Asthana, Sanjay

Amyloid-β 11 C-PiB-PET imaging results from 2 randomized bapineuzumab phase 3 AD trials

Liu, E., Schmidt, M. E., Margolin, R., Sperling, R., Koeppe, R., Mason, N. S., Klunk, W. E., Mathis, C. A., Salloway, S., Fox, N. C., et al. (2015) · Neurology

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Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression

Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C., Wall, A. E., et al. (2015) · Neurology

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Low cerebral blood flow is associated with lower memory function in metabolic syndrome

Birdsill, A. C., Carlsson, C. M., Willette, A. A., Okonkwo, O. C., Johnson, S. C., Xu, G., Oh, J. M., Gallagher, C. L., Koscik, R. L., Jonaitis, E. M., et al. (2013) · Obesity

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Associations between white matter microstructure and amyloid burden in preclinical Alzheimer’s disease: a multimodal imaging investigation.

Racine, A. M., Adluru, N., Alexander, A. L., Christian, B. T., Okonkwo, O. C., Oh, J., Cleary, C. A., Birdsill, A., Hillmer, A. T., Murali, D., et al. (2014) · NeuroImage: Clinical

Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and Applications

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APOE genotype and early β-amyloid accumulation in older adults without dementia

Lim, Y. Y., Mormino, E. C., Initiative, F. T. A. D. N., Initiative, A. D. N., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., et al. (2017) · Neurology

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Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Zhou, X., Chen, Y., Mok, K. Y., Kwok, T. C. Y., Mok, V. C. T., Guo, Q., Ip, F. C., Chen, Y., Mullapudi, N., Initiative, A. D. N., et al. (2019) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle‐age adults at risk of AD

Schultz, S. A., Oh, J. M., Koscik, R. L., Dowling, N. M., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., LaRue, A., Hermann, B. P., Rowley, H. A., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

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The effect of TOMM40 poly‐T length on gray matter volume and cognition in middle‐aged persons with APOEɛ 3/ɛ 3 genotype

Johnson, S. C., La Rue, A., Hermann, B. P., Xu, G., Koscik, R. L., Jonaitis, E. M., Bendlin, B. B., Hogan, K. J., Roses, A. D., Saunders, A. M., et al. (2011) · Alzheimer's & Dementia

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

Franzmeier, N., Rubinski, A., Neitzel, J., Ewers, M., (ADNI), T. A. D. N. I., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2019) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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ABCA7 frameshift deletion associated with Alzheimer disease in African Americans

Cukier, H. N., Kunkle, B. W., Vardarajan, B. N., Rolati, S., Hamilton-Nelson, K. L., Kohli, M. A., Whitehead, P. L., Dombroski, B. A., Van Booven, D., Lang, R., et al. (2016) · Neurology Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Zhou, X., Chen, Y., Mok, K. Y., Zhao, Q., Chen, K., Chen, Y., Hardy, J., Li, Y., Fu, A. K. Y., Guo, Q., et al. (2018) · Proceedings of the National Academy of Sciences

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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CSF T-Tau/Aβ42 Predicts White Matter Microstructure in Healthy Adults at Risk for Alzheimer’s Disease

Bendlin, B. B., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Willette, A. A., Okonkwo, O. C., Sodhi, A., Ries, M. L., Birdsill, A. C., et al. (2012) · PLoS ONE

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Age-dependent differences in brain tissue microstructure assessed with neurite orientation dispersion and density imaging

Merluzzi, A. P., Dean, D. C., Adluru, N., Suryawanshi, G. S., Okonkwo, O. C., Oh, J. M., Hermann, B. P., Sager, M. A., Asthana, S., Zhang, H., et al. (2016) · Neurobiology of Aging

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DNA Hypomethylation in Blood Links B3GALT4 and ZADH2 to Alzheimer’s Disease

Madrid, A., Hogan, K. J., Papale, L. A., Clark, L. R., Asthana, S., Johnson, S. C., & Alisch, R. S. (2018) · Journal of Alzheimer’s Disease

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Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study

Chen, S.-D., Lu, J.-Y., Li, H.-Q., Yang, Y.-X., Jiang, J.-H., Cui, M., Zuo, C.-T., Tan, L., Dong, Q., Yu, J.-T., et al. (2021) · Translational Psychiatry

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KLOTHO heterozygosity attenuates APOE4 -related amyloid burden in preclinical AD

Erickson, C. M., Schultz, S. A., Oh, J. M., Darst, B. F., Ma, Y., Norton, D., Betthauser, T., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., et al. (2019) · Neurology

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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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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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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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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Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Kunkle, B., Grenier-Boley, B., Sims, R., Bis, J., Naj, A., Boland, A., Vronskaya, M., van der Lee, S., Amlie-Wolf, A., Bellenguez, C., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory)

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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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Incidental Findings from 16,400 Brain MRI Examinations of Research Volunteers

Rowley, P. A., Paukner, M. J., Eisenmenger, L. B., Field, A. S., Davidson, R. J., Johnson, S. C., Asthana, S., Chin, N. A., Prabhakaran, V., Bendlin, B. B., et al. (2023) · American Journal of Neuroradiology

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Amyloid-β predominant Alzheimer’s disease neuropathologic change

Kovacs, G. G., Katsumata, Y., Wu, X., Aung, K. Z., Fardo, D. W., Forrest, S. L., Alzheimer's Disease Genetics Consortium, Bowen, J. D., Crane, P. K., Jarvik, G. P., et al. (2025) · Brain

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Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

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