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  • Rahul S. Desikan, Florent Ségonne, +9 authors Ronald J. Killiany
  • Psychology, Medicine, Computer Science
  • NeuroImage
  • 2006 (First Publication: 1 July 2006)
  • In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyralExpand
  • Xiao Han, Jorge Jovicich, +13 authors Bruce R. Fischl
  • Psychology, Medicine, Computer Science
  • NeuroImage
  • 2006 (First Publication: 1 August 2006)
  • In vivo MRI-derived measurements of human cerebral cortex thickness are providing novel insights into normal and abnormal neuroanatomy, but little is known about their reliability. We investigatedExpand
  • Kim A. Celone, Vince D. Calhoun, +9 authors Reisa A. Sperling
  • Medicine, Biology
  • The Journal of Neuroscience
  • 2006 (First Publication: 4 October 2006)
  • Memory function is likely subserved by multiple distributed neural networks, which are disrupted by the pathophysiological process of Alzheimer's disease (AD). In this study, we used multivariateExpand
  • Saul L. Miller, Kim Celone, +5 authors Reisa A. Sperling
  • Medicine
  • Proceedings of the National Academy of Sciences
  • 2008 (First Publication: 12 February 2008)
  • The neural underpinnings of age-related memory impairment remain to be fully elucidated. Using a subsequent memory face–name functional MRI (fMRI) paradigm, young and old adults showed a similarExpand
  • Bradford C. Dickerson, Akram Bakkour, +14 authors Randy L. Buckner
  • Psychology, Medicine
  • Cerebral cortex
  • 2009 (First Publication: 1 July 2008)
  • Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance imaging. It is not clearExpand
  • Jorge Jovicich, Silvester Czanner, +14 authors Bruce R. Fischl
  • Psychology, Medicine, Computer Science
  • NeuroImage
  • 2009 (First Publication: 15 May 2009)
  • Automated MRI-derived measurements of in-vivo human brain volumes provide novel insights into normal and abnormal neuroanatomy, but little is known about measurement reliability. Here we assess theExpand