Literature DB >> 31313446

Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.

Gareth Ball1, Richard Beare1, Marc L Seal1,2.   

Abstract

The cortex is organised into broadly hierarchical functional systems with distinct neuroanatomical characteristics reflected by macroscopic measures of cortical morphology. Diffusion-weighted magnetic resonance imaging allows the delineation of areal connectivity, changes to which reflect the ongoing maturation of white matter tracts. These developmental processes are intrinsically linked with timing coincident with the development of cognitive function. In this study, we use a data-driven multivariate approach, nonnegative matrix factorisation, to define cortical regions that co-vary together across a large paediatric cohort (n = 456) and are associated with specific subnetworks of cortical connectivity. We find that age between 3 and 21 years is associated with accelerated cortical thinning in frontoparietal regions, whereas relative thinning of primary motor and sensory regions is slower. Together, the subject-specific weights of the derived set of cortical components can be combined to predict chronological age. Structural connectivity networks reveal a relative increase in strength in connection within, as opposed to between hemispheres that vary in line with cortical changes. We confirm our findings in an independent sample.
© 2019 Wiley Periodicals, Inc.

Keywords:  brain development; connectivity; cortex; diffusion MRI; magnetic resonance imaging; matrix factorisation; multivariate

Mesh:

Year:  2019        PMID: 31313446      PMCID: PMC6865644          DOI: 10.1002/hbm.24726

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  77 in total

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Authors:  Hugo G Schnack; Neeltje E M van Haren; Rachel M Brouwer; G Caroline M van Baal; Marco Picchioni; Matthias Weisbrod; Heinrich Sauer; Tyrone D Cannon; Matti Huttunen; Claude Lepage; D Louis Collins; Alan Evans; Robin M Murray; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2010-04-16       Impact factor: 5.038

2.  Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.

Authors:  Gareth Ball; Richard Beare; Marc L Seal
Journal:  Hum Brain Mapp       Date:  2019-07-16       Impact factor: 5.038

3.  Patterns of coordinated cortical remodeling during adolescence and their associations with functional specialization and evolutionary expansion.

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Journal:  Neuroimage       Date:  2019-01-21       Impact factor: 6.556

Review 5.  The development of brain white matter microstructure.

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Journal:  Neuroimage       Date:  2018-01-03       Impact factor: 6.556

6.  Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.

Authors:  Graham L Baum; Rastko Ciric; David R Roalf; Richard F Betzel; Tyler M Moore; Russell T Shinohara; Ari E Kahn; Simon N Vandekar; Petra E Rupert; Megan Quarmley; Philip A Cook; Mark A Elliott; Kosha Ruparel; Raquel E Gur; Ruben C Gur; Danielle S Bassett; Theodore D Satterthwaite
Journal:  Curr Biol       Date:  2017-05-25       Impact factor: 10.834

7.  Neuroanatomical assessment of biological maturity.

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9.  Modelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding.

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  10 in total

1.  Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.

Authors:  Gareth Ball; Richard Beare; Marc L Seal
Journal:  Hum Brain Mapp       Date:  2019-07-16       Impact factor: 5.038

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Review 6.  Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders.

Authors:  Lea L Backhausen; Megan M Herting; Christian K Tamnes; Nora C Vetter
Journal:  Neuropsychol Rev       Date:  2021-04-24       Impact factor: 6.940

7.  Non-negative data-driven mapping of structural connections with application to the neonatal brain.

Authors:  E Thompson; A R Mohammadi-Nejad; E C Robinson; J L R Andersson; S Jbabdi; M F Glasser; M Bastiani; S N Sotiropoulos
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8.  Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction.

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9.  Distinct influence of parental occupation on cortical thickness and surface area in children and adolescents: Relation to self-esteem.

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10.  Gender-Related and Hemispheric Effects in Cortical Thickness-Based Hemispheric Brain Morphological Network.

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  10 in total

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