Structural brain development: A review of methodological approaches and best practices

Continued advances in neuroimaging technologies and statistical modelling capabilities have improved our knowledge of structural brain development in children and adolescents. While this has provided an increasingly nuanced understanding of brain development, the field is still plagued by inconsiste...

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Main Authors: Nandita Vijayakumar, Kathryn L. Mills, Aaron Alexander-Bloch, Christian K. Tamnes, Sarah Whittle
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:Developmental Cognitive Neuroscience
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929317300336
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spelling doaj-eeb1d05e1bb84385a2f4e61dd0ae109d2020-11-25T00:37:39ZengElsevierDevelopmental Cognitive Neuroscience1878-92932018-10-0133129148Structural brain development: A review of methodological approaches and best practicesNandita Vijayakumar0Kathryn L. Mills1Aaron Alexander-Bloch2Christian K. Tamnes3Sarah Whittle4Department of Psychology, University of Oregon, Eugene, USA; Corresponding author.Department of Psychology, University of Oregon, Eugene, USADepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USADepartment of Psychology, University of Oslo, Oslo, NorwayMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, AustraliaContinued advances in neuroimaging technologies and statistical modelling capabilities have improved our knowledge of structural brain development in children and adolescents. While this has provided an increasingly nuanced understanding of brain development, the field is still plagued by inconsistent findings. This review highlights the methodological diversity in existing longitudinal magnetic resonance imaging (MRI) studies on structural brain development during childhood and adolescence, and addresses how such variation might contribute to inconsistencies in the literature. We discuss the impact of method choices at multiple decision points across the research process, from study design and sample selection, to image processing and statistical analysis. We also highlight the extent to which different methodological considerations have been empirically examined, drawing attention to specific areas that would benefit from future investigation. Where appropriate, we recommend certain best practices that would be beneficial for the field to adopt, including greater completeness and transparency in reporting methods, in order to ultimately develop an accurate and detailed understanding of normative child and adolescent brain development. Keywords: Structural MRI, Brain development, Longitudinal analyses, Methodologyhttp://www.sciencedirect.com/science/article/pii/S1878929317300336
collection DOAJ
language English
format Article
sources DOAJ
author Nandita Vijayakumar
Kathryn L. Mills
Aaron Alexander-Bloch
Christian K. Tamnes
Sarah Whittle
spellingShingle Nandita Vijayakumar
Kathryn L. Mills
Aaron Alexander-Bloch
Christian K. Tamnes
Sarah Whittle
Structural brain development: A review of methodological approaches and best practices
Developmental Cognitive Neuroscience
author_facet Nandita Vijayakumar
Kathryn L. Mills
Aaron Alexander-Bloch
Christian K. Tamnes
Sarah Whittle
author_sort Nandita Vijayakumar
title Structural brain development: A review of methodological approaches and best practices
title_short Structural brain development: A review of methodological approaches and best practices
title_full Structural brain development: A review of methodological approaches and best practices
title_fullStr Structural brain development: A review of methodological approaches and best practices
title_full_unstemmed Structural brain development: A review of methodological approaches and best practices
title_sort structural brain development: a review of methodological approaches and best practices
publisher Elsevier
series Developmental Cognitive Neuroscience
issn 1878-9293
publishDate 2018-10-01
description Continued advances in neuroimaging technologies and statistical modelling capabilities have improved our knowledge of structural brain development in children and adolescents. While this has provided an increasingly nuanced understanding of brain development, the field is still plagued by inconsistent findings. This review highlights the methodological diversity in existing longitudinal magnetic resonance imaging (MRI) studies on structural brain development during childhood and adolescence, and addresses how such variation might contribute to inconsistencies in the literature. We discuss the impact of method choices at multiple decision points across the research process, from study design and sample selection, to image processing and statistical analysis. We also highlight the extent to which different methodological considerations have been empirically examined, drawing attention to specific areas that would benefit from future investigation. Where appropriate, we recommend certain best practices that would be beneficial for the field to adopt, including greater completeness and transparency in reporting methods, in order to ultimately develop an accurate and detailed understanding of normative child and adolescent brain development. Keywords: Structural MRI, Brain development, Longitudinal analyses, Methodology
url http://www.sciencedirect.com/science/article/pii/S1878929317300336
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