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Journal Article
A. L. Jefferson, Gifford, K. A., Mae Y Acosta, L., Bell, S. P., Donahue, M. J., L Davis, T., Gottlieb, J. A., Gupta, D. K., Hohman, T. J., Lane, E. M., Libon, D. J., Mendes, L. A., Niswender, K., Pechman, K. R., Rane, S., Ruberg, F. L., Su, Y. Ru, Zetterberg, H., and Liu, D., “The Vanderbilt Memory & Aging Project: Study Design and Baseline Cohort Overview.”, J Alzheimers Dis, vol. 52, no. 2, pp. 539-59, 2016.
O. Anna Skrobot, McKnight, A. Jayne, Passmore, P. Anthony, Seripa, D., Mecocci, P., Panza, F., Kalaria, R., Wilcock, G., Munafò, M., Erkinjuntti, T., Karhunen, P., Pessi, T., Martiskainen, M., Love, S., and Kehoe, P. Gavin, “A Validation Study of Vascular Cognitive Impairment Genetics Meta-Analysis Findings in an Independent Collaborative Cohort.”, J Alzheimers Dis, vol. 53, no. 3, pp. 981-9, 2016.
J. A. Matías-Guiu, Curiel, R. E., Rognoni, T., Valles-Salgado, M., Fernández-Matarrubia, M., Hariramani, R., Fernández-Castro, A., Moreno-Ramos, T., Loewenstein, D. A., and Matías-Guiu, J., “Validation of the Spanish Version of the LASSI-L for Diagnosing Mild Cognitive Impairment and Alzheimer's Disease.”, J Alzheimers Dis, vol. 56, no. 2, pp. 733-742, 2017.
L. Parra-Anguita, Moreno-Cámara, S., López-Franco, M. Dolores, and Pancorbo-Hidalgo, P. L., “Validation of the Spanish Version of the Dementia Knowledge Assessment Tool 2.”, J Alzheimers Dis, vol. 65, no. 4, pp. 1175-1183, 2018.
S. Salmerón, Huedo, I., López-Utiel, M., Soler-Moratalla, I., Flores-Ruano, T., Fernández-Sánchez, M., Noguerón, A., Doody, R. S., and Abizanda, P., “Validation of the Spanish version of the Baylor Profound Mental Status Examination.”, J Alzheimers Dis, vol. 49, no. 1, pp. 73-8, 2016.
X. Feng, Zhou, A., Liu, Z., Li, F., Wei, C., Zhang, G., and Jia, J., “Validation of the Delayed Matching-to-Sample Task 48 (DMS48) in Elderly Chinese.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1611-1618, 2018.
X. Feng, Zhou, A., Liu, Z., Li, F., Wei, C., Zhang, G., and Jia, J., “Validation of the Delayed Matching-to-Sample Task 48 (DMS48) in Elderly Chinese.”, J Alzheimers Dis, vol. 61, no. 4, pp. 1611-1618, 2018.
S. Westwood, Baird, A. L., Anand, S. N., Nevado-Holgado, A. J., Kormilitzin, A., Shi, L., Hye, A., Ashton, N. J., Morgan, A. R., Bos, I., Vos, S. J. B., Baker, S., Buckley, N. J., Kate, M. Ten, Scheltens, P., Teunissen, C. E., Vandenberghe, R., Gabel, S., Meersmans, K., Engelborghs, S., De Roeck, E. E., Sleegers, K., Frisoni, G. B., Blin, O., Richardson, J. C., Bordet, R., Molinuevo, J. L., Rami, L., Wallin, A., Kettunen, P., Tsolaki, M., Verhey, F., Lleo, A., Sala, I., Popp, J., Peyratout, G., Martínez-Lage, P., Tainta, M., Johannsen, P., Freund-Levi, Y., Frölich, L., Dobricic, V., Legido-Quigley, C., Bertram, L., Barkhof, F., Zetterberg, H., B Morgan, P., Streffer, J., Visser, P. Jelle, and Lovestone, S., “Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort.”, J Alzheimers Dis, vol. 74, no. 1, pp. 213-225, 2020.
S. Westwood, Baird, A. L., Anand, S. N., Nevado-Holgado, A. J., Kormilitzin, A., Shi, L., Hye, A., Ashton, N. J., Morgan, A. R., Bos, I., Vos, S. J. B., Baker, S., Buckley, N. J., Kate, M. Ten, Scheltens, P., Teunissen, C. E., Vandenberghe, R., Gabel, S., Meersmans, K., Engelborghs, S., De Roeck, E. E., Sleegers, K., Frisoni, G. B., Blin, O., Richardson, J. C., Bordet, R., Molinuevo, J. L., Rami, L., Wallin, A., Kettunen, P., Tsolaki, M., Verhey, F., Lleo, A., Sala, I., Popp, J., Peyratout, G., Martínez-Lage, P., Tainta, M., Johannsen, P., Freund-Levi, Y., Frölich, L., Dobricic, V., Legido-Quigley, C., Bertram, L., Barkhof, F., Zetterberg, H., B Morgan, P., Streffer, J., Visser, P. Jelle, and Lovestone, S., “Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort.”, J Alzheimers Dis, vol. 74, no. 1, pp. 213-225, 2020.
S. Westwood, Baird, A. L., Anand, S. N., Nevado-Holgado, A. J., Kormilitzin, A., Shi, L., Hye, A., Ashton, N. J., Morgan, A. R., Bos, I., Vos, S. J. B., Baker, S., Buckley, N. J., Kate, M. Ten, Scheltens, P., Teunissen, C. E., Vandenberghe, R., Gabel, S., Meersmans, K., Engelborghs, S., De Roeck, E. E., Sleegers, K., Frisoni, G. B., Blin, O., Richardson, J. C., Bordet, R., Molinuevo, J. L., Rami, L., Wallin, A., Kettunen, P., Tsolaki, M., Verhey, F., Lleo, A., Sala, I., Popp, J., Peyratout, G., Martínez-Lage, P., Tainta, M., Johannsen, P., Freund-Levi, Y., Frölich, L., Dobricic, V., Legido-Quigley, C., Bertram, L., Barkhof, F., Zetterberg, H., B Morgan, P., Streffer, J., Visser, P. Jelle, and Lovestone, S., “Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort.”, J Alzheimers Dis, vol. 74, no. 1, pp. 213-225, 2020.
M. Müller, H Kuiperij, B., Versleijen, A. A. M., Chiasserini, D., Farotti, L., Baschieri, F., Parnetti, L., Struyfs, H., De Roeck, N., Luyckx, J., Engelborghs, S., Claassen, J. A., and Verbeek, M. M., “Validation of microRNAs in Cerebrospinal Fluid as Biomarkers for Different Forms of Dementia in a Multicenter Study.”, J Alzheimers Dis, vol. 52, no. 4, pp. 1321-33, 2016.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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