Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation

نویسندگان

  • Jakob Seidlitz
  • František Váša
  • Maxwell Shinn
  • Rafael Romero-Garcia
  • Kirstie J. Whitaker
  • Petra E. Vértes
  • Paul Kirkpatrick Reardon
  • Liv Clasen
  • Adam Messinger
  • David A. Leopold
  • Peter Fonagy
  • Raymond J. Dolan
  • Peter B. Jones
  • Ian M. Goodyer
  • Armin Raznahan
  • Edward T. Bullmore
چکیده

a University of Cambridge, Department of Psychiatry, Cambridge, CB2 0SZ, UK. b Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD 20892, USA. c Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20892, USA. d Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892, USA. e Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda, MD 20892, USA. f Research Department of Clinical, Educational and Health Psychology, University College London, London, WC1E 6BT, UK. g Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, WC1N 3BG, UK. h Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, WC1B 5EH, UK. i Cambridgeshire and Peterborough NHS Foundation Trust, Huntingdon, PE29 3RJ, UK. j ImmunoPsychiatry, Immuno-Inflammation Therapeutic Area Unit, GlaxoSmithKline R&D, Stevenage SG1 2NY, UK.

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Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation.

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تاریخ انتشار 2017