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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

The structural connectome constrains fast brain dynamics

TL;DR: In this article, the authors use magnetoencephalography (MEG) to quantify the extent to which fast neural dynamics in the human brain are constrained by structural connections inferred from diffusion MRI tractography.
Journal ArticleDOI

Alterations in prefrontal-limbic functional activation and connectivity in chronic stress-induced visceral hyperalgesia.

TL;DR: The altered pattern of functional brain activation in stressed rats is in general agreement with that observed in IBS patients in human brain imaging studies, providing further support for the face and construct validity of the WAS model for IBS.
Journal ArticleDOI

Revealing networks from dynamics: an introduction

TL;DR: In this article, the authors review recent progress on how to infer structural connectivity (direct interactions) from accessing the dynamics of the units and briefly mention some standard ways of inferring effective or functional connectivity.
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The functional brain connectome of the child and autism spectrum disorders

TL;DR: The theory behind the brain connectome concept is described and its applicability to studying the development and dynamics of brain networks through graph theoretical metrics is described.
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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