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Cortical thickness patterns as state biomarker of anorexia nervosa.

Luca LavagninoBenson MwangiBo CaoMegan E ShottJair C SoaresGuido K W Frank
Published in: The International journal of eating disorders (2018)
Higher cortical thickness in medial orbitofrontal cortex and insula probably contributes to higher gray matter volume in AN in those regions. The machine-learning algorithm identified a mixed pattern of mostly higher orbital and insular, but relatively lower superior frontal cortical thickness in individuals with current AN. These novel results suggest that regional cortical thickness patterns could be state markers for AN.
Keyphrases
  • machine learning
  • optical coherence tomography
  • functional connectivity
  • anorexia nervosa
  • deep learning
  • artificial intelligence
  • working memory
  • big data