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Journal Article
H. Zhang, D'Agostino, C., Forman, H. Jay, Cacciottolo, M., Thorwald, M., Mack, W. J., Liu, Q., Shkirkova, K., Lamorie-Foote, K., Sioutas, C., Pirhadi, M., Mack, W. Jean, Morgan, T. E., and Finch, C. E., Urban Air Pollution Nanoparticles from Los Angeles: Recently Decreased Neurotoxicity., J Alzheimers Dis, vol. 82, no. 1, pp. 307-316, 2021.
N. Zhang, Zhang, L., Li, Y., Gordon, M. L., Cai, L., Wang, Y., Xing, M., and Cheng, Y., Urine AD7c-NTP Predicts Amyloid Deposition and Symptom of Agitation in Patients with Alzheimer's Disease and Mild Cognitive Impairment., J Alzheimers Dis, vol. 60, no. 1, pp. 87-95, 2017.
Z. Tong, Wang, W., Luo, W., Lv, J., Li, H., Luo, H., Jia, J., and He, R., Urine Formaldehyde Predicts Cognitive Impairment in Post-Stroke Dementia and Alzheimer's Disease., J Alzheimers Dis, vol. 55, no. 3, pp. 1031-1038, 2017.
Z. Tong, Wang, W., Luo, W., Lv, J., Li, H., Luo, H., Jia, J., and He, R., Urine Formaldehyde Predicts Cognitive Impairment in Post-Stroke Dementia and Alzheimer's Disease., J Alzheimers Dis, vol. 55, no. 3, pp. 1031-1038, 2017.
Z. Tong, Wang, W., Luo, W., Lv, J., Li, H., Luo, H., Jia, J., and He, R., Urine Formaldehyde Predicts Cognitive Impairment in Post-Stroke Dementia and Alzheimer's Disease., J Alzheimers Dis, vol. 55, no. 3, pp. 1031-1038, 2017.
Z. Tong, Wang, W., Luo, W., Lv, J., Li, H., Luo, H., Jia, J., and He, R., Urine Formaldehyde Predicts Cognitive Impairment in Post-Stroke Dementia and Alzheimer's Disease., J Alzheimers Dis, vol. 55, no. 3, pp. 1031-1038, 2017.
F. Yao, Hong, X., Li, S., Zhang, Y., Zhao, Q., Du, W., Wang, Y., and Ni, J., Urine-Based Biomarkers for Alzheimer's Disease Identified Through Coupling Computational and Experimental Methods., J Alzheimers Dis, vol. 65, no. 2, pp. 421-431, 2018.
S. Dublin, Walker, R. L., Gray, S. L., Hubbard, R. A., Anderson, M. L., Yu, O., Montine, T. J., Crane, P. K., Sonnen, J. A., and Larson, E. B., Use of Analgesics (Opioids and Nonsteroidal Anti-Inflammatory Drugs) and Dementia-Related Neuropathology in a Community-Based Autopsy Cohort., J Alzheimers Dis, vol. 58, no. 2, pp. 435-448, 2017.
C. Marra, Gainotti, G., Fadda, L., Perri, R., Lacidogna, G., Scaricamazza, E., Piccininni, C., and Quaranta, D., Usefulness of an Integrated Analysis of Different Memory Tasks to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease: The Episodic Memory Score (EMS)., J Alzheimers Dis, vol. 50, no. 1, pp. 61-70, 2016.
C. Lage, Suarez, A. Gonzalez, Pozueta, A., Riancho, J., Kazimierczak, M., Bravo, M., Bonilla, J. Jimenez, Torres, Mde Arcocha, Quirce, R., Banzo, I., Vázquez-Higuera, J. Luis, Rabinovici, G. D., Rodriguez-Rodriguez, E., and Sánchez-Juan, P., Utility of Amyloid and FDG-PET in Clinical Practice: Differences Between Secondary and Tertiary Care Memory Units., J Alzheimers Dis, vol. 63, no. 3, pp. 1025-1033, 2018.
Y. - F. Shea, Barker, W., Greig-Gusto, M. T., Loewenstein, D. A., DeKosky, S. T., and Duara, R., Utility of Amyloid PET Scans in the Evaluation of Patients Presenting with Diverse Cognitive Complaints., J Alzheimers Dis, vol. 66, no. 4, pp. 1599-1608, 2018.
T. Porter, Burnham, S. C., Milicic, L., Savage, G., Maruff, P., Lim, Y. Ying, Li, Q. - X., Ames, D., Masters, C. L., Rainey-Smith, S., Rowe, C. C., Salvado, O., Groth, D., Verdile, G., Villemagne, V. L., and Laws, S. M., Utility of an Alzheimer's Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer's Disease: A Prospective Longitudinal Study., J Alzheimers Dis, vol. 66, no. 3, pp. 1193-1211, 2018.
T. Porter, Burnham, S. C., Milicic, L., Savage, G., Maruff, P., Lim, Y. Ying, Li, Q. - X., Ames, D., Masters, C. L., Rainey-Smith, S., Rowe, C. C., Salvado, O., Groth, D., Verdile, G., Villemagne, V. L., and Laws, S. M., Utility of an Alzheimer's Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer's Disease: A Prospective Longitudinal Study., J Alzheimers Dis, vol. 66, no. 3, pp. 1193-1211, 2018.
T. Porter, Burnham, S. C., Milicic, L., Savage, G., Maruff, P., Lim, Y. Ying, Li, Q. - X., Ames, D., Masters, C. L., Rainey-Smith, S., Rowe, C. C., Salvado, O., Groth, D., Verdile, G., Villemagne, V. L., and Laws, S. M., Utility of an Alzheimer's Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer's Disease: A Prospective Longitudinal Study., J Alzheimers Dis, vol. 66, no. 3, pp. 1193-1211, 2018.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment., J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
M. F. Bergeron, Landset, S., Zhou, X., Ding, T., Khoshgoftaar, T. M., Zhao, F., Du, B., Chen, X., Wang, X., Zhong, L., Liu, X., and J Ashford, W., Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment., J Alzheimers Dis, vol. 77, no. 4, pp. 1545-1558, 2020.
M. J. Lan, R Ogden, T., Kumar, D., Stern, Y., Parsey, R. V., Pelton, G. H., Rubin-Falcone, H., Pradhaban, G., Zanderigo, F., Miller, J. M., J Mann, J., and Devanand, D. P., Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia., J Alzheimers Dis, vol. 60, no. 3, pp. 939-947, 2017.
C. Li, Neugroschl, J., Luo, X., Zhu, C., Aisen, P., Ferris, S., and Sano, M., The Utility of the Cognitive Function Instrument (CFI) to Detect Cognitive Decline in Non-Demented Older Adults., J Alzheimers Dis, vol. 60, no. 2, pp. 427-437, 2017.
C. Li, Neugroschl, J., Luo, X., Zhu, C., Aisen, P., Ferris, S., and Sano, M., The Utility of the Cognitive Function Instrument (CFI) to Detect Cognitive Decline in Non-Demented Older Adults., J Alzheimers Dis, vol. 60, no. 2, pp. 427-437, 2017.
A. Pons, LaMonica, H. M., Mowszowski, L., Köhler, S., Deckers, K., and Naismith, S. L., Utility of the LIBRA Index in Relation to Cognitive Functioning in a Clinical Health Seeking Sample., J Alzheimers Dis, vol. 62, no. 1, pp. 373-384, 2018.
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.
S. André, Ansciaux, E., Saidi, E., Larbanoix, L., Stanicki, D., Nonclercq, D., Elst, L. Vander, Laurent, S., Muller, R. N., and Burtea, C., Validation by Magnetic Resonance Imaging of the Diagnostic Potential of a Heptapeptide-Functionalized Imaging Probe Targeted to Amyloid-β and Able to Cross the Blood-Brain Barrier., J Alzheimers Dis, vol. 60, no. 4, pp. 1547-1565, 2017.
S. André, Ansciaux, E., Saidi, E., Larbanoix, L., Stanicki, D., Nonclercq, D., Elst, L. Vander, Laurent, S., Muller, R. N., and Burtea, C., Validation by Magnetic Resonance Imaging of the Diagnostic Potential of a Heptapeptide-Functionalized Imaging Probe Targeted to Amyloid-β and Able to Cross the Blood-Brain Barrier., J Alzheimers Dis, vol. 60, no. 4, pp. 1547-1565, 2017.
E. Stallard, Kociolek, A., Jin, Z., Ryu, H., Lee, S., Cosentino, S., Zhu, C., Gu, Y., Fernandez, K., Hernandez, M., Kinosian, B., and Stern, Y., Validation of a Multivariate Prediction Model of the Clinical Progression of Alzheimer's Disease in a Community-Dwelling Multiethnic Cohort., J Alzheimers Dis, vol. 95, no. 1, pp. 93-117, 2023.
V. Pérez-Grijalba, Fandos, N., Canudas, J., Insua, D., Casabona, D., Lacosta, A. M., Montañés, M., Pesini, P., and Sarasa, M., Validation of Immunoassay-Based Tools for the Comprehensive Quantification of Aβ40 and Aβ42 Peptides in Plasma., J Alzheimers Dis, vol. 54, no. 2, pp. 751-62, 2016.

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