Literature DB >> 24827379

Structural MRI connectome in development: challenges of the changing brain.

O Tymofiyeva1, C P Hess, D Xu, A J Barkovich.   

Abstract

MRI connectomics is an emerging approach to study the brain as a network of interconnected brain regions. Understanding and mapping the development of the MRI connectome may offer new insights into the development of brain connectivity and plasticity, ultimately leading to improved understanding of normal development and to more effective diagnosis and treatment of developmental disorders. In this review, we describe the attempts made to date to map the whole-brain structural MRI connectome in the developing brain and pay a special attention to the challenges associated with the rapid changes that the brain is undergoing during maturation. The two main steps in constructing a structural brain network are (i) choosing connectivity measures that will serve as the network "edges" and (ii) finding an appropriate way to divide the brain into regions that will serve as the network "nodes". We will discuss how these two steps are usually performed in developmental studies and the rationale behind different strategies. Changes in local and global network properties that have been described during maturation in neonates and children will be reviewed, along with differences in network topology between typically and atypically developing subjects, for example, owing to pre-mature birth or hypoxic ischaemic encephalopathy. Finally, future directions of connectomics will be discussed, addressing important steps necessary to advance the study of the structural MRI connectome in development.

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Year:  2014        PMID: 24827379      PMCID: PMC4075590          DOI: 10.1259/bjr.20140086

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  70 in total

1.  How can we learn about developmental processes from cross-sectional studies, or can we?

Authors:  H C Kraemer; J A Yesavage; J L Taylor; D Kupfer
Journal:  Am J Psychiatry       Date:  2000-02       Impact factor: 18.112

2.  Multi-contrast human neonatal brain atlas: application to normal neonate development analysis.

Authors:  Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang
Journal:  Neuroimage       Date:  2011-01-26       Impact factor: 6.556

Review 3.  Neuroimaging of cortical development and brain connectivity in human newborns and animal models.

Authors:  Gregory A Lodygensky; Lana Vasung; Stéphane V Sizonenko; Petra S Hüppi
Journal:  J Anat       Date:  2010-10       Impact factor: 2.610

4.  Tractography-based quantitation of diffusion tensor imaging parameters in white matter tracts of preterm newborns.

Authors:  Savannah C Partridge; Pratik Mukherjee; Jeffrey I Berman; Roland G Henry; Steven P Miller; Ying Lu; Orit A Glenn; Donna M Ferriero; A James Barkovich; Daniel B Vigneron
Journal:  J Magn Reson Imaging       Date:  2005-10       Impact factor: 4.813

5.  Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest.

Authors:  Ioannis S Gousias; Daniel Rueckert; Rolf A Heckemann; Leigh E Dyet; James P Boardman; A David Edwards; Alexander Hammers
Journal:  Neuroimage       Date:  2007-12-03       Impact factor: 6.556

6.  Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: a feasibility study using quantitative diffusion tensor imaging and tractography.

Authors:  J Dubois; L Hertz-Pannier; G Dehaene-Lambertz; Y Cointepas; D Le Bihan
Journal:  Neuroimage       Date:  2006-01-18       Impact factor: 6.556

7.  Identifying population differences in whole-brain structural networks: a machine learning approach.

Authors:  Emma C Robinson; Alexander Hammers; Anders Ericsson; A David Edwards; Daniel Rueckert
Journal:  Neuroimage       Date:  2010-01-14       Impact factor: 6.556

8.  Comparing connectomes across subjects and populations at different scales.

Authors:  Djalel Eddine Meskaldji; Elda Fischi-Gomez; Alessandra Griffa; Patric Hagmann; Stephan Morgenthaler; Jean-Philippe Thiran
Journal:  Neuroimage       Date:  2013-04-28       Impact factor: 6.556

9.  Mapping connectivity in the developing brain.

Authors:  Emily L Dennis; Paul M Thompson
Journal:  Int J Dev Neurosci       Date:  2013-05-27       Impact factor: 2.457

10.  Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns.

Authors:  Savannah C Partridge; Pratik Mukherjee; Roland G Henry; Steven P Miller; Jeffrey I Berman; Hua Jin; Ying Lu; Orit A Glenn; Donna M Ferriero; A James Barkovich; Daniel B Vigneron
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

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  21 in total

1.  Disorder-Specific Alteration in White Matter Structural Property in Adults With Autism Spectrum Disorder Relative to Adults With ADHD and Adult Controls.

Authors:  Huey-Ling Chiang; Yu-Jen Chen; Hsiang-Yuan Lin; Wen-Yih Isaac Tseng; Susan Shur-Fen Gau
Journal:  Hum Brain Mapp       Date:  2016-09-15       Impact factor: 5.038

Review 2.  Recent Advances in Neonatal Seizures.

Authors:  Tristan T Sands; Tiffani L McDonough
Journal:  Curr Neurol Neurosci Rep       Date:  2016-10       Impact factor: 5.081

Review 3.  The structural connectome in children: basic concepts, how to build it, and synopsis of challenges for the developing pediatric brain.

Authors:  Avner Meoded; Thierry A G M Huisman; Maria Grazia Sacco Casamassima; George I Jallo; Andrea Poretti
Journal:  Neuroradiology       Date:  2017-04-05       Impact factor: 2.804

Review 4.  Effect of Anesthesia on Oligodendrocyte Development in the Brain.

Authors:  Ningning Fu; Ruilou Zhu; Shuang Zeng; Ningning Li; Jiaqiang Zhang
Journal:  Front Syst Neurosci       Date:  2022-05-18

5.  DTI-based connectome analysis of adolescents with major depressive disorder reveals hypoconnectivity of the right caudate.

Authors:  Olga Tymofiyeva; Colm G Connolly; Tiffany C Ho; Matthew D Sacchet; Eva Henje Blom; Kaja Z LeWinn; Duan Xu; Tony T Yang
Journal:  J Affect Disord       Date:  2016-09-19       Impact factor: 4.839

Review 6.  Exploring early human brain development with structural and physiological neuroimaging.

Authors:  Lana Vasung; Esra Abaci Turk; Silvina L Ferradal; Jason Sutin; Jeffrey N Stout; Banu Ahtam; Pei-Yi Lin; P Ellen Grant
Journal:  Neuroimage       Date:  2018-07-21       Impact factor: 6.556

Review 7.  Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.

Authors:  Han Zhang; Dinggang Shen; Weili Lin
Journal:  Neuroimage       Date:  2018-07-07       Impact factor: 6.556

Review 8.  A Network Neuroscience Approach to Typical and Atypical Brain Development.

Authors:  Sarah E Morgan; Simon R White; Edward T Bullmore; Petra E Vértes
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-03-14

Review 9.  The importance of non-coding RNAs in environmental stress-related developmental brain disorders: A systematic review of evidence associated with exposure to alcohol, anesthetic drugs, nicotine, and viral infections.

Authors:  Thiago Arzua; Congshan Jiang; Yasheng Yan; Xiaowen Bai
Journal:  Neurosci Biobehav Rev       Date:  2021-06-26       Impact factor: 9.052

10.  A generative network model of neurodevelopmental diversity in structural brain organization.

Authors:  Danyal Akarca; Petra E Vértes; Edward T Bullmore; Duncan E Astle
Journal:  Nat Commun       Date:  2021-07-09       Impact factor: 14.919

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