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Open AccessJournal ArticleDOI

The Human Connectome: A Structural Description of the Human Brain

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

Network hubs in the human brain

TL;DR: Combining data from numerous empirical and computational studies, network approaches strongly suggest that brain hubs play important roles in information integration underpinning numerous aspects of complex cognitive function.
Journal ArticleDOI

Intrinsic Functional Connectivity As a Tool For Human Connectomics: Theory, Properties, and Optimization

TL;DR: The brevity and robustness of fcMRI positions it as a powerful tool for large-scale explorations of genetic influences on brain architecture and how it can be combined with HARDI techniques to support the emerging field of human connectomics.
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A dual-networks architecture of top-down control.

TL;DR: The control systems of the brain seem to embody the principles of complex systems, encouraging resilient performance in a group of regions associated with top-down control.
Journal ArticleDOI

The connectomics of brain disorders

TL;DR: This work considers how brain-network topology shapes neural responses to damage, highlighting key maladaptive processes and the resources and processes that enable adaptation, and shows how knowledge of network topology allows for predictive models of the spread and functional consequences of brain disease.
References
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Journal ArticleDOI

Distributed Hierarchical Processing in the Primate Cerebral Cortex

TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
Journal ArticleDOI

Sequence the Human Genome

TL;DR: This book aims to provide a history of Chinese modern art from 17th Century to the present day through the lens of 20th Century critics, practitioners, journalists, and mediaeval and modern-day critics.
Journal ArticleDOI

Dynamic causal modelling.

TL;DR: As with previous analyses of effective connectivity, the focus is on experimentally induced changes in coupling, but unlike previous approaches in neuroimaging, the causal model ascribes responses to designed deterministic inputs, as opposed to treating inputs as unknown and stochastic.
Journal ArticleDOI

Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

TL;DR: The results provide the first quantitative demonstration of reliable inference of anatomical connectivity between human gray matter structures using diffusion data and the first connectivity-based segmentation of gray matter.
Journal ArticleDOI

The columnar organization of the neocortex.

V B Mountcastle
- 01 Apr 1997 - 
TL;DR: The modular organization of nervous systems is a widely documented principle of design for both vertebrate and invertebrate brains of which the columnar organization of the neocortex is an example.
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