Nosheny, Rachel

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Chronic unpredictable stress promotes neuronal apoptosis in the cerebral cortex

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Increasing participant diversity in AD research: plans for digital screening, blood testing, and a community-engaged approach in the Alzheimer’s Disease Neuroimaging Initiative 4

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Increased efficiency of the GABAA and GABAB receptor-mediated neurotransmission in the Ts65Dn mouse model of Down syndrome

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The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022

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Divergent Cortical Tau Positron Emission Tomography Patterns Among Patients With Preclinical Alzheimer 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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Emerging β-amyloid pathology and accelerated cortical atrophy

Mattsson, N., Insel, P. S., Nosheny, R., Tosun, D., Trojanowski, J. Q., Shaw, L. M., Jack, C. R., Donohue, M. C., & Weiner, M. W. (2014) · JAMA Neurology

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White matter abnormalities and cognition in aging and Alzheimer disease

Peter, C., Sathe, A., Shashikumar, N., Pechman, K. R., Workmeister, A. W., Jackson, T. B., Huo, Y., Mukherjee, S., Mez, J., Dumitrescu, L. C., et al. (2025) · JAMA Neurology

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Assessing risk for preclinical β‐amyloid pathology with APOE , cognitive, and demographic information

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Screening and enrollment of underrepresented ethnocultural and educational populations in the Alzheimer's Disease Neuroimaging Initiative (ADNI)

Ashford, M. T., Raman, R., Miller, G., Donohue, M. C., Okonkwo, O. C., Mindt, M. R., Nosheny, R. L., Coker, G. A., Petersen, R. C., Aisen, P. S., et al. (2022) · Alzheimer's & Dementia

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Towards cascading genetic risk in Alzheimer’s disease

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Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Yin, C., Imms, P., Chowdhury, N. F., Chaudhari, N. N., Ping, H., Wang, H., Bogdan, P., Irimia, A., Initiative, T. A. D. N., Weiner, M., et al. (2025) · Proceedings of the National Academy of Sciences

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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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