Rüther, E., Henn, F., Wiltfang, J., Maier, W., Jessen, F., Kornhuber, J., and Wagner, M., The Latent Dementia Phenotype δ is Associated with Cerebrospinal Fluid Biomarkers of Alzheimer's Disease and Predicts Conversion to Dementia in Subjects with Mild Cognitive Impairment., J Alzheimers Dis, vol. 49, no. 2, pp. 547-60, 2016.
G. Fernández, Manes, F., Politi, L. E., Orozco, D., Schumacher, M., Castro, L., Agamennoni, O., and Rotstein, N. P., Patients with Mild Alzheimer's Disease Fail When Using Their Working Memory: Evidence from the Eye Tracking Technique., J Alzheimers Dis, vol. 50, no. 3, pp. 827-38, 2016.
L. Xu, Wu, X., Li, R., Chen, K., Long, Z., Zhang, J., Guo, X., and Yao, L., Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers., J Alzheimers Dis, vol. 51, no. 4, pp. 1045-56, 2016.
M. Babić Leko, Borovečki, F., Dejanović, N., Hof, P. R., and Šimić, G., Predictive Value of Cerebrospinal Fluid Visinin-Like Protein-1 Levels for Alzheimer's Disease Early Detection and Differential Diagnosis in Patients with Mild Cognitive Impairment., J Alzheimers Dis, vol. 50, no. 3, pp. 765-78, 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.
Z. Shi, Zhu, Y., Wang, M., Wu, Y., Cao, J., Li, C., Xie, Z., and Shen, Y., The Utilization of Retinal Nerve Fiber Layer Thickness to Predict Cognitive Deterioration., J Alzheimers Dis, vol. 49, no. 2, pp. 399-405, 2016.