Michael Donohue, PhD

Professor of Neurology

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Overview

Michael Donohue, PhD is an Associate Professor of Neurology, Associate Director of Biostatistics at the Alzheimer’s Therapeutic Research Institute (ATRI), and Co-Lead of the Biostatistics Unit of the Alzheimer’s Clinical Trial Consortium (ACTC).

Since obtaining his PhD in Mathematics in 2005, Dr. Donohue has worked on Alzheimer’s clinical trials and observational studies, such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). His primary area of interest is applying novel statistical methods to data from ADNI to better understand the multivariate course of markers of Alzheimer’s progression, and design innovative clinical trials to prevent or slow the progression of disease. He has studied the risk of cognitive decline associated with elevated brain amyloid in cognitively normal individuals; and helped design the first intervention in asymptomatic Alzheimer’s, the Anti-Amyloid Treatment for Asymptomatic Alzheimer’s (the A4 Study; in collaboration with Eli Lilly), and its primary outcome measure, the Preclinical Alzheimer Cognitive Composite. He has been awarded grants to develop innovative statistical approaches for Alzheimer’s from the National Institute on Aging; the Alzheimer’s Association, Michael J. Fox Foundation, and W. Garfield Weston Foundation; and the Clinical and Translation Research Institute of University of California, San Diego

Education and Training

  • University of California San Diego, La Jolla, CA — PhD — 05/2005 — Mathematics

Research Funding

  • Building predictive algorithms to identify resilience and resistance to Alzheimer's disease
    NIH · R01AG079142 · Jun 1, 2023 – Feb 29, 2028 · Role: Co-Principal Investigator
  • Estimating Long-Term Disease Trajectories from Short-Term Data
    NIH · R01AG049750 · Feb 1, 2016 – Jan 31, 2021 · Role: Principal Investigator

Publications

  • Serratus anterior plane versus paravertebral nerve blocks for postoperative analgesia after non-mastectomy breast surgery: a randomized controlled non-inferiority trial. Reg Anesth Pain Med. 2021 09; 46(9):773-778.. View in PubMed
  • Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study. Alzheimers Dement (N Y). 2021; 7(1):e12135.. View in PubMed
  • Findings of Efficacy, Safety, and Biomarker Outcomes of Atabecestat in Preclinical Alzheimer Disease: A Truncated Randomized Phase 2b/3 Clinical Trial. JAMA Neurol. 2021 03 01; 78(3):293-301.. View in PubMed
  • Item-Level Investigation of Participant and Study Partner Report on the Cognitive Function Index from the A4 Study Screening Data. J Prev Alzheimers Dis. 2021; 8(3):257-262.. View in PubMed
  • The Computerized Cognitive Composite (C3) in an Alzheimer’s Disease Secondary Prevention Trial. J Prev Alzheimers Dis. 2021; 8(1):59-67.. View in PubMed
  • Time between milestone events in the Alzheimer’s disease amyloid cascade. Neuroimage. 2021 02 15; 227:117676.. View in PubMed
  • Short-term Psychological Outcomes of Disclosing Amyloid Imaging Results to Research Participants Who Do Not Have Cognitive Impairment. JAMA Neurol. 2020 12 01; 77(12):1504-1513.. View in PubMed
  • Instrumental activities of daily living, amyloid, and cognition in cognitively normal older adults screening for the A4 Study. Alzheimers Dement (Amst). 2020; 12(1):e12118.. View in PubMed
  • Safety, Efficacy, and Feasibility of Intranasal Insulin for the Treatment of Mild Cognitive Impairment and Alzheimer Disease Dementia: A Randomized Clinical Trial. JAMA Neurol. 2020 09 01; 77(9):1099-1109.. View in PubMed
  • Association of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals. JAMA Neurol. 2020 06 01; 77(6):735-745.. View in PubMed