Sperling, Reisa A.

Apathy is associated with lower inferior temporal cortical thickness in mild cognitive impairment and normal elderly individuals

Guercio, B. J., Donovan, N. J., Ward, A., Schultz, A., Lorius, N., Amariglio, R. E., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Marshall, G. A. (2015) · The Journal of Neuropsychiatry and Clinical Neurosciences

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Plasma N-terminal tau fragment levels predict future cognitive decline and neurodegeneration in healthy elderly individuals

Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications

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Longitudinal amyloid and tau accumulation in autosomal dominant Alzheimer’s disease: findings from the Colombia-Boston (COLBOS) biomarker study

Sanchez, J. S., Hanseeuw, B. J., Lopera, F., Sperling, R. A., Baena, A., Bocanegra, Y., Aguillon, D., Guzmán-Vélez, E., Pardilla-Delgado, E., Ramirez-Gomez, L., et al. (2021) · Alzheimer's Research & Therapy

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Biological and Cognitive Markers of Presenilin1 E280A Autosomal Dominant Alzheimer's Disease: A Comprehensive Review of the Colombian Kindred

Fuller, J. T., Cronin-Golomb, A., Gatchel, J. R., Norton, D. J., Guzmán-Vélez, E., Jacobs, H. I. L., Hanseeuw, B., Pardilla-Delgado, E., Artola, A., Baena, A., et al. (2019) · The Journal of Prevention of Alzheimer's Disease

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KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease

Neitzel, J., Franzmeier, N., Rubinski, A., Dichgans, M., Brendel, M., (ADNI), A. D. N. I., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., et al. (2021) · Nature Communications

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Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer’s Disease: Results from the DIAN Study Group

Su, Y., Blazey, T. M., Owen, C. J., Christensen, J. J., Friedrichsen, K., Joseph-Mathurin, N., Wang, Q., Hornbeck, R. C., Ances, B. M., Snyder, A. Z., et al. (2016) · PLOS ONE

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Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Huang, M., Yang, W., Feng, Q., Chen, W., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2017) · Scientific Reports

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Plasma p‐tau217 predicts in vivo brain pathology and cognition in autosomal dominant Alzheimer's disease

Aguillon, D., Langella, S., Chen, Y., Sanchez, J. S., Su, Y., Vila‐Castelar, C., Vasquez, D., Zetterberg, H., Hansson, O., Dage, J. L., et al. (2023) · Alzheimer's & Dementia

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Tackling a major deficiency of diversity in Alzheimer’s disease therapeutic trials: an CTAD task force report

Raman, R., Aisen, P., Carillo, M. C., Detke, M., Grill, J. D., Okonkwo, O. C., Rivera-Mindt, M., Sabbagh, M., Vellas, B., Weiner, M., et al. (2022) · The Journal of Prevention of Alzheimer's Disease

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Cued memory decline in biomarker-defined preclinical Alzheimer disease

Papp, K. V., Rentz, D. M., Mormino, E. C., Schultz, A. P., Amariglio, R. E., Quiroz, Y., Johnson, K. A., & Sperling, R. A. (2017) · Neurology

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Network Tau spreading is vulnerable to the expression gradients of APOE and glutamatergic-related genes

Montal, V., Diez, I., Kim, C.-M., Orwig, W., Bueichekú, E., Gutiérrez-Zúñiga, R., Bejanin, A., Pegueroles, J., Dols-Icardo, O., Vannini, P., et al. (2022) · Science Translational Medicine

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Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

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Genetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology

Yang, H.-S., White, C. C., Klein, H.-U., Yu, L., Gaiteri, C., Ma, Y., Felsky, D., Mostafavi, S., Petyuk, V. A., Sperling, R. A., et al. (2020) · Neuron

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Predicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls

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Charting a path toward combination therapy for Alzheimer’s disease

Stephenson, D., Perry, D., Bens, C., Bain, L. J., Berry, D., Krams, M., Sperling, R., Dilts, D., Luthman, J., Hanna, D., et al. (2015) · Expert Review of Neurotherapeutics

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Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

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Lewy body dementia: overcoming barriers and identifying solutions

Agarwal, K., Backler, W., Bayram, E., Bloom, L., Boeve, B. F., Cha, J., Denslow, M., Ferman, T. J., Galasko, D., Galvin, J. E., et al. (2024) · Alzheimer's & Dementia

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Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

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E.U./U.S. CTAD TASK FORCE ON ALZHEIMER\'S TRIAL POPULATIONS

Vellas, B., Sampaio, C., Bateman, R., Boxer, A., Carrillo, M. C., Cummings, J., Dubois, B., Hampel, H., Katz, R., Khachaturian, Z., et al. (2014) · The Journal of Prevention of Alzheimer's Disease

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