Literature DB >> 23523808

The history of CoCoMac.

Klaas Enno Stephan1.   

Abstract

CoCoMac, the "Collation of Connectivity Data for the Macaque" is a relational database system which presently constitutes the largest electronic repository of published neuroanatomical connectivity data. Developed since 1996, CoCoMac comprises approximately 40,000 experimental findings on anatomical connections in the macaque brain, as derived from neuroanatomical tract tracing studies. In this historical review, I describe the origin and the history of CoCoMac from a personal perspective, illustrate the principles of its structure and outline the impact it has had on systems neuroscience, in particular as a prelude to the "Human Connectome" research programme.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Circuit; Computational neuroscience; Connectivity; Database; Network; Neuroinformatics; ORT; Objective relational transformation; Tract tracing

Mesh:

Year:  2013        PMID: 23523808     DOI: 10.1016/j.neuroimage.2013.03.016

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

1.  Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data.

Authors:  Tuo Zhang; Jun Kong; Ke Jing; Hanbo Chen; Xi Jiang; Longchuan Li; Lei Guo; Jianfeng Lu; Xiaoping Hu; Tianming Liu
Journal:  Comput Med Imaging Graph       Date:  2018-06-25       Impact factor: 4.790

Review 2.  Building better biomarkers: brain models in translational neuroimaging.

Authors:  Choong-Wan Woo; Luke J Chang; Martin A Lindquist; Tor D Wager
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

3.  Large-scale topology and the default mode network in the mouse connectome.

Authors:  James M Stafford; Benjamin R Jarrett; Oscar Miranda-Dominguez; Brian D Mills; Nicholas Cain; Stefan Mihalas; Garet P Lahvis; K Matthew Lattal; Suzanne H Mitchell; Stephen V David; John D Fryer; Joel T Nigg; Damien A Fair
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-15       Impact factor: 11.205

4.  Mapping brain-wide excitatory projectome of primate prefrontal cortex at submicron resolution and comparison with diffusion tractography.

Authors:  Mingchao Yan; Wenwen Yu; Qian Lv; Qiming Lv; Tingting Bo; Xiaoyu Chen; Yilin Liu; Yafeng Zhan; Shengyao Yan; Xiangyu Shen; Baofeng Yang; Qiming Hu; Jiangli Yu; Zilong Qiu; Yuanjing Feng; Xiao-Yong Zhang; He Wang; Fuqiang Xu; Zheng Wang
Journal:  Elife       Date:  2022-05-20       Impact factor: 8.140

Review 5.  Functional connectomics from resting-state fMRI.

Authors:  Stephen M Smith; Diego Vidaurre; Christian F Beckmann; Matthew F Glasser; Mark Jenkinson; Karla L Miller; Thomas E Nichols; Emma C Robinson; Gholamreza Salimi-Khorshidi; Mark W Woolrich; Deanna M Barch; Kamil Uğurbil; David C Van Essen
Journal:  Trends Cogn Sci       Date:  2013-11-12       Impact factor: 20.229

Review 6.  Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril.

Authors:  Mark D Grier; Jan Zimmermann; Sarah R Heilbronner
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-04-27

Review 7.  The future of human cerebral cartography: a novel approach.

Authors:  Richard Frackowiak; Henry Markram
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

Review 8.  Caenorhabditis elegans and the network control framework-FAQs.

Authors:  Emma K Towlson; Petra E Vértes; Gang Yan; Yee Lian Chew; Denise S Walker; William R Schafer; Albert-László Barabási
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-10       Impact factor: 6.237

9.  Text mining for neuroanatomy using WhiteText with an updated corpus and a new web application.

Authors:  Leon French; Po Liu; Olivia Marais; Tianna Koreman; Lucia Tseng; Artemis Lai; Paul Pavlidis
Journal:  Front Neuroinform       Date:  2015-05-21       Impact factor: 4.081

Review 10.  Long-range connectomics.

Authors:  Saad Jbabdi; Timothy E Behrens
Journal:  Ann N Y Acad Sci       Date:  2013-09-24       Impact factor: 5.691

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