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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Systematic comparison of adeno-associated virus and biotinylated dextran amine reveals equivalent sensitivity between tracers and novel projection targets in the mouse brain.
Quanxin Wang,Alex M. Henry,Julie A. Harris,Seung Wook Oh,Kevin M. Joines,Julie Nyhus,Karla E. Hirokawa,Nick Dee,Marty Mortrud,Sheana Parry,Benjamin Ouellette,Shiella Caldejon,Amy Bernard,Allan R. Jones,Hongkui Zeng,John G. Hohmann +15 more
TL;DR: Results show that AAV has actions equivalent to those of BDA as an anterograde tracer and is suitable for analysis of neural circuitry throughout the mouse brain.
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Connectivity-based parcellation of the cortical mantle using q-ball diffusion imaging
Muriel Perrin,Y. Cointepas,Arnaud Cachia,Cyril Poupon,Bertrand Thirion,Denis Rivière,Pascal Cathier,Vincent El Kouby,André Constantinesco,Denis Le Bihan,Jean-François Mangin +10 more
TL;DR: This paper exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical mantle using MR diffusion imaging using a K-means approach including spatial regularization.
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Local termination pattern analysis: a tool for comparing white matter morphology.
Matthew Cieslak,Scott T. Grafton +1 more
TL;DR: Here it is shown that local termination patterns from an individual are highly reproducible across the entire brain, and how LTPA can be deployed into a clinical database and used to characterize white matter morphology differences due to disease, developmental or genetic factors.
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Large-Scale Analysis of Gene Expression and Connectivity in the Rodent Brain: Insights through Data Integration.
TL;DR: Using multiple large-scale data sets obtained from public sources, this work identifies two novel patterns of mouse brain gene expression showing a strong degree of anti-correlation, and relates this to multiple data modalities including macroscale connectivity.
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Multidimensional encoding of brain connectomes.
TL;DR: A framework to encode structural brain connectomes and diffusion-weighted magnetic resonance (dMRI) data using multidimensional arrays is presented and it is demonstrated that the framework allows performing anatomical manipulations on white matter tracts for statistical inference and to study the white matter geometrical organization.
References
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