Geldmacher, David

Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2016) · Nature Communications

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 1,202

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with subtype and Stage inference

Young, A. L., Marinescu, R. V., Oxtoby, N. P., Bocchetta, M., Yong, K., Firth, N. C., Cash, D. M., Thomas, D. L., Dick, K. M., Cardoso, J., et al. (2018) · Nature Communications

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 596

Ectopic Cell Cycle Proteins Predict the Sites of Neuronal Cell Death in Alzheimer’s Disease Brain

Busser, J., Geldmacher, D. S., & Herrup, K. (1998) · The Journal of Neuroscience

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 543

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

Efficacy and Tolerability of Donepezil in Vascular Dementia: Positive Results of a 24-Week, Multicenter, International, Randomized, Placebo-Controlled Clinical Trial

Black, S., Román, G. C., Geldmacher, D. S., Salloway, S., Hecker, J., Burns, A., Perdomo, C., Kumar, D., & Pratt, R. (2003) · Stroke

Dementia and Cognitive Impairment ResearchCholinesterase and Neurodegenerative Diseases

Cited by 386

Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer’s disease (MCI and dementia) in primary care: a review and synthesis

Liss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 312

A Randomized Pilot Clinical Trial of the Safety of Pioglitazone in Treatment of Patients With Alzheimer Disease

Geldmacher, D. S., Fritsch, T., McClendon, M. J., & Landreth, G. (2011) · Archives of Neurology

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 221

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

Differential diagnosis of Alzheimer's disease

Geldmacher, D. S., & Whitehouse, P. J. (1997) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 122

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

Cited by 120

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

Cited by 109

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

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

Cited by 57

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

Pre-Diagnosis Excess Acute Care Costs in Alzheimer’s Patients among a US Medicaid Population

Geldmacher, D. S., Kirson, N. Y., Birnbaum, H. G., Eapen, S., Kantor, E., Cummings, A. K., & Joish, V. N. (2013) · Applied Health Economics and Health Policy

Dementia and Cognitive Impairment ResearchHealthcare Policy and Management

Cited by 53

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

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