Biblio
“Resilience of Alzheimer's Disease to COVID-19.”, J Alzheimers Dis, vol. 77, no. 1, pp. 67-73, 2020.
, “A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1555-1573, 2018.
, “The Diagnostic and Prognostic Value of a Dual-Tasking Paradigm in a Memory Clinic.”, J Alzheimers Dis, vol. 61, no. 3, pp. 1189-1199, 2018.
, “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.
, “Association Between Serum Ceruloplasmin Specific Activity and Risk of Alzheimer's Disease.”, J Alzheimers Dis, vol. 50, no. 4, pp. 1181-9, 2016.
, “Delusions in Patients with Alzheimer's Disease: A Multidimensional Approach.”, J Alzheimers Dis, vol. 51, no. 2, pp. 427-37, 2016.
, “Dysregulation and diagnostic potential of microRNA in Alzheimer's disease.”, J Alzheimers Dis, vol. 49, no. 1, pp. 1-12, 2016.
, “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.
, “Longitudinal Changes in Functional Brain Connectivity Predicts Conversion to Alzheimer's Disease.”, J Alzheimers Dis, vol. 51, no. 2, pp. 377-89, 2016.
, “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.
, “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.
, “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.
, “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.
, “Specific Features of Subjective Cognitive Decline Predict Faster Conversion to Mild Cognitive Impairment.”, J Alzheimers Dis, vol. 52, no. 1, pp. 271-81, 2016.
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