Methods and considerations for longitudinal structural brain imaging analysis across development
Magnetic resonance imaging (MRI) has allowed the unprecedented capability to measure the human brain in vivo. This technique has paved the way for longitudinal studies exploring brain changes across the entire life span. Results from these studies have given us a glimpse into the remarkably extended...
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doaj-a182fe6e4ddd4dcb8f62b156d7ee220a2020-11-24T21:24:40ZengElsevierDevelopmental Cognitive Neuroscience1878-92931878-93072014-07-019C17219010.1016/j.dcn.2014.04.004Methods and considerations for longitudinal structural brain imaging analysis across developmentKathryn L. Mills0Christian K. Tamnes1Institute of Cognitive Neuroscience, University College London, London, UKResearch Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, NorwayMagnetic resonance imaging (MRI) has allowed the unprecedented capability to measure the human brain in vivo. This technique has paved the way for longitudinal studies exploring brain changes across the entire life span. Results from these studies have given us a glimpse into the remarkably extended and multifaceted development of our brain, converging with evidence from anatomical and histological studies. Ever-evolving techniques and analytical methods provide new avenues to explore and questions to consider, requiring researchers to balance excitement with caution. This review addresses what MRI studies of structural brain development in children and adolescents typically measure and how. We focus on measurements of brain morphometry (e.g., volume, cortical thickness, surface area, folding patterns), as well as measurements derived from diffusion tensor imaging (DTI). By integrating finding from multiple longitudinal investigations, we give an update on current knowledge of structural brain development and how it relates to other aspects of biological development and possible underlying physiological mechanisms. Further, we review and discuss current strategies in image processing, analysis techniques and modeling of brain development. We hope this review will aid current and future longitudinal investigations of brain development, as well as evoke a discussion amongst researchers regarding best practices.http://www.sciencedirect.com/science/article/pii/S1878929314000310AdolescenceChildhoodDTIMaturationMRIMorphometry |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kathryn L. Mills Christian K. Tamnes |
spellingShingle |
Kathryn L. Mills Christian K. Tamnes Methods and considerations for longitudinal structural brain imaging analysis across development Developmental Cognitive Neuroscience Adolescence Childhood DTI Maturation MRI Morphometry |
author_facet |
Kathryn L. Mills Christian K. Tamnes |
author_sort |
Kathryn L. Mills |
title |
Methods and considerations for longitudinal structural brain imaging analysis across development |
title_short |
Methods and considerations for longitudinal structural brain imaging analysis across development |
title_full |
Methods and considerations for longitudinal structural brain imaging analysis across development |
title_fullStr |
Methods and considerations for longitudinal structural brain imaging analysis across development |
title_full_unstemmed |
Methods and considerations for longitudinal structural brain imaging analysis across development |
title_sort |
methods and considerations for longitudinal structural brain imaging analysis across development |
publisher |
Elsevier |
series |
Developmental Cognitive Neuroscience |
issn |
1878-9293 1878-9307 |
publishDate |
2014-07-01 |
description |
Magnetic resonance imaging (MRI) has allowed the unprecedented capability to measure the human brain in vivo. This technique has paved the way for longitudinal studies exploring brain changes across the entire life span. Results from these studies have given us a glimpse into the remarkably extended and multifaceted development of our brain, converging with evidence from anatomical and histological studies. Ever-evolving techniques and analytical methods provide new avenues to explore and questions to consider, requiring researchers to balance excitement with caution. This review addresses what MRI studies of structural brain development in children and adolescents typically measure and how. We focus on measurements of brain morphometry (e.g., volume, cortical thickness, surface area, folding patterns), as well as measurements derived from diffusion tensor imaging (DTI). By integrating finding from multiple longitudinal investigations, we give an update on current knowledge of structural brain development and how it relates to other aspects of biological development and possible underlying physiological mechanisms. Further, we review and discuss current strategies in image processing, analysis techniques and modeling of brain development. We hope this review will aid current and future longitudinal investigations of brain development, as well as evoke a discussion amongst researchers regarding best practices. |
topic |
Adolescence Childhood DTI Maturation MRI Morphometry |
url |
http://www.sciencedirect.com/science/article/pii/S1878929314000310 |
work_keys_str_mv |
AT kathrynlmills methodsandconsiderationsforlongitudinalstructuralbrainimaginganalysisacrossdevelopment AT christianktamnes methodsandconsiderationsforlongitudinalstructuralbrainimaginganalysisacrossdevelopment |
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