Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns

Alzheimer's Disease Neuroimaging Initiative

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)


Introduction: Recent studies have shown that pathologically defined subtypes of Alzheimer's disease (AD) represent distinctive atrophy patterns and clinical characteristics. We investigated whether a cortical thickness-based clustering method can reflect such findings. Methods: A total of 77 AD subjects from the Alzheimer's Disease Neuroimaging Initiative 2 data set who underwent 3-T magnetic resonance imaging, [18F]-fluorodeoxyglucose-positron emission tomography (PET), [18F]-Florbetapir PET, and cerebrospinal fluid (CSF) tests were enrolled. After clustering based on cortical thickness, diverse imaging and biofluid biomarkers were compared between these groups. Results: Three cortical thinning patterns were noted: medial temporal (MT; 19.5%), diffuse (55.8%), and parietal dominant (P; 24.7%) atrophy subtypes. The P subtype was the youngest and represented more glucose hypometabolism in the parietal and occipital cortices and marked amyloid-beta accumulation in most brain regions. The MT subtype revealed more glucose hypometabolism in the left hippocampus and bilateral frontal cortices and less performance in memory tests. CSF test results did not differ between the groups. Discussion: Cortical thickness patterns can reflect pathophysiological and clinical changes in AD.

Original languageEnglish
Pages (from-to)58-67
Number of pages10
JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Publication statusPublished - 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 The Authors.


  • Alzheimer's Disease Neuroimaging Initiative
  • Alzheimer's disease
  • Cortical thickness
  • Magnetic resonance imaging
  • Positron emission tomography

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health


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