The Human Connectome: A Structural Description of the Human Brain
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TLDR
A research strategy to achieve the connection matrix of the human brain (the human “connectome”) is proposed, and its potential impact is discussed.Abstract:
The connection matrix of the human brain (the human “connectome”) represents an indispensable foundation for basic and applied neurobiological research. However, the network of anatomical connections linking the neuronal elements of the human brain is still largely unknown. While some databases or collations of large-scale anatomical connection patterns exist for other mammalian species, there is currently no connection matrix of the human brain, nor is there a coordinated research effort to collect, archive, and disseminate this important information. We propose a research strategy to achieve this goal, and discuss its potential impact.read more
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Minimum connected component - A novel approach to detection of cognitive load induced changes in functional brain networks
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Comparative primate connectomics
TL;DR: A more detailed and specific comparison of connectomes across the primate order is presented, suggesting that larger primate brains are less well connected than smaller primate minds, but that humans have more connections than expected for the authors' cortical neuron number.
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Whole-Brain Dynamics in Aging: Disruptions in Functional Connectivity and the Role of the Rich Club.
Anira Escrichs,Carles Biarnes,Josep Garre-Olmo,José Manuel Fernández-Real,Rafel Ramos,Reinald Pamplona,Ramon Brugada,Joaquín Serena,Lluís Ramió-Torrentà,Gabriel Coll-de-Tuero,Lluis Gallart,Jordi Barretina,Joan C. Vilanova,Jordi Mayneris-Perxachs,Marco Essig,Chase R. Figley,Salvador Pedraza,Josep Puig,Gustavo Deco +18 more
TL;DR: In this paper, the authors employed two data-driven whole-brain approaches based on the phase synchronization of blood-oxygen-level-dependent signals to analyze resting-state fMRI data from 620 subjects divided into two groups (middle-age group (n = 310); age range, 50-64 years versus older group(n = 210); age ranges, 65-91 years).
Journal ArticleDOI
Local connectome phenotypes predict social, health, and cognitive factors.
Michael A. Powell,Javier O. Garcia,Fang-Cheng Yeh,Jean M. Vettel,Jean M. Vettel,Jean M. Vettel,Timothy Verstynen +6 more
TL;DR: This work shows, for the first time, how the local connectome has both the sensitivity and the specificity to be used as a phenotypic marker for subject-specific attributes, and shows how variability in the local connectedome is correlated in a principled way across individuals.
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The human corticocortical vestibular network.
Theresa Raiser,Virginia L. Flanagin,Marco Duering,A. van Ombergen,Ria Maxine Ruehl,P. zu Eulenburg +5 more
TL;DR: The analysis delineated a remarkably stable organization of cortical vestibular connectivity, which might explain why cortical lesions in humans do not lead to persistent Vestibular symptoms and buffer the network and reestablish network integrity quickly in case of injury.
References
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