2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Cerebellar volume and functional connectivity in neonates predicts social and emotional development in toddlers

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Over the past decade, a growing body of research in adults has emphasized the role of the cerebellum in social and emotional cognition. This has been further supported by findings of delayed social and emotional development in toddlers with cerebellar injury during the fetal and newborn periods. However, the contributions of the cerebellum to social–emotional development in typically developing newborns are unclear. To bridge this gap in knowledge, we used multimodal MRI to investigate associations between cerebellar structure and function in 88 healthy neonates (mean ± sd of postmenstrual age, = 42.00 ± 1.91 weeks) and social–emotional development at 18-months assessed using the Infant-Toddler Social–Emotional Assessment (ITSEA) (mean age on ITSEA: 18.32 ± 1.19 months old). We found that cerebellar volume was not associated with ITSEA domain scores at 18 months. We further demonstrated cerebellar functional gradient (FGR) defined using principal component analysis (PCA) was associated with Externalizing domain (linear regression model, false-discovery-rate-adjusted p = 0.013). This cluster (FGR7) included the left dentate, right VI, left Vermis VIIIb, and right V lobules. Finally, we demonstrated that either structural or functional features of the cerebellum reliably predicted scores on the Externalizing and Internalizing domains (correlation between actual and predicted scores: for structural, Fisher’s z = 0.48 ± 0.01 for Internalizing, p = 0.01; for functional, Fisher’s z = 0.45 ± 0.01 for Externalizing, p = 0.02; with permutation test). Collectively, our findings suggest that the cerebellum plays an important role in social–emotional development during the critical early stages of life.

          Related collections

          Most cited references72

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

            A component based method (CompCor) for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented. In the proposed method, significant principal components are derived from noise regions-of-interest (ROI) in which the time series data are unlikely to be modulated by neural activity. These components are then included as nuisance parameters within general linear models for BOLD and perfusion-based fMRI time series data. Two approaches for the determination of the noise ROI are considered. The first method uses high-resolution anatomical data to define a region of interest composed primarily of white matter and cerebrospinal fluid, while the second method defines a region based upon the temporal standard deviation of the time series data. With the application of CompCor, the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced as compared to either no correction or the application of a previously described retrospective image based correction scheme (RETROICOR). For both functional perfusion and BOLD data, the application of CompCor significantly increased the number of activated voxels as compared to no correction. In addition, for functional BOLD data, there were significantly more activated voxels detected with CompCor as compared to RETROICOR. In comparison to RETROICOR, CompCor has the advantage of not requiring external monitoring of physiological fluctuations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

              C. R. Cox (1996)
              A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. The software can color overlay neural activation maps onto higher resolution anatomical scans. Slices in each cardinal plane can be viewed simultaneously. Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. Facilities are provided for several types of statistical analyses of multiple 3D functional data sets. The programs are written in ANSI C and Motif 1.2 to run on Unix workstations.
                Bookmark

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2723508/overviewRole: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                Role: Role:
                URI : https://loop.frontiersin.org/people/470777/overviewRole: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1697963/overviewRole: Role: Role: Role: Role:
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                01 May 2024
                2024
                : 18
                : 1294527
                Affiliations
                Developing Brain Institute, Children’s National Hospital , Washington, DC, United States
                Author notes

                Edited by: Xiang Li, Massachusetts General Hospital and Harvard Medical School, United States

                Reviewed by: Michael Msall, University of Chicago Medical Center, United States

                Dorela Doris Shuboni-Mulligan, Eastern Virginia Medical School, United States

                Carlos Hernandez-Castillo, Dalhousie University, Canada

                *Correspondence: Josepheen De Asis-Cruz, jocruz@ 123456childrensnational.org
                Article
                10.3389/fnins.2024.1294527
                11097671
                38756409
                c22da4a2-941d-4ace-a3dc-8991d0228335
                Copyright © 2024 Kim, Kapse, Limperopoulos and De Asis-Cruz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 September 2023
                : 19 April 2024
                Page count
                Figures: 4, Tables: 5, Equations: 0, References: 72, Pages: 12, Words: 8785
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by grant T32 5T32HD098066–03 from National Institute of Child Health and Human Development (J-HK), grant R01 HL116585–01 from the National Heart, Lung, and Blood Institute, National Institutes of Health (CL) and grant MOP-81116 from the Canadian Institute of Health Research (CL).
                Categories
                Neuroscience
                Original Research
                Custom metadata
                Brain Imaging Methods

                Neurosciences
                structural mri,functional mri,multimodal study,neonate,cerebellum,itsea
                Neurosciences
                structural mri, functional mri, multimodal study, neonate, cerebellum, itsea

                Comments

                Comment on this article