Ali Ezzati
About
Ali Ezzati, M.D., is a neurologist specializing in cognitive aging, migraine, and early detection of neurodegeneration. He is an Associate Clinical Professor of Neurology at the University of California, Irvine School of Medicine, and practices in Orange, California. He holds medical licenses in California and New York.
Dr. Ezzati has contributed to more than 117 peer-reviewed publications, with work appearing in journals such as Headache, Alzheimer's and Dementia, and Clinical Neurology and Neurosurgery. His research spans migraine epidemiology and digital health monitoring, as well as plasma biomarker-based approaches to predicting cognitive decline in older adults. Notable projects include the MIND Study, a smartphone-based migraine cohort examining cognition across migraine phases, and contributions to the A4 trial, which investigated plasma markers such as p-tau217 and glial fibrillary acidic protein as predictors of clinical progression in cognitively unimpaired individuals. Additional work has examined hippocampal asymmetry as a marker of memory decline risk and the relationship between sleep and migraine burden in U.S. populations.
Credentials
Publications
- The MIND Study: Design, Feasibility, and Baseline Characteristics of a Smartphone-Based Migraine Cohort.
- Comparative analysis of real-world acute prescription migraine therapy outcomes: Insights from the HeAD-US study.
- Digital Assessment of Objective and Patient-Reported Cognition Across Migraine Phases: Results from the MIND Cohort.
- Incremental value of plasma biomarkers in predicting clinical decline among cognitively unimpaired older adults: Results from the A4 trial.
- Hippocampal Asymmetry Captures Non-Amyloid-Related Risk of Memory Decline and Clinical Progression.
- Scalable Markers for Early Cognitive Decline: Plasma p-tau217, Subjective Cognitive Concerns, and Digital Testing: Results from the A4/LEARN studies.
- The association between sleep duration with migraine frequency, disability and perceived stress in the Headache Assessment via a Digital platform in United States (HeAD-US) Study.
- Prognostic value of plasma glial fibrillary acidic protein in cognitively unimpaired older adults: Results from the A4 study.
- Discovering subtypes with imaging signatures in the Motoric Cognitive Risk Syndrome Consortium using weakly supervised clustering.
- Impact of anxiety and depression on migraine-related disability: Results from the Headache Assessment via Digital Platform in the United States (HeAD-US) study.
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