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.read more
Citations
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Connectometry: A statistical approach harnessing the analytical potential of the local connectome.
TL;DR: It is shown how connectometry can capture variability within core white matter pathways in a statistically efficient manner and extract meaningful variability fromwhite matter pathways, complements graph-theoretic connectomic measures, and is more sensitive than region-of-interest approaches.
Journal ArticleDOI
Development of Human Brain Structural Networks Through Infancy and Childhood
Hao Huang,Ni Shu,Virendra Mishra,Tina Jeon,Lina F. Chalak,Zhiyue J. Wang,Nancy K. Rollins,Gaolang Gong,Hua Cheng,Yun Peng,Qi Dong,Yong He +11 more
TL;DR: Results reveal substantial topological reorganization of human brain structural networks through infancy and childhood, which is likely to be the outcome of both heterogeneous strengthening of the major white matter tracts and pruning of other axonal fibers.
Journal ArticleDOI
Stroke and the Connectome: How Connectivity Guides Therapeutic Intervention
Gergely Silasi,Timothy H. Murphy +1 more
TL;DR: It is suggested that new treatments for stroke may involve a rational functional and structural connections-based approach, guided by brain imaging and enabled by patient- and injury-specific brain stimulation, rehabilitation, and potential molecule-based strategies to enable new connections.
Journal ArticleDOI
Machines that learn to segment images: a crucial technology for connectomics
TL;DR: It should now be faster for a human to correct the remaining errors than to segment an image manually, and crucial for finding connectomes more complex than that of Caenorhabditis elegans.
Proceedings Article
Deep contextual networks for neuronal structure segmentation
TL;DR: A deep contextual network is proposed here by leveraging multi-level contextual information from the deep hierarchical structure to achieve better segmentation performance and can potentially facilitate the automatic connectome analysis from EM images with less human intervention effort.
References
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