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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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Structural and functional connectivity in traumatic brain injury

TL;DR: Recent developments in the study of brain network abnormalities in traumatic brain injury are reviewed, mainly focusing on structural and functional connectivity.
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Embedded Finite Elements for Modeling Axonal Injury

TL;DR: A large strain embedded finite element formulation that can be used to explicitly model axonal fiber bundle tractography from diffusion tensor imaging of the brain is proposed and developed.
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Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators.

TL;DR: This work improves the reproducibility of single-subject parcellation using shrinkage-based estimators of such measures, allowing the noisy subject-specific estimator to "borrow strength" in a principled manner from a larger population of subjects.
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Neuroanatomical Domain of the Foundational Model of Anatomy Ontology

TL;DR: Recent enhancements to the neuroanatomical content of the Foundational Model of Anatomy that models cytoarchitectural and morphological regions of the cerebral cortex, as well as white matter structure and connectivity are described.
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Characterizations of resting-state modulatory interactions in the human brain

TL;DR: In this article, a region-of-interest (ROI)-based physiophysiological interaction analysis on resting-state fMRI data was performed to characterize large-scale modulatory interactions.
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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