Michael Donohue, PhD

Professor of Neurology

Image of Michael Donohue, PhD
Is this your profile? Click to edit

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

  • Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain. Proc Natl Acad Sci U S A. 2025 Feb 25; 122(8):e2411492122.. View in PubMed
  • Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts. Geroscience. 2025 08; 47(4):5619-5634.. View in PubMed
  • Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease. Brain Inform. 2025 Jan 27; 12(1):3.. View in PubMed
  • Artificial intelligence-enabled safety monitoring in Alzheimer’s disease clinical trials. J Prev Alzheimers Dis. 2025 01; 12(1):100002.. View in PubMed
  • Ultrasound-guided Percutaneous Cryoneurolysis for the Treatment of Pain after Traumatic Rib Fracture: A Randomized, Active-controlled, Participant- and Observer-masked Study. Anesthesiology. 2025 Mar 01; 142(3):532-545.. View in PubMed
  • Paravertebral versus Pectoralis-II (Interpectoral and Pectoserratus) Nerve Blocks for Postoperative Analgesia after Nonmastectomy Breast Surgery: A Randomized, Controlled, Observer-masked Noninferiority Trial. Anesthesiology. 2024 Dec 01; 141(6):1039-1050.. View in PubMed
  • The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI). Alzheimers Dement. 2025 01; 21(1):e14383.. View in PubMed
  • Extremity War Injury Symposium 2024: Sports Medicine and Medical Readiness Section Summary. Orthop J Sports Med. 2024 Nov; 12(11):23259671241293206.. View in PubMed
  • Rethinking the residual approach: Leveraging machine learning to operationalize cognitive resilience in Alzheimer’s disease. medRxiv. 2024 Sep 18.. View in PubMed
  • Contributions of the ADNI Biostatistics Core. Alzheimers Dement. 2024 10; 20(10):7331-7339.. View in PubMed