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Initiative, for the Alzheimer's Disease Neuroimaging

Mayo Clinic

No affiliation available

Citations 1

Contributions of the Alzheimer's Disease Neuroimaging Initiative to advancing AD research: a targeted review of recent publications
Miller, Melanie J., Kanoria, Shaveta , Aisen, Paul S., Beckett, Laurel A., Green, Robert C., Harvey, Danielle J., Jack, Clifford R., Jagust, William, Lee, E, Nho, Kwangsik, Nosheny, Rachel, Okonkwo, Ozioma C., Perrin, Richard J., Petersen, Ronald C., Saykin, Andrew J., Shaw, Leslie M., Toga, Arthur W., Tosun, Duygu, Landau, Susan M, Weiner, Michael W. , Initiative, for the Alzheimer's Disease Neuroimaging, Harvey, Danielle , Weiner, Michael W , Harvey, Danielle J , Veitch, Dallas P. , Miller, Melanie J. , Aisen, Paul , Beckett, Laurel , Green, Robert C. , Jack, Clifford R. , Jagust, William J. , Nho, Kwangsik T. , Nosheny, Rachel, Perrin, Richard J. , Petersen, Ronald C. , Mindt, Mónica Rivera , Saykin, Andrew J. , Shaw, Leslie M. , Toga, Arthur W. , Landau, Susan , Initiative, for the Alzheimer’s Disease Neuroimaging

Alzheimer's & Dementia | June 18, 2026 | Volume: 22 | Issue: 6 | Pages: No page available

10.1002/alz.71566 Get It

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently celebrated its 20th anniversary, reflecting two decades of major contributions to Alzheimer's research through open data sharing and longitudinal multimodal assessments. This review synthesizes 122 high‐impact studies using ADNI data or biospecimens from 2023 to mid‐2025 to clarify mechanisms of Alzheimer's disease (AD) progression. Studies describe impairment of glymphatic clearance and the impact of cerebral small vessel disease, trajectories of amyloid beta and tau deposition, inflammation, metabolic disturbances, synaptic dysfunction, and neurodegeneration, leading to cognitive impairment and neuropsychiatric symptoms. Multifactorial contributions from genetic and epigenetic influences, co‐pathologies and comorbidities, and mechanisms of resilience modulate disease progression. Finally, heterogeneity of clinical presentation and disease course is described in the context of multiple contributing factors, highlighting the complexity of AD. By integrating imaging, fluid biomarkers, genetics, and clinical measures, ADNI provides a comprehensive research dataset for unraveling mechanisms underlying AD progression.