Literature DB >> 24139656

Imaging connectivity: MRI and the structural networks of the brain.

Jonathan D Clayden.   

Abstract

Magnetic resonance imaging (MRI) is a flexible and widely available neuroimaging technique. Structural MRI and diffusion MRI, in particular, provide information about connectivity between brain regions which may be combined to obtain a picture of entire neural networks, or the so-called connectome. In this review we outline the principles of MR-based connectivity analysis, discuss what relevant information it can provide for clinical and non-clinical neuroscience research, and outline some of the outstanding needs which future work will aim to meet.

Mesh:

Year:  2013        PMID: 24139656      PMCID: PMC3812744          DOI: 10.11138/FNeur/2013.28.3.197

Source DB:  PubMed          Journal:  Funct Neurol        ISSN: 0393-5264


  57 in total

1.  Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI.

Authors:  D K Jones; A Simmons; S C Williams; M A Horsfield
Journal:  Magn Reson Med       Date:  1999-07       Impact factor: 4.668

2.  Developmental changes in organization of structural brain networks.

Authors:  Budhachandra S Khundrakpam; Andrew Reid; Jens Brauer; Felix Carbonell; John Lewis; Stephanie Ameis; Sherif Karama; Junki Lee; Zhang Chen; Samir Das; Alan C Evans
Journal:  Cereb Cortex       Date:  2012-07-10       Impact factor: 5.357

3.  Shape modelling for tract selection.

Authors:  Jonathan D Clayden; Martin D King; Chris A Clark
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

Review 4.  Distributed hierarchical processing in the primate cerebral cortex.

Authors:  D J Felleman; D C Van Essen
Journal:  Cereb Cortex       Date:  1991 Jan-Feb       Impact factor: 5.357

5.  About "axial" and "radial" diffusivities.

Authors:  Claudia A M Wheeler-Kingshott; Mara Cercignani
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

6.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

7.  Automated delineation of white matter fiber tracts with a multiple region-of-interest approach.

Authors:  Ralph O Suarez; Olivier Commowick; Sanjay P Prabhu; Simon K Warfield
Journal:  Neuroimage       Date:  2011-11-27       Impact factor: 6.556

8.  Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm.

Authors:  Matteo Bastiani; Nadim Jon Shah; Rainer Goebel; Alard Roebroeck
Journal:  Neuroimage       Date:  2012-06-12       Impact factor: 6.556

9.  Validation of in vitro probabilistic tractography.

Authors:  Tim B Dyrby; Lise V Søgaard; Geoffrey J Parker; Daniel C Alexander; Nanna M Lind; William F C Baaré; Anders Hay-Schmidt; Nina Eriksen; Bente Pakkenberg; Olaf B Paulson; Jacob Jelsing
Journal:  Neuroimage       Date:  2007-07-10       Impact factor: 6.556

10.  Connectivity-based parcellation of human cortex using diffusion MRI: Establishing reproducibility, validity and observer independence in BA 44/45 and SMA/pre-SMA.

Authors:  Johannes C Klein; Timothy E J Behrens; Matthew D Robson; Clare E Mackay; Desmond J Higham; Heidi Johansen-Berg
Journal:  Neuroimage       Date:  2006-10-03       Impact factor: 6.556

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  14 in total

Review 1.  The connectomics challenge.

Authors:  Ludovico Silvestri; Leonardo Sacconi; Francesco Saverio Pavone
Journal:  Funct Neurol       Date:  2013 Jul-Sep

2.  Reconstructing contralateral fiber tracts: methodological aspects of cerebello-thalamocortical pathway reconstruction.

Authors:  Fulvia Palesi; Jacques-Donald Tournier; F Calamante; Nils Muhlert; Gloria Castellazzi; Declan Chard; E D'Angelo; Claudia Gandini Wheeler-Kingshott
Journal:  Funct Neurol       Date:  2016 Oct/Dec

3.  Altered cerebellar connectivity in autism and cerebellar-mediated rescue of autism-related behaviors in mice.

Authors:  Catherine J Stoodley; Anila M D'Mello; Jacob Ellegood; Vikram Jakkamsetti; Pei Liu; Mary Beth Nebel; Jennifer M Gibson; Elyza Kelly; Fantao Meng; Christopher A Cano; Juan M Pascual; Stewart H Mostofsky; Jason P Lerch; Peter T Tsai
Journal:  Nat Neurosci       Date:  2017-10-30       Impact factor: 24.884

4.  Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding.

Authors:  Yasser Ghanbari; Alex R Smith; Robert T Schultz; Ragini Verma
Journal:  Med Image Anal       Date:  2014-06-27       Impact factor: 8.545

5.  Confirmation of a gyral bias in diffusion MRI fiber tractography.

Authors:  Kurt Schilling; Yurui Gao; Vaibhav Janve; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Hum Brain Mapp       Date:  2017-12-19       Impact factor: 5.038

6.  Rewiring of neuronal networks during synaptic silencing.

Authors:  Jana Katharina Wrosch; Vicky von Einem; Katharina Breininger; Marc Dahlmanns; Andreas Maier; Johannes Kornhuber; Teja Wolfgang Groemer
Journal:  Sci Rep       Date:  2017-09-15       Impact factor: 4.379

7.  Differential involvement of cortical and cerebellar areas using dominant and nondominant hands: An FMRI study.

Authors:  Adnan A S Alahmadi; Matteo Pardini; Rebecca S Samson; Egidio D'Angelo; Karl J Friston; Ahmed T Toosy; Claudia A M Gandini Wheeler-Kingshott
Journal:  Hum Brain Mapp       Date:  2015-09-29       Impact factor: 5.038

8.  NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity.

Authors:  Fani Deligianni; David W Carmichael; Gary H Zhang; Chris A Clark; Jonathan D Clayden
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

Review 9.  From Structure to Circuits: The Contribution of MEG Connectivity Studies to Functional Neurosurgery.

Authors:  Elizabeth W Pang; O C Snead Iii
Journal:  Front Neuroanat       Date:  2016-06-21       Impact factor: 3.856

Review 10.  Review on Graph Clustering and Subgraph Similarity Based Analysis of Neurological Disorders.

Authors:  Jaya Thomas; Dongmin Seo; Lee Sael
Journal:  Int J Mol Sci       Date:  2016-06-01       Impact factor: 5.923

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