Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Authors

Tiago Azevedo, Department of Computer Science and Technology
Richard A.I. Bethlehem, Department of Psychiatry
David J. Whiteside, Cambridge University Hospitals NHS Foundation Trust
Nol Swaddiwudhipong, Cambridge University Hospitals NHS Foundation Trust
James B. Rowe, Cambridge University Hospitals NHS Foundation Trust
Pietro Lió, Department of Computer Science and Technology
Timothy Rittman, Cambridge University Hospitals NHS Foundation Trust
Gail Li, University of Washington
Eric C. Petrie, University of Washington
Elaine R. Peskind, University of Washington
Teresa Villena, Premiere Research Institute
Walter Martinez, Premiere Research Institute
Carl Sadowsky, Premiere Research Institute
Athena Lee, Cornell University
Lisa Ravdin, Cornell University
Michael Lin, Cornell University
Gloria Chiang, Cornell University
Norman Relkin, Cornell University
Robert B. Santulli, Dartmouth-Hitchcock Medical Center
Mary L. Hynes, Dartmouth-Hitchcock Medical Center
Marc Seltzer, Dartmouth-Hitchcock Medical Center
Laura A. Flashman, Dartmouth-Hitchcock Medical Center
Karen Anderson, Hartford Hospital
Karen Blank, Hartford Hospital
Godfrey D. Pearlson, Hartford Hospital
Smita Kittur, Neurological Care of CNY
Stephen Correia, Butler Hospital
Paul Malloy, Butler Hospital
Stephen Salloway, Butler Hospital
Steven Potkin, Long Beach
Paul Newhouse, Vanderbilt University Medical Center
Angelica Garcia, Barrow Neurological Institute
Jiong Shi, Barrow Neurological Institute
Joseph Masdeu, Houston Methodist

Document Type

Article

Publication Date

12-1-2023

Abstract

Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer’s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer’s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer’s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that could be used to select people at high risk of future dementia for clinical trials.

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