Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry
IntroductionDespite established knowledge on the morphological and functional asymmetries in the human brain, the understanding of how brain asymmetry patterns change during late fetal to neonatal life remains incomplete. The goal of this study was to characterize the dynamic patterns of inter-hemis...
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1252850/full |
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| author | Céline Steger Céline Steger Céline Steger Céline Steger Charles Moatti Charles Moatti Kelly Payette Kelly Payette Alexandra De Silvestro Alexandra De Silvestro Alexandra De Silvestro Thi Dao Nguyen Seline Coraj Ninib Yakoub Giancarlo Natalucci Giancarlo Natalucci Raimund Kottke Ruth Tuura Ruth Tuura Walter Knirsch Walter Knirsch Andras Jakab Andras Jakab Andras Jakab |
| author_facet | Céline Steger Céline Steger Céline Steger Céline Steger Charles Moatti Charles Moatti Kelly Payette Kelly Payette Alexandra De Silvestro Alexandra De Silvestro Alexandra De Silvestro Thi Dao Nguyen Seline Coraj Ninib Yakoub Giancarlo Natalucci Giancarlo Natalucci Raimund Kottke Ruth Tuura Ruth Tuura Walter Knirsch Walter Knirsch Andras Jakab Andras Jakab Andras Jakab |
| author_sort | Céline Steger |
| collection | DOAJ |
| description | IntroductionDespite established knowledge on the morphological and functional asymmetries in the human brain, the understanding of how brain asymmetry patterns change during late fetal to neonatal life remains incomplete. The goal of this study was to characterize the dynamic patterns of inter-hemispheric brain asymmetry over this critically important developmental stage using longitudinally acquired MRI scans.MethodsSuper-resolution reconstructed T2-weighted MRI of 20 neurotypically developing participants were used, and for each participant fetal and neonatal MRI was acquired. To quantify brain morphological changes, deformation-based morphometry (DBM) on the longitudinal MRI scans was utilized. Two registration frameworks were evaluated and used in our study: (A) fetal to neonatal image registration and (B) registration through a mid-time template. Developmental changes of cerebral asymmetry were characterized as (A) the inter-hemispheric differences of the Jacobian determinant (JD) of fetal to neonatal morphometry change and the (B) time-dependent change of the JD capturing left-right differences at fetal or neonatal time points. Left-right and fetal-neonatal differences were statistically tested using multivariate linear models, corrected for participants’ age and sex and using threshold-free cluster enhancement.ResultsFetal to neonatal morphometry changes demonstrated asymmetry in the temporal pole, and left-right asymmetry differences between fetal and neonatal timepoints revealed temporal changes in the temporal pole, likely to go from right dominant in fetal to a bilateral morphology in neonatal timepoint. Furthermore, the analysis revealed right-dominant subcortical gray matter in neonates and three clusters of increased JD values in the left hemisphere from fetal to neonatal timepoints.DiscussionWhile these findings provide evidence that morphological asymmetry gradually emerges during development, discrepancies between registration frameworks require careful considerations when using DBM for longitudinal data of early brain development. |
| first_indexed | 2024-03-09T02:37:14Z |
| format | Article |
| id | doaj.art-30128692ee6248d0bccf73455d462e20 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-03-09T02:37:14Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neuroscience |
| spelling | doaj.art-30128692ee6248d0bccf73455d462e202023-12-06T08:23:41ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-12-011710.3389/fnins.2023.12528501252850Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometryCéline Steger0Céline Steger1Céline Steger2Céline Steger3Charles Moatti4Charles Moatti5Kelly Payette6Kelly Payette7Alexandra De Silvestro8Alexandra De Silvestro9Alexandra De Silvestro10Thi Dao Nguyen11Seline Coraj12Ninib Yakoub13Giancarlo Natalucci14Giancarlo Natalucci15Raimund Kottke16Ruth Tuura17Ruth Tuura18Walter Knirsch19Walter Knirsch20Andras Jakab21Andras Jakab22Andras Jakab23Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandPediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandNeuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology, Zurich, SwitzerlandCenter for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandDepartment of Information Technology and Electrical Engineering, ETH Zurich, Zurich, SwitzerlandCenter for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandCenter for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandPediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandNewborn Research, Department of Neonatology, University of Zurich and University Hospital Zurich, Zurich, SwitzerlandLarsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, SwitzerlandLarsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, SwitzerlandNewborn Research, Department of Neonatology, University of Zurich and University Hospital Zurich, Zurich, SwitzerlandLarsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, SwitzerlandDepartment of Diagnostic Imaging, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandCenter for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandPediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandCenter for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, SwitzerlandChildren’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, SwitzerlandNeuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology, Zurich, SwitzerlandIntroductionDespite established knowledge on the morphological and functional asymmetries in the human brain, the understanding of how brain asymmetry patterns change during late fetal to neonatal life remains incomplete. The goal of this study was to characterize the dynamic patterns of inter-hemispheric brain asymmetry over this critically important developmental stage using longitudinally acquired MRI scans.MethodsSuper-resolution reconstructed T2-weighted MRI of 20 neurotypically developing participants were used, and for each participant fetal and neonatal MRI was acquired. To quantify brain morphological changes, deformation-based morphometry (DBM) on the longitudinal MRI scans was utilized. Two registration frameworks were evaluated and used in our study: (A) fetal to neonatal image registration and (B) registration through a mid-time template. Developmental changes of cerebral asymmetry were characterized as (A) the inter-hemispheric differences of the Jacobian determinant (JD) of fetal to neonatal morphometry change and the (B) time-dependent change of the JD capturing left-right differences at fetal or neonatal time points. Left-right and fetal-neonatal differences were statistically tested using multivariate linear models, corrected for participants’ age and sex and using threshold-free cluster enhancement.ResultsFetal to neonatal morphometry changes demonstrated asymmetry in the temporal pole, and left-right asymmetry differences between fetal and neonatal timepoints revealed temporal changes in the temporal pole, likely to go from right dominant in fetal to a bilateral morphology in neonatal timepoint. Furthermore, the analysis revealed right-dominant subcortical gray matter in neonates and three clusters of increased JD values in the left hemisphere from fetal to neonatal timepoints.DiscussionWhile these findings provide evidence that morphological asymmetry gradually emerges during development, discrepancies between registration frameworks require careful considerations when using DBM for longitudinal data of early brain development.https://www.frontiersin.org/articles/10.3389/fnins.2023.1252850/fullbrain asymmetrymagnetic resonance imaging (MRI)fetal brainneonatal brainDBM = deformation-based morphometrylongitudinal |
| spellingShingle | Céline Steger Céline Steger Céline Steger Céline Steger Charles Moatti Charles Moatti Kelly Payette Kelly Payette Alexandra De Silvestro Alexandra De Silvestro Alexandra De Silvestro Thi Dao Nguyen Seline Coraj Ninib Yakoub Giancarlo Natalucci Giancarlo Natalucci Raimund Kottke Ruth Tuura Ruth Tuura Walter Knirsch Walter Knirsch Andras Jakab Andras Jakab Andras Jakab Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry Frontiers in Neuroscience brain asymmetry magnetic resonance imaging (MRI) fetal brain neonatal brain DBM = deformation-based morphometry longitudinal |
| title | Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry |
| title_full | Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry |
| title_fullStr | Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry |
| title_full_unstemmed | Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry |
| title_short | Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry |
| title_sort | characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation based morphometry |
| topic | brain asymmetry magnetic resonance imaging (MRI) fetal brain neonatal brain DBM = deformation-based morphometry longitudinal |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1252850/full |
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