Improved multimodal prediction of progression from MCI to Alzheimer's disease combining genetics with quantitative brain MRI and cognitive measures

Abstract

There is a pressing need for non‐invasive, cost‐effective tools for early detection of Alzheimer's disease (AD).

Document Details

Document Type
Pub Defense Publication
Publication Date
May 02, 2023
Source ID
10.1002/alz.13112

Entities

People

  • Alexey Shadrin
  • Anders M. Dale
  • Carolina Makowski
  • Chun C. Fan
  • Dennis Van Der Meer
  • Dominic Holland
  • Ehsan Motazedi
  • Emilie T Reas
  • For The Alzheimer’s Disease Neuroimaging Initiative*
  • Geir Selbæk
  • Iris Broce
  • James B. Brewer
  • Linda Mcevoy
  • Olav B. Smeland
  • Ole A. Andreassen
  • Oleksandr Frei
  • Robert Loughnan
  • Sarah J. Banks
  • Shahram Bahrami
  • Tyler M Seibert
  • Vera Fominykh
  • Weiqiu Cheng
  • Xin Wang

Organizations

  • National Institute on Aging
  • National Institutes of Health
  • Research Council of Norway
  • The National Association for Public Health
  • United States Department of Defense
  • University of California
  • University of California, San Diego
  • University of Oslo

Tags

Fields of Study

  • Biology

Readers

  • Life Cycle Cost Analysis
  • Medical Imaging.
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • Biotechnology