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      Distinct Neurodevelopmental Trajectories in Groups of Very Preterm Children Screening Positively for Autism Spectrum Conditions

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          Abstract

          Very preterm (VPT; < 33 weeks’ gestation) toddlers screening positively for autism spectrum conditions (ASC) may display heterogenous neurodevelopmental trajectories. Here we studied neonatal brain volumes and childhood ASC traits evaluated with the Social Responsiveness Scale (SRS-2) in VPT-born toddlers (N = 371; median age 20.17 months) sub-divided into three groups based on their Modified-Checklist for Autism in Toddlers scores. These were: those screening positively failing at least 2 critical items ( critical-positive); failing any 3 items, but less than 2 critical items ( non-critical-positive); and screening negatively. Critical-positive scorers had smaller neonatal cerebellar volumes compared to non-critical-positive and negative scorers. However, both positive screening groups exhibited higher childhood ASC traits compared to the negative screening group, suggesting distinct aetiological trajectories associated with ASC outcomes.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10803-022-05789-4.

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              A reproducible evaluation of ANTs similarity metric performance in brain image registration.

              The United States National Institutes of Health (NIH) commit significant support to open-source data and software resources in order to foment reproducibility in the biomedical imaging sciences. Here, we report and evaluate a recent product of this commitment: Advanced Neuroimaging Tools (ANTs), which is approaching its 2.0 release. The ANTs open source software library consists of a suite of state-of-the-art image registration, segmentation and template building tools for quantitative morphometric analysis. In this work, we use ANTs to quantify, for the first time, the impact of similarity metrics on the affine and deformable components of a template-based normalization study. We detail the ANTs implementation of three similarity metrics: squared intensity difference, a new and faster cross-correlation, and voxel-wise mutual information. We then use two-fold cross-validation to compare their performance on openly available, manually labeled, T1-weighted MRI brain image data of 40 subjects (UCLA's LPBA40 dataset). We report evaluation results on cortical and whole brain labels for both the affine and deformable components of the registration. Results indicate that the best ANTs methods are competitive with existing brain extraction results (Jaccard=0.958) and cortical labeling approaches. Mutual information affine mapping combined with cross-correlation diffeomorphic mapping gave the best cortical labeling results (Jaccard=0.669±0.022). Furthermore, our two-fold cross-validation allows us to quantify the similarity of templates derived from different subgroups. Our open code, data and evaluation scripts set performance benchmark parameters for this state-of-the-art toolkit. This is the first study to use a consistent transformation framework to provide a reproducible evaluation of the isolated effect of the similarity metric on optimal template construction and brain labeling. Copyright © 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                chiara.nosarti@kcl.ac.uk
                Journal
                J Autism Dev Disord
                J Autism Dev Disord
                Journal of Autism and Developmental Disorders
                Springer US (New York )
                0162-3257
                1573-3432
                23 October 2022
                23 October 2022
                2024
                : 54
                : 1
                : 256-269
                Affiliations
                [1 ]Centre for the Developing Brain, Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King’s College London, ( https://ror.org/0220mzb33) London, SE1 7EH UK
                [2 ]Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King’s College London, ( https://ror.org/0220mzb33) 16 De Crespigny Park, London, SE5 8AF UK
                [3 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, , University of Oxford, ; Oxford, OX3 9DU UK
                [4 ]Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology and Neuroscience, King’s College London, ( https://ror.org/0220mzb33) London, SE5 8AF UK
                [5 ]Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King’s College London, ( https://ror.org/0220mzb33) London, SE5 8AF UK
                Article
                5789
                10.1007/s10803-022-05789-4
                10791910
                36273367
                0319c374-6e76-4b28-94a4-50b166370765
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 October 2022
                Funding
                Funded by: Medical Research Council, UK
                Award ID: MR/K006355/1
                Award ID: MR/S026460/1
                Award Recipient :
                Funded by: National Institute for Health Research (NIHR)
                Award ID: RP-PG-0707-10154
                Award Recipient :
                Funded by: Action Medical Research and Dangoor Education
                Award ID: GN2606
                Award Recipient :
                Categories
                Original Paper
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2024

                Neurology
                autism spectrum conditions,developmental delay,very preterm birth,structural mri
                Neurology
                autism spectrum conditions, developmental delay, very preterm birth, structural mri

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