Publications using UDS

With each data file request NACC records a "proposal", including a brief description of the project being undertaken. These proposals can lead to one or more publications. All resulting publications can be found at the link below.

The Proposals page is currently being reimagined, and is currently under development.

NACC Keystone Papers

Below are a collection of Keystone papers utilizing NACC Data
    • Weintraub, S., Besser, L., Dodge, H. H., Teylan, M., Ferris, S., Goldstein, F. C., Giordani, B., Kramer, J., Loewenstein, D., Marson, D., Mungas, D., Salmon, D., Welsh-Bohmer, K., Zhou, X.-H., Shirk, S. D., Atri, A., Kukull, W. A., Phelps, C., & Morris, J. C. (2018). Version 3 of the Alzheimer Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Disease and Associated Disorders, 32(1), 10–17.

    • Besser, L. M., Kukull, W. A., Teylan, M. A., Bigio, E. H., Cairns, N. J., Kofler, J. K., Montine, T. J., Schneider, J. A., & Nelson, P. T. (2018). The Revised National Alzheimer’s Coordinating Center’s Neuropathology Form-Available Data and New Analyses. Journal of Neuropathology and Experimental Neurology, 77(8), 717–726.

    • Besser, L., Kukull, W., Knopman, D. S., Chui, H., Galasko, D., Weintraub, S., Jicha, G., Carlsson, C., Burns, J., Quinn, J., Sweet, R. A., Rascovsky, K., Teylan, M., Beekly, D., Thomas, G., Bollenbeck, M., Monsell, S., Mock, C., Zhou, X. H., … Morris, J. C. (2018). Version 3 of the National Alzheimer’s Coordinating Center’s Uniform Data Set. Alzheimer Disease and Associated Disorders, 32(4), 351–358.

    • Lennon, J. C., Aita, S. L., Bene, V. A. D., Rhoads, T., Resch, Z. J., Eloi, J. M., & Walker, K. A. (2022). Black and White individuals differ in dementia prevalence, risk factors, and symptomatic presentation. Alzheimer’s & Dementia, 18(8), 1461–1471.

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    • Sachs, B. C., Steenland, K., Zhao, L., Hughes, T. M., Weintraub, S., Dodge, H. H., Barnes, L. L., Craft, S., Parker, M. L., & Goldstein, F. C. (2020). Expanded Demographic Norms for Version 3 of the Alzheimer Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set. Alzheimer Disease and Associated Disorders, 34(3), 191–19.

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    • Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., Coyle-Gilchrist, I. T. S., Chui, H. C., Fardo, D. W., Flanagan, M. E., Halliday, G., Hokkanen, S. R. K., Hunter, S., Jicha, G. A., Katsumata, Y., … Schneider, J. A. (2019). Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain (London, England : 1878), 142(6), 1503–1527.

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    • Crary, J. F., Trojanowski, J. Q., Schneider, J. A., Abisambra, J. F., Abner, E. L., Alafuzoff, I., Arnold, S. E., Attems, J., Beach, T. G., Bigio, E. H., Cairns, N. J., Dickson, D. W., Gearing, M., Grinberg, L. T., Hof, P. R., Hyman, B. T., Jellinger, K., Jicha, G. A., Kovacs, G. G., … Nelson, P. T. (2014). Primary age-related tauopathy (PART): a common pathology associated with human aging. Acta Neuropathologica, 128(6), 755–766.

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    • Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., Mirra, S. S., Nelson, P. T., Schneider, J. A., Thal, D. R., Thies, B., Trojanowski, J. Q., Vinters, H. V., & Montine, T. J. (2012). National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimer’s & Dementia, 8(1), 1–13.

    • Qiu, S., Miller, M. I., Joshi, P. S., Lee, J. C., Xue, C., Ni, Y., Wang, Y., De Anda-Duran, I., Hwang, P. H., Cramer, J. A., Dwyer, B. C., Hao, H., Kaku, M. C., Kedar, S., Lee, P. H., Mian, A. Z., Murman, D. L., O'Shea, S., Paul, A. B., Saint-Hilaire, M. H., … Kolachalama, V. B. (2022). Multimodal deep learning for Alzheimer's disease dementia assessment. Nature communications, 13(1), 3404.

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    • Liu, S., Masurkar, A. V., Rusinek, H., Chen, J., Zhang, B., Zhu, W., Fernandez-Granda, C., & Razavian, N. (2022). Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs. Scientific Reports, 12(1), 17106–17106.

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    • Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Anade, V., Holmans, P. A., Boland, A., Damotte, V., van der Lee, S. J., Costa, M. R., Kuulasmaa, T., Yang, Q., de Rojas, I., Bis, J. C., … Ahmad, S. (2022). New insights into the genetic etiology of Alzheimer's disease and related dementias. Nature genetics, 54(4), 412–436.

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    • Kunkle, B., Grenier-Boley, B., Sims, R., Bis, J., Damotte, V., Naj, A., van der Lee, S., Ahmad, S., Adams, H., Vojinovic, D., Comic, H., Roshchupkin, G., Rivadeneira, F., Uitterlinden, A., Amin, N., Ikram, A., Duijn, C., Lambert, J., & Pericak-Vance, M. (2019). Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates A beta, tau, immunity and lipid processing. Nature Genetics, 51(3), 414–430.

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