Assessment of normal myelination in infants and young children using the T1w/T2w mapping technique
White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children. Ninety-four patients (0-23 months of age) without structural abnormalities on brain MRI were evalua...
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| Vydáno v: | Frontiers in neuroscience Ročník 17; s. 1102691 |
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| Jazyk: | angličtina |
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Frontiers Research Foundation
28.02.2023
Frontiers Media S.A |
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| ISSN: | 1662-453X, 1662-4548, 1662-453X |
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| Abstract | White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children.
Ninety-four patients (0-23 months of age) without structural abnormalities on brain MRI were evaluated by using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2
order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months).
T1w/T2w ratio values rapidly increased in the first 6-9 months of life and then slowed thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects' age (
= 0.7-0.9,
< 0.001). Within all of the analyzed regions, there were non-linear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Regions such as the splenium and the genu of the corpus callosum showed the highest R
values, thus indicating less scattering of data and a better fit to the model.
The T1w/T2w mapping technique may enhance our diagnostic ability to assess myelination patterns in the brains of infants and young children. |
|---|---|
| AbstractList | White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children.BackgroundWhite matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children.Ninety-four patients (0-23 months of age) without structural abnormalities on brain MRI were evaluated by using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2nd order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months).MethodsNinety-four patients (0-23 months of age) without structural abnormalities on brain MRI were evaluated by using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2nd order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months).T1w/T2w ratio values rapidly increased in the first 6-9 months of life and then slowed thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects' age (R = 0.7-0.9, p < 0.001). Within all of the analyzed regions, there were non-linear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Regions such as the splenium and the genu of the corpus callosum showed the highest R2 values, thus indicating less scattering of data and a better fit to the model.ResultsT1w/T2w ratio values rapidly increased in the first 6-9 months of life and then slowed thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects' age (R = 0.7-0.9, p < 0.001). Within all of the analyzed regions, there were non-linear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Regions such as the splenium and the genu of the corpus callosum showed the highest R2 values, thus indicating less scattering of data and a better fit to the model.The T1w/T2w mapping technique may enhance our diagnostic ability to assess myelination patterns in the brains of infants and young children.ConclusionThe T1w/T2w mapping technique may enhance our diagnostic ability to assess myelination patterns in the brains of infants and young children. BackgroundWhite matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children.MethodsNinety-four patients (0–23 months of age) without structural abnormalities on brain MRI were evaluated by using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2nd order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months).ResultsT1w/T2w ratio values rapidly increased in the first 6–9 months of life and then slowed thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects’ age (R = 0.7–0.9, p < 0.001). Within all of the analyzed regions, there were non-linear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Regions such as the splenium and the genu of the corpus callosum showed the highest R2 values, thus indicating less scattering of data and a better fit to the model.ConclusionThe T1w/T2w mapping technique may enhance our diagnostic ability to assess myelination patterns in the brains of infants and young children. Background: White matter myelination is a crucial process of CNS maturation. The purpose of the study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children. Methods: Ninety-four patients (0-23 months of age) without structural abnormalities on the brain MRI were evaluated using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects the white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2nd order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months). Results: T1w/T2w ratio values increased rapidly in the first 6-9 months of life, then slower thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects' age (R=0.7-0.9, p < 0.001). Within all analyzed regions, there were nonlinear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Such regions as the splenium and the genu of the corpus callosum showed the highest R2 values, indicating less data scatter and a better fit to the model. Conclusion: The T1w/T2w mapping technique may enhance our diagnostic ability to assessment myelination patterns in infants and young children’s brain. White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination assessment in infants and young children. Ninety-four patients (0-23 months of age) without structural abnormalities on brain MRI were evaluated by using the T1w/T2w mapping method. The T1w/T2w signal intensity ratio, which reflects white matter integrity and the degree of myelination, was calculated in various brain regions. We performed a Pearson correlation analysis, a LOESS regression analysis, and a 2 order polynomial regression analysis to describe the relationships between the regional metrics and the age of the patients (in months). T1w/T2w ratio values rapidly increased in the first 6-9 months of life and then slowed thereafter. The T1w/T2w mapping technique emphasized the contrast between myelinated and less myelinated structures in all age groups, which resulted in better visualization. There were strong positive correlations between the T1w/T2w ratio values from the majority of white matter ROIs and the subjects' age ( = 0.7-0.9, < 0.001). Within all of the analyzed regions, there were non-linear relationships between age and T1/T2 ratio values that varied by anatomical and functional location. Regions such as the splenium and the genu of the corpus callosum showed the highest R values, thus indicating less scattering of data and a better fit to the model. The T1w/T2w mapping technique may enhance our diagnostic ability to assess myelination patterns in the brains of infants and young children. |
| Author | Filimonova, Elena Rzaev, Jamil Amelina, Evgenia Sazonova, Aleksandra Zaitsev, Boris |
| AuthorAffiliation | 2 Department of Neurosurgery, Novosibirsk State Medical University , Novosibirsk , Russia 4 Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University , Novosibirsk , Russia 3 Stream Data Analytics and Machine Learning Laboratory, Novosibirsk State University , Novosibirsk , Russia 1 Federal Center of Neurosurgery , Novosibirsk , Russia |
| AuthorAffiliation_xml | – name: 2 Department of Neurosurgery, Novosibirsk State Medical University , Novosibirsk , Russia – name: 4 Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University , Novosibirsk , Russia – name: 1 Federal Center of Neurosurgery , Novosibirsk , Russia – name: 3 Stream Data Analytics and Machine Learning Laboratory, Novosibirsk State University , Novosibirsk , Russia |
| Author_xml | – sequence: 1 givenname: Elena surname: Filimonova fullname: Filimonova, Elena – sequence: 2 givenname: Evgenia surname: Amelina fullname: Amelina, Evgenia – sequence: 3 givenname: Aleksandra surname: Sazonova fullname: Sazonova, Aleksandra – sequence: 4 givenname: Boris surname: Zaitsev fullname: Zaitsev, Boris – sequence: 5 givenname: Jamil surname: Rzaev fullname: Rzaev, Jamil |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36925743$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1002/ANA.25019 10.1002/jmri.24456 10.1007/S00234-008-0488-1 10.1016/J.NEUROIMAGE.2013.03.060 10.1523/JNEUROSCI.2180-11.2011 10.1007/S00247-021-05109-5/FIGURES/5 10.1148/RADIOL.12112420 10.1016/J.NEUROIMAGE.2020.117561 10.3389/fnhum.2014.00671 10.1016/J.NIC.2012.12.001 10.1002/JMRI.25570 10.1002/MRM.25811 10.3389/fnhum.2021.662031 10.3233/BPL-160033 10.1111/JON.12689 10.1002/JMRI.26635 10.1002/BRB3.399 10.1007/s00247-007-0462-9 10.1093/CERCOR/BHAB069 10.1007/3-540-27660-2 |
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| Copyright | Copyright © 2023 Filimonova, Amelina, Sazonova, Zaitsev and Rzaev. 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2023 Filimonova, Amelina, Sazonova, Zaitsev and Rzaev. 2023 Filimonova, Amelina, Sazonova, Zaitsev and Rzaev |
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| Keywords | myelination T1w/T2w mapping magnetic resonance imaging infants children |
| Language | English |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 This article was submitted to Neurodevelopment, a section of the journal Frontiers in Neuroscience Reviewed by: Anna Tietze, Charité – Universitätsmedizin Berlin, Germany; Youyi Liu, Beijing Normal University, China Edited by: Zonglei Zhen, Beijing Normal University, China |
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| Snippet | White matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain myelination... Background: White matter myelination is a crucial process of CNS maturation. The purpose of the study was to validate the T1w/T2w mapping technique for brain... BackgroundWhite matter myelination is a crucial process of CNS maturation. The purpose of this study was to validate the T1w/T2w mapping technique for brain... |
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| SubjectTerms | Age Brain mapping Children Corpus callosum Correlation analysis General anesthesia Infants Magnetic resonance imaging Medical imaging Myelination Neuroimaging Neuroscience Pathology Patients Pediatrics Regression analysis Software Substantia alba T1w/T2w mapping |
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| Title | Assessment of normal myelination in infants and young children using the T1w/T2w mapping technique |
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