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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.

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Journal ArticleDOI

Complex brain networks: graph theoretical analysis of structural and functional systems

TL;DR: This article reviews studies investigating complex brain networks in diverse experimental modalities and provides an accessible introduction to the basic principles of graph theory and highlights the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
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Complex network measures of brain connectivity: uses and interpretations.

TL;DR: Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
Journal ArticleDOI

Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control

TL;DR: Two distinct networks typically coactivated during functional MRI tasks are identified, anchored by dorsal anterior cingulate and orbital frontoinsular cortices with robust connectivity to subcortical and limbic structures, and an “executive-control network” that links dorsolateral frontal and parietal neocortices.
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Mapping the Structural Core of Human Cerebral Cortex

TL;DR: The spatial and topological centrality of the core within cortex suggests an important role in functional integration and a substantial correspondence between structural connectivity and resting-state functional connectivity measured in the same participants.
Journal ArticleDOI

BrainNet Viewer: a network visualization tool for human brain connectomics.

TL;DR: This work has developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models, and helps researchers to visualize brain networks in an easy, flexible and quick manner.
References
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Journal ArticleDOI

Computational analysis of functional connectivity between areas of primate cerebral cortex.

TL;DR: A relational database is built up by systematically collating published data on the spread of activity after strychnine-induced disinhibition in the macaque cerebral cortex in vivo to demonstrate that the cortical network of functional interactions is not homogeneous, but shows a clear segregation into functional assemblies of mutually interacting areas.
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Backwardness of human neuroanatomy

TL;DR: To interpret the activity of living human brains, their neuroanatomy must be known in detail, since most of the methods now used on monkeys cannot be used on humans.
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Neural modeling, functional brain imaging, and cognition.

TL;DR: Two neural-modeling approaches for use with functional brain imaging data are described, one of which uses structural equation modeling and the other employs large-scale neural modeling to relate functional neuroimaging signals in multiple, interconnected brain regions to the underlying neurobiological time-varying activities in each region.
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Microcolumns in the cerebral cortex

TL;DR: The hypothesis that nerve cells in middle layers of the cortex should be joined by narrow vertical connections to cells in layers lying superficial and deep to them, so that all cells in the column are excited by incoming stimuli with only small latency differences is formulated.

Neurotechnique Magnetic Resonance Imaging of Neuronal Connections in the Macaque Monkey

TL;DR: Watanabe et al. as mentioned in this paper used MRI contrast to evaluate the specificity of the former by tracing in the optic tract, as well as in the contralateral superior the neuronal connections of the basal ganglia of the colliculus.
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