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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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Dynamic Connectivity Detection: an algorithm for determining functional connectivity change points in fMRI data

TL;DR: The newly proposed DCD method is faster, requires less user input, and is better able to handle high-dimensional data, which overcomes the shortcomings of DCR by adopting a simplified sparse matrix estimation approach and a different hypothesis testing procedure to determine change points.
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Combining complex networks and data mining: why and how

TL;DR: In this paper, an overview of both fields is provided, some fundamental concepts of which are illustrated, and a variety of contexts in which complex network theory and data mining have been used in a synergistic manner are presented.
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Bottom up modeling of the connectome: linking structure and function in the resting brain and their changes in aging.

TL;DR: An overview of a modeling approach of the resting brain network is presented and an application of a neural mass model in the study of complexity changes in aging is given.
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Influence of wiring cost on the large-scale architecture of human cortical connectivity.

TL;DR: This work performs a comparative analysis of a connectivity map of the cortical connectome both on high- and low-resolutions utilising three different types of surrogate networks: spatially unconstrained (‘random’, connection length preserving (’spatial’), and connection length optimised (�‘reduced’) surrogates).
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Towards a two-body neuroscience

TL;DR: The underlying issues and perspectives involved in elucidating the pathway from individual to social theories of cognition will be discussed, ranging from the choice of a common time-unit for behavioral and brain recordings to the creation of algorithms for data processing between distant brain regions in different brains.
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.
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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.
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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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