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Co-Planar Stereotaxic Atlas of the Human Brain
J. Talairach,Pierre Tournoux +1 more
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The article was published on 1988-11-01 and is currently open access. It has received 11924 citations till now.read more
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A default mode of brain function.
Marcus E. Raichle,Ann Mary MacLeod,Abraham Z. Snyder,William J. Powers,Debra A. Gusnard,Gordon L. Shulman +5 more
TL;DR: A baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF is identified, suggesting the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
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Cortical surface-based analysis. I. Segmentation and surface reconstruction
TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
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The Brain's Default Network Anatomy, Function, and Relevance to Disease
TL;DR: Past observations are synthesized to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment, and for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Michael D. Fox,Abraham Z. Snyder,Justin L. Vincent,Maurizio Corbetta,David C. Van Essen,Marcus E. Raichle +5 more
TL;DR: It is suggested that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain, featuring the presence of anticorrelated networks in the absence of overt task performance.
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Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.
Bruce Fischl,David H. Salat,Evelina Busa,Marilyn S. Albert,Megan E. Dieterich,Christian Haselgrove,Andre van der Kouwe,Ronald J. Killiany,David N. Kennedy,Shuna Klaveness,Albert Montillo,Nikos Makris,Bruce R. Rosen,Anders M. Dale +13 more
TL;DR: In this paper, a technique for automatically assigning a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from a manually labeled training set is presented.