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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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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