Silbert, Lisa

At the interface of sensory and motor dysfunctions and Alzheimer’s disease.

Albers, M. W., Gilmore, G. C., Kaye, J., Murphy, C., Wingfield, A., Bennett, D. A., Boxer, A. L., Buchman, A. S., Cruickshanks, K. J., Devanand, D. P., et al. (2015) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 589

Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study

Skrobot, O. A., Black, S. E., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., O'Brien, J., Pantoni, L., Pasquier, F., et al. (2018) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchNeurological Disease Mechanisms and Treatments

Cited by 431

Predicting alzheimer’s disease progression using multi-modal deep learning approach

Lee, G., Nho, K., Kang, B., Sohn, K.-A., Kim, D., Initiative, F. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 406

A Randomized Placebo-Controlled Pilot Trial of Omega-3 Fatty Acids and Alpha Lipoic Acid in Alzheimer's Disease

Shinto, L., Quinn, J., Montine, T., Dodge, H. H., Woodward, W., Baldauf-Wagner, S., Waichunas, D., Bumgarner, L., Bourdette, D., Silbert, L., et al. (2013) · Journal of Alzheimer's Disease

Fatty Acid Research and HealthAlzheimer's disease research and treatments

Cited by 288

The Vascular Impairment of Cognition Classification Consensus Study

Skrobot, O. A., O'Brien, J., Black, S., Chen, C., DeCarli, C., Erkinjuntti, T., Ford, G. A., Kalaria, R. N., Pantoni, L., Pasquier, F., et al. (2017) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchNeurological Disease Mechanisms and Treatments

Cited by 242

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline

Risacher, S. L., Anderson, W. H., Charil, A., Castelluccio, P. F., Shcherbinin, S., Saykin, A. J., Schwarz, A. J., Initiative, F. T. A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2017) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 163

Trajectories of brain loss in aging and the development of cognitive impairment

Carlson, N. E., Moore, M. M., Dame, A., Howieson, D., Silbert, L. C., Quinn, J. F., & Kaye, J. A. (2008) · Neurology

Dementia and Cognitive Impairment ResearchCerebrospinal fluid and hydrocephalus

Cited by 144

Cognitive impairment risk: White matter hyperintensity progression matters

Silbert, L. C., Howieson, D. B., Dodge, H., & Kaye, J. A. (2009) · Neurology

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

Cited by 123

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

Cited by 96

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 71

The collaborative aging research using technology initiative: an open, sharable, technology-agnostic platform for the research community

Beattie, Z., Miller, L. M., Almirola, C., Au-Yeung, W.-T. M., Bernard, H., Cosgrove, K. E., Dodge, H. H., Gamboa, C. J., Golonka, O., Gothard, S., et al. (2020) · Digital Biomarkers

Technology Use by Older AdultsContext-Aware Activity Recognition Systems

Cited by 71

Internet-Based Conversational Engagement Randomized Controlled Clinical Trial (I-CONECT) Among Socially Isolated Adults 75+ Years Old With Normal Cognition or Mild Cognitive Impairment: Topline Results

Dodge, H. H., Yu, K., Wu, C.-Y., Pruitt, P. J., Asgari, M., Kaye, J. A., Hampstead, B. M., Struble, L., Potempa, K., Lichtenberg, P., et al. (2024) · The Gerontologist

Dementia and Cognitive Impairment ResearchAging and Gerontology Research

Cited by 56

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 55

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

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

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28

Unobtrusive Sensing Technology Detects Ecologically Valid Spatiotemporal Patterns of Daily Routines Distinctive to Persons With Mild Cognitive Impairment

Wu, C.-Y., Dodge, H. H., Gothard, S., Mattek, N., Wright, K., Barnes, L. L., Silbert, L. C., Lim, M. M., Kaye, J. A., & Beattie, Z. (2022) · The Journals of Gerontology: Series A

Dementia and Cognitive Impairment ResearchContext-Aware Activity Recognition Systems

Cited by 20

In-Home Mobility Frequency and Stability in Older Adults Living Alone With or Without MCI: Introduction of New Metrics

Wu, C.-Y., Dodge, H. H., Reynolds, C., Barnes, L. L., Silbert, L. C., Lim, M. M., Mattek, N., Gothard, S., Kaye, J. A., & Beattie, Z. (2021) · Frontiers in Digital Health

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 19

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

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

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 18

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

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15