Vaishnavi, Sanjeev

Donanemab in Early Symptomatic Alzheimer Disease: The TRAILBLAZER-ALZ 2 Randomized Clinical Trial

Sims, J. R., Zimmer, J. A., Evans, C. D., Lu, M., Ardayfio, P., Sparks, J., Wessels, A. M., Shcherbinin, S., Wang, H., Monkul Nery, E. S., et al. (2023) · JAMA

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,932

The default mode network and self-referential processes in depression

Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., Mintun, M. A., Wang, S., Coalson, R. S., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesMind wandering and attention

Cited by 1,480

Regional aerobic glycolysis in the human brain

Vaishnavi, S. N., Vlassenko, A. G., Rundle, M. M., Snyder, A. Z., Mintun, M. A., & Raichle, M. E. (2010) · Proceedings of the National Academy of Sciences

Cancer, Hypoxia, and MetabolismNeuroscience and Neuropharmacology Research

Cited by 738

Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition

Vlassenko, A. G., Vaishnavi, S. N., Couture, L., Sacco, D., Shannon, B. J., Mach, R. H., Morris, J. C., Raichle, M. E., & Mintun, M. A. (2010) · Proceedings of the National Academy of Sciences

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 404

Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum

Johnston, J. M., Vaishnavi, S. N., Smyth, M. D., Zhang, D., He, B. J., Zempel, J. M., Shimony, J. S., Snyder, A. Z., & Raichle, M. E. (2008) · Journal of Neuroscience

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 296

Regional White Matter Hyperintensity Burden in Automated Segmentation Distinguishes Late-Life Depressed Subjects From Comparison Subjects Matched for Vascular Risk Factors

Sheline, Y. I., Price, J. L., Vaishnavi, S. N., Mintun, M. A., Barch, D. M., Epstein, A. A., Wilkins, C. H., Snyder, A. Z., Couture, L., Schechtman, K., et al. (2008) · American Journal of Psychiatry

Cerebrovascular and genetic disordersDementia and Cognitive Impairment Research

Cited by 213

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

Suspected non-AD pathology in mild cognitive impairment

Wisse, L. E. M., Butala, N., Das, S. R., Davatzikos, C., Dickerson, B. C., Vaishnavi, S. N., Yushkevich, P. A., & Wolk, D. A. (2015) · Neurobiology of Aging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 78

Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease

Phillips, J. S., Da Re, F., Dratch, L., Xie, S. X., Irwin, D. J., McMillan, C. T., Vaishnavi, S. N., Ferrarese, C., Lee, E. B., Shaw, L. M., et al. (2018) · Neurobiology of Aging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 74

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

Cognitive Profile and Markers of Alzheimer Disease–Type Pathology in Patients With Lewy Body Dementias

Howard, E., Irwin, D. J., Rascovsky, K., Nevler, N., Shellikeri, S., Tropea, T. F., Spindler, M., Deik, A., Chen-Plotkin, A., Siderowf, A., et al. (2021) · Neurology

Dementia and Cognitive Impairment ResearchParkinson's Disease Mechanisms and Treatments

Cited by 47

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