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(Un)common space in infant neuroimaging studies: A systematic review of infant templates

In neuroimaging, spatial normalization is an important step that maps an individual's brain onto a template brain permitting downstream statistical analyses. Yet, in infant neuroimaging, there remain several technical challenges that have prevented the establishment of a standardized template f...

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Autores principales: Dufford, Alexander J., Hahn, C. Alice, Peterson, Hannah, Gini, Silvia, Mehta, Saloni, Alfano, Alexis, Scheinost, Dustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120551/
https://www.ncbi.nlm.nih.gov/pubmed/35261126
http://dx.doi.org/10.1002/hbm.25816
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author Dufford, Alexander J.
Hahn, C. Alice
Peterson, Hannah
Gini, Silvia
Mehta, Saloni
Alfano, Alexis
Scheinost, Dustin
author_facet Dufford, Alexander J.
Hahn, C. Alice
Peterson, Hannah
Gini, Silvia
Mehta, Saloni
Alfano, Alexis
Scheinost, Dustin
author_sort Dufford, Alexander J.
collection PubMed
description In neuroimaging, spatial normalization is an important step that maps an individual's brain onto a template brain permitting downstream statistical analyses. Yet, in infant neuroimaging, there remain several technical challenges that have prevented the establishment of a standardized template for spatial normalization. Thus, many different approaches are used in the literature. To quantify the popularity and variability of these approaches in infant neuroimaging studies, we performed a systematic review of infant magnetic resonance imaging (MRI) studies from 2000 to 2020. Here, we present results from 834 studies meeting inclusion criteria. Studies were classified into (a) processing data in single subject space, (b) using an off the shelf, or “off the shelf,” template, (c) creating a study specific template, or (d) using a hybrid of these methods. We found that across the studies in the systematic review, single subject space was the most used (no common space). This was the most used common space for diffusion‐weighted imaging and structural MRI studies while functional MRI studies preferred off the shelf atlases. We found a pattern such that more recently published studies are more commonly using off the shelf atlases. When considering special populations, preterm studies most used single subject space while, when no special populations were being analyzed, an off the shelf template was most common. The most used off the shelf templates were the UNC Infant Atlases (24%). Using a systematic review of infant neuroimaging studies, we highlight a lack of an established “standard” template brain in these studies.
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spelling pubmed-91205512022-05-21 (Un)common space in infant neuroimaging studies: A systematic review of infant templates Dufford, Alexander J. Hahn, C. Alice Peterson, Hannah Gini, Silvia Mehta, Saloni Alfano, Alexis Scheinost, Dustin Hum Brain Mapp Review Article In neuroimaging, spatial normalization is an important step that maps an individual's brain onto a template brain permitting downstream statistical analyses. Yet, in infant neuroimaging, there remain several technical challenges that have prevented the establishment of a standardized template for spatial normalization. Thus, many different approaches are used in the literature. To quantify the popularity and variability of these approaches in infant neuroimaging studies, we performed a systematic review of infant magnetic resonance imaging (MRI) studies from 2000 to 2020. Here, we present results from 834 studies meeting inclusion criteria. Studies were classified into (a) processing data in single subject space, (b) using an off the shelf, or “off the shelf,” template, (c) creating a study specific template, or (d) using a hybrid of these methods. We found that across the studies in the systematic review, single subject space was the most used (no common space). This was the most used common space for diffusion‐weighted imaging and structural MRI studies while functional MRI studies preferred off the shelf atlases. We found a pattern such that more recently published studies are more commonly using off the shelf atlases. When considering special populations, preterm studies most used single subject space while, when no special populations were being analyzed, an off the shelf template was most common. The most used off the shelf templates were the UNC Infant Atlases (24%). Using a systematic review of infant neuroimaging studies, we highlight a lack of an established “standard” template brain in these studies. John Wiley & Sons, Inc. 2022-03-09 /pmc/articles/PMC9120551/ /pubmed/35261126 http://dx.doi.org/10.1002/hbm.25816 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Dufford, Alexander J.
Hahn, C. Alice
Peterson, Hannah
Gini, Silvia
Mehta, Saloni
Alfano, Alexis
Scheinost, Dustin
(Un)common space in infant neuroimaging studies: A systematic review of infant templates
title (Un)common space in infant neuroimaging studies: A systematic review of infant templates
title_full (Un)common space in infant neuroimaging studies: A systematic review of infant templates
title_fullStr (Un)common space in infant neuroimaging studies: A systematic review of infant templates
title_full_unstemmed (Un)common space in infant neuroimaging studies: A systematic review of infant templates
title_short (Un)common space in infant neuroimaging studies: A systematic review of infant templates
title_sort (un)common space in infant neuroimaging studies: a systematic review of infant templates
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120551/
https://www.ncbi.nlm.nih.gov/pubmed/35261126
http://dx.doi.org/10.1002/hbm.25816
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