Cure Alzheimer's Fund Cure Alzheimer's Fund

Richard Lipton, M.D.

Professor, The Saul R. Korey Department of Neurology;  Professor, Department of Psychiatry and Behavioral Sciences;  Professor, Department of Epidemiology & Population Health (Epidemiology); Edwin S. Lowe Chair in Neurology;  Vice Chair, The Saul R. Korey Department of Neurology; Director, Montefiore Headache Center, Albert Einstein College of Medicine

Richard B. Lipton, M.D., is the Edwin S. Lowe Professor and Vice Chair of Neurology, Professor of Epidemiology and Population Health and Professor of Psychiatry and Behavioral Sciences at the Albert Einstein College of Medicine. He is a diplomate of the American Board of Psychiatry and Neurology and a fellow of the American Academy of Neurology.

He is the Principal Investigator of the Einstein Aging Study, an NIH funded Program Project, and several R01s.  Dr. Lipton’s recent studies examine cognitive aging across the lifespan with an emphasis on the effects of pain and stress on brain function. His headache research focuses on the epidemiology of migraine and on clinical trials.  His epidemiologic studies have evaluated trigger factors for headache attacks and risk factors for headache progression.

Dr. Lipton has published more than 900 articles in indexed journals and serves on the editorial boards of several journals, including Neurology. He is a five-time winner of the H.G. Wolff Award for excellence in headache research from the American Headache Society and a two-time winner of the Enrico Greppi award from the European Headache Federation.  Dr. Lipton is co-Director of the Montefiore Headache Center, an interdisciplinary subspecialty center focused on headache, patient care, research and education. He holds leadership positions in several professional societies. He is a Past-President of the American Headache Society (AHS).

Dr. Lipton earned his medical degree at the University of Chicago Pritzker School of Medicine. After a medical internship at Northwestern Memorial Hospital, he completed his neurology residency and clinical neurophysiology fellowship at the Albert Einstein College of Medicine. He also completed a fellowship in neuroepidemiology at Columbia University.

Related Research:

Application of Machine Learning Methods in Alzheimer’s Disease Clinical Trials Ali Ezzati Richard Lipton 2020-02-18

Funded Research

These projects were made possible from Cure Alzheimer's Fund support.

Project Description Researchers Funding
Application of Machine Learning Methods in Alzheimer’s Disease Clinical Trials 2020, 2022

$200,000

Selected Publications

These published papers resulted from Cure Alzheimer’s Fund support.

Rubin-Norowitz, M., Lipton, R. B., Petersen, K., Ezzati, A., & Alzheimer’s Disease Neuroimaging Initiative Association of Depressive Symptoms and Cognition in Older Adults Without Dementia Across Different Biomarker Profiles, Journal of Alzheimer's disease, June 28, 2022, Read More

Nallapu, B. T., Petersen, K. K., Lipton, R. B., Grober, E., Sperling, R. A., & Ezzati, A. Association of Alcohol Consumption with Cognition in Older Population: The A4 Study, Journal of Alzheimer's Disease, June 13, 2023, Read More

Lam, S., Lipton, R. B., Harvey, D. J., Zammit, A. R., Ezzati, A., & Alzheimer's Disease Neuroimaging Initiative White matter hyperintensities and cognition across different Alzheimer’s biomarker profiles., Journal of the American Geriatrics Society, April 23, 2021, Read More

Grober, E., Lipton, R. B., Sperling, R. A., Papp, K. V., Johnson, K. A., Rentz, D. M., Veroff, A. E., Aisen, P. S., & Ezzati, A. Associations of Stages of Objective Memory Impairment With Amyloid PET and Structural MRI The A4 Study, Neurology, March 29, 2022, Read More

Petersen, K. K., Lipton, R. B., Grober, E., Davatzikos, C., Sperling, R. A., & Ezzati, A. Predicting Amyloid Positivity in Cognitively Unimpaired Older Adults A Machine Learning Approach Using A4 Data, Neurology, June 14, 2022, Read More

Grober, E., Petersen, K. K., Lipton, R. B., Hassenstab, J., Morris, J. C., Gordon, B. A., & Ezzati, A. Association of Stages of Objective Memory Impairment With Incident Symptomatic Cognitive Impairment in Cognitively Normal Individuals, Neurology, April 19, 2023, Read More

Ezzati, A., Abdulkadir, A., Jack, C. R., Jr, Thompson, P. M., Harvey, D. J., Truelove-Hill, M., Sreepada, L. P., Davatzikos, C., Alzheimer's Disease Neuroimaging Initiative, & Lipton, R. B. Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer’s disease dementia, Alzheimer's & Dementia, November 17, 2021, Read More

Petersen, K. K., Grober, E., Lipton, R. B., Sperling, R. A., Buckley, R. F., Aisen, P. S., & Ezzati, A. Impact of sex and APOE ε4 on the association of cognitionand hippocampal volume in clinically normal, amyloid positive adults, Alzheimer's & Dementia, February 9, 2022, Read More

Ezzati, A., Davatzikos, C., Wolk, D. A., Hall, C. B., Habeck, C., & Lipton, R. B. Application of predictive models in boosting power of Alzheimer’s disease clinical trials: A post hoc analysis of phase 3 solanezumab trials, Alzheimer's & Dementia, March 14, 2022, Read More

Wang, C., Nester, C. O., Chang, K., Rabin, L. A., Ezzati, A., Lipton, R. B., & Katz, M. J. Tracking cognition with the T-MoCA in a racially/ethnically diverse older adult cohor, Alzheimer's & Dementia, March 8, 2023, Read More

Lou, C., Habes, M., Illenberger, N. A., Ezzati, A., Lipton, R. B., Shaw, P. A., Stephens-Shields, A. J., Akbari, H., Doshi, J., Davatzikos, C., & Shinohara, R. T. Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging, Brain Communications, November 3, 2021, Read More

Petersen, K. K., Ezzati, A., Lipton, R. B., Gordon, B. A., Hassenstab, J., Morris, J. C., & Grober, E. Associations of Stages of Objective Memory Impairment with Cerebrospinal Fluid and Neuroimaging Biomarkers of Alzheimer’s Disease, Journal of Prevention of Alzheimer's Disease, November 3, 2022, Read More

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