Literature DB >> 21908183

Human connectomics.

Timothy E J Behrens1, Olaf Sporns.   

Abstract

Recent advances in non-invasive neuroimaging have enabled the measurement of connections between distant regions in the living human brain, thus opening up a new field of research: Human connectomics. Different imaging modalities allow the mapping of structural connections (axonal fibre tracts) as well as functional connections (correlations in time series), and individual variations in these connections may be related to individual variations in behaviour and cognition. Connectivity analysis has already led to a number of new insights about brain organization. For example, segregated brain regions may be identified by their unique patterns of connectivity, structural and functional connectivity may be compared to elucidate how dynamic interactions arise from the anatomical substrate, and the architecture of large-scale networks connecting sets of brain regions may be analysed in detail. The combined analysis of structural and functional networks has begun to reveal components or modules with distinct patterns of connections that become engaged in different cognitive tasks. Collectively, advances in human connectomics open up the possibility of studying how brain connections mediate regional brain function and thence behaviour.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21908183      PMCID: PMC3294015          DOI: 10.1016/j.conb.2011.08.005

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  78 in total

1.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

2.  Reproducibility of graph metrics of human brain functional networks.

Authors:  Lorena Deuker; Edward T Bullmore; Marie Smith; Soren Christensen; Pradeep J Nathan; Brigitte Rockstroh; Danielle S Bassett
Journal:  Neuroimage       Date:  2009-05-20       Impact factor: 6.556

3.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

4.  Microstructural organization of the cingulum tract and the level of default mode functional connectivity.

Authors:  Martijn van den Heuvel; René Mandl; Judith Luigjes; Hilleke Hulshoff Pol
Journal:  J Neurosci       Date:  2008-10-22       Impact factor: 6.167

5.  Weight-conserving characterization of complex functional brain networks.

Authors:  Mikail Rubinov; Olaf Sporns
Journal:  Neuroimage       Date:  2011-04-01       Impact factor: 6.556

Review 6.  The functional logic of cortical connections.

Authors:  S Zeki; S Shipp
Journal:  Nature       Date:  1988-09-22       Impact factor: 49.962

7.  Challenges and opportunities in mining neuroscience data.

Authors:  Huda Akil; Maryann E Martone; David C Van Essen
Journal:  Science       Date:  2011-02-11       Impact factor: 47.728

8.  Precuneus shares intrinsic functional architecture in humans and monkeys.

Authors:  Daniel S Margulies; Justin L Vincent; Clare Kelly; Gabriele Lohmann; Lucina Q Uddin; Bharat B Biswal; Arno Villringer; F Xavier Castellanos; Michael P Milham; Michael Petrides
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-10       Impact factor: 11.205

Review 9.  Complex brain networks: graph theoretical analysis of structural and functional systems.

Authors:  Ed Bullmore; Olaf Sporns
Journal:  Nat Rev Neurosci       Date:  2009-02-04       Impact factor: 34.870

10.  Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus.

Authors:  Heidi Johansen-Berg; Timothy E J Behrens; Emma Sillery; Olga Ciccarelli; Alan J Thompson; Stephen M Smith; Paul M Matthews
Journal:  Cereb Cortex       Date:  2004-07-06       Impact factor: 5.357

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  90 in total

1.  A Jones matrix formalism for simulating three-dimensional polarized light imaging of brain tissue.

Authors:  M Menzel; K Michielsen; H De Raedt; J Reckfort; K Amunts; M Axer
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

2.  How Visual Is the Visual Cortex? Comparing Connectional and Functional Fingerprints between Congenitally Blind and Sighted Individuals.

Authors:  Xiaoying Wang; Marius V Peelen; Zaizhu Han; Chenxi He; Alfonso Caramazza; Yanchao Bi
Journal:  J Neurosci       Date:  2015-09-09       Impact factor: 6.167

Review 3.  Cerebral cartography and connectomics.

Authors:  Olaf Sporns
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

Review 4.  Resting-state fMRI: a review of methods and clinical applications.

Authors:  M H Lee; C D Smyser; J S Shimony
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-30       Impact factor: 3.825

5.  Transient neuronal coactivations embedded in globally propagating waves underlie resting-state functional connectivity.

Authors:  Teppei Matsui; Tomonari Murakami; Kenichi Ohki
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-16       Impact factor: 11.205

Review 6.  Application of Research Domain Criteria to childhood and adolescent impulsive and addictive disorders: Implications for treatment.

Authors:  Sarah W Yip; Marc N Potenza
Journal:  Clin Psychol Rev       Date:  2016-11-09

7.  Neural networks of the mouse neocortex.

Authors:  Brian Zingg; Houri Hintiryan; Lin Gou; Monica Y Song; Maxwell Bay; Michael S Bienkowski; Nicholas N Foster; Seita Yamashita; Ian Bowman; Arthur W Toga; Hong-Wei Dong
Journal:  Cell       Date:  2014-02-27       Impact factor: 41.582

Review 8.  The Human Connectome Project's neuroimaging approach.

Authors:  Matthew F Glasser; Stephen M Smith; Daniel S Marcus; Jesper L R Andersson; Edward J Auerbach; Timothy E J Behrens; Timothy S Coalson; Michael P Harms; Mark Jenkinson; Steen Moeller; Emma C Robinson; Stamatios N Sotiropoulos; Junqian Xu; Essa Yacoub; Kamil Ugurbil; David C Van Essen
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

Review 9.  A quantitative neural network approach to understanding aging phenotypes.

Authors:  Jessica A Ash; Peter R Rapp
Journal:  Ageing Res Rev       Date:  2014-02-15       Impact factor: 10.895

10.  Fine-granularity functional interaction signatures for characterization of brain conditions.

Authors:  Xintao Hu; Dajiang Zhu; Peili Lv; Kaiming Li; Junwei Han; Lihong Wang; Dinggang Shen; Lei Guo; Tianming Liu
Journal:  Neuroinformatics       Date:  2013-07
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