Cognitive subtypes of probable Alzheimer's disease robustly identified in four cohorts

Abstract

Patients with Alzheimer's disease (AD) show heterogeneity in profile of cognitive impairment. We aimed to identify cognitive subtypes in four large AD cohorts using a data‐driven clustering approach.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 17, 2017
Source ID
10.1016/j.jalz.2017.03.002

Entities

People

  • Amsterdam Dementia Cohort
  • Betty M. Tijms
  • Brendan I. Cohn‐sheehy
  • Bruce L. Miller
  • Charlotte E. Teunissen
  • Frederik Barkhof
  • German Dementia Competence Network
  • Gil D. Rabinovici
  • Joel H. Kramer
  • Johannes Kornhuber
  • Michael J. Wagner
  • Nienke M.e. Scheltens
  • Oliver Peters
  • Philip Scheltens
  • Steffen Wolfsgruber
  • Teddy Koene
  • University Of California San Francisco Memory And Aging Center
  • Wiesje M. Van Der Flier

Organizations

  • Alzheimer's Disease Neuroimaging Initiative
  • Charité
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • German Center for Neurodegenerative Diseases
  • National Institute of Biomedical Imaging and Bioengineering
  • National Institute on Aging
  • National Institutes of Health
  • United States Department of Defense
  • University College London
  • University of Bonn
  • University of California, San Francisco
  • VU University Medical Center
  • Vrije Universiteit Amsterdam

Tags

Fields of Study

  • Biology

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