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+# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
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+# For detailed schema description see https://doi.org/10.5438/0014
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+
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+## Required fields
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+
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+# The main researchers involved. Include digital identifier (e.g., ORCID)
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+# if possible, including the prefix to indicate its type.
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+authors:
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+ -
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+ firstname: "Vycheslav"
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+ lastname: "Karolis"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Logan"
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+ lastname: "Williams"
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+ affiliation: "School of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK"
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+ -
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+ firstname: "Vanessa"
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+ lastname: "Kyriakopoulou"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Jelena"
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+ lastname: "Bozek"
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+ affiliation: "University of Zagreb, Zagreb, Croatia"
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+ -
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+ firstname: "Alena"
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+ lastname: "Uus"
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+ affiliation: "School of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK"
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+ -
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+ firstname: "Antonios"
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+ lastname: "Makropoulos"
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+ affiliation: "ThinkSono, London, United Kingdom"
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+ -
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+ firstname: "Andreas"
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+ lastname: "Schuh"
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+ affiliation: "Department of Computing, Imperial College London, London, UK"
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+ -
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+ firstname: "Lucilio"
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+ lastname: "Cordero Grande"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Emer"
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+ lastname: "Hughes"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Anthony"
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+ lastname: "Price"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Maria"
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+ lastname: "Deprez"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Mary"
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+ lastname: "Rutherford"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "A. David"
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+ lastname: "Edwards"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Daniel"
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+ lastname: "Rueckert"
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+ affiliation: "Klinikum rechts der Isar, Technical University of Munich, Munich, Germany"
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+ -
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+ firstname: "Stephen"
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+ lastname: "Smith"
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+ affiliation: "FMRIB, University of Oxford, Oxford, UK"
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+ -
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+ firstname: "Joseph"
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+ lastname: "Hajnal"
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+ affiliation: "School of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK"
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+ -
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+ firstname: "Tomoki"
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+ lastname: "Arichi"
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+ affiliation: "Centre for the Developing Brain, King’s College London, London, UK"
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+ -
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+ firstname: "Emma"
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+ lastname: "Robinson"
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+ affiliation: "School of Imaging Sciences & Biomedical Engineering, King’s College London, London, UK"
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+
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+# A title to describe the published resource.
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+title: "Developing Human Connectome Project spatio-temporal surface atlas of the fetal brain"
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+
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+# Additional information about the resource, e.g., a brief abstract.
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+description: |
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+ This repository contains spatio-temporal surface atlas, spanning 21-36 weeks of gestation,
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+ generated by adapting the procedure developed for the neonatal surface atlas in Bozek et al., 2018,
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+ which iteratively refines templates through a repeated alignment of individuals to a common space
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+ using MSM algorithm to the fetal data. At each iteration, the age-specific templates are obtained
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+ through weighted averaging of co-registered surfaces, whereby weights are defined by the Gaussians
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+ centred on the gestational weeks for which templates are calculated, and are subsequently used as a
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+ target space for the following iteration. Adaptive kernel regression, compensating for a difference
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+ in the number of scans available for different ages, was used to parameterise the width of the Gaussians.
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+ The atlas was generated in three stages: first, a common reference space was initialised via affine
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+ sulcal-depth-based registration to the dHCP neonatal GW36 template. At the next iteration, the template
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+ was refined using sulcal-depth-based nonlinear alignment, followed by 4 iterations of curvature-based
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+ alignment (a more fine-grained feature than the sulcal depth).
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+
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+# Lit of keywords the resource should be associated with.
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+# Give as many keywords as possible, to make the resource findable.
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+keywords:
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+ - Surface atlas
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+ - Fetal MRI
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+ - Template
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+ - Brain development
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+
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+# License information for this resource. Please provide the license name and/or a link to the license.
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+# Please add also a corresponding LICENSE file to the repository.
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+license:
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+ name: "Creative Commons CC0 1.0 Public Domain Dedication"
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+ url: "https://creativecommons.org/publicdomain/zero/1.0/"
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+
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+
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+
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+## Optional Fields
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+
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+# Funding information for this resource.
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+# Separate funder name and grant number by comma.
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+funding:
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+ - "European Union's Seventh Framework Programme (FP/2007-2013), 319456"
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+
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+# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
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+# Please provide digital identifier (e.g., DOI) if possible.
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+# Add a prefix to the ID, separated by a colon, to indicate the source.
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+# Supported sources are: DOI, arXiv, PMID
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+# In the citation field, please provide the full reference, including title, authors, journal etc.
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+references:
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+ -
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+ id: "doi:10.1016/j.neuroimage.2018.06.018"
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+ reftype: "IsSupplementTo"
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+ citation: "J. Bozek, A. Makropoulos, A. Schuh, S. Fitzgibbon, R. Wright, M. F. Glasser, T. S. Coalson, J. O’Muircheartaigh, J. Hutter, A. N. Price, L. Cordero-Grande, R. P. A. G. Teixeira, E. Hughes, N. Tusor, K. P. Baruteau, M. A. Rutherford, A. D. Edwards, J. V. Hajnal, S. M. Smith, D. Rueckert, M. Jenkinson, E. C. Robinson. (2018). Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. NeuroImage. 179, 11–29"
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+
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+# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
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+resourcetype: Dataset
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+
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+# Do not edit or remove the following line
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+templateversion: 1.2
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