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The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Medical Research Council UK (MR/V002465/1). This work was supported by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the National Institute for Health and Care Research (NIHR) Clinical Research Facility at Guy's and St Thomas' NHS Foundation Trust. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care.

Analysis of institutional authors

Cordero-Grande, LucilioAuthor

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June 3, 2025
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Article

Verifying the concordance between motion corrected and conventional MPRAGE for pediatric morphometric analysis

Publicated to:Frontiers In Neuroscience. 19 1534924- - 2025-05-09 19(), DOI: 10.3389/fnins.2025.1534924

Authors: Gal-Er, Barat; Brackenier, Yannick; Bonthrone, Alexandra F; Casella, Chiara; Price, Anthony; Arulkumaran, Sophie; Chew, Andrew T M; Nosarti, Chiara; Cleri, Michela; Di Cio, Pierluigi; Egloff, Alexia; Rutherford, Mary A; O'Muircheartaigh, Jonathan; Tomi-Tricot, Raphael; Malik, Shaihan; Cordero-Grande, Lucilio; Hajnal, Joseph V; Counsell, Serena J

Affiliations

Guys & St Thomas NHS Fdn Trust, London, England - Author
ISCIII, CIBER BNN, Madrid, Spain - Author
Kings Coll London, Ctr Developing Brain, Sch Biomed Engn & Imaging Sci, Res Dept Early Life Imaging, London, England - Author
Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Forens & Neurodev Sci, London, England - Author
Kings Coll London, Sch Biomed Engn & Imaging Sci, Res Dept Imaging Phys & Engn, London, England - Author
Siemens Healthcare Ltd, MR Res Collaborat, Camberley, England - Author
Univ Politecn Madrid, Biomed Image Technol, ETSI Telecomun, Madrid, Spain - Author
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Abstract

Purpose This study aimed to validate a retrospective motion correction technique, Distributed and Incoherent Sample Orders for Reconstruction Deblurring using Encoding Redundancy (DISORDER), for pediatric brain morphometry.Methods Two T1-weighted MPRAGE 3D datasets were acquired at 3 T in thirty-seven children aged 7-8 years: one with conventional linear phase encoding and one using DISORDER. MPRAGE images were scored as motion-free or motion-corrupt. Cortical morphometry and regional brain volumes were measured with FreeSurfer, subcortical grey matter (GM) with FSL-FIRST, and hippocampi with HippUnfold. Intraclass correlation coefficient (ICC) was used to determine agreement. Mann-Whitney U was used to test the difference between measures obtained using DISORDER and (i) motion-free and (ii) motion-corrupt conventional MPRAGE data.Results ICC measures between conventional MPRAGE and DISORDER data were good/excellent for most subcortical GM (motion-free, 0.75-0.96; motion-corrupt, 0.62-0.98) and regional brain volumes (motion-free 0.47-0.99; motion-corrupt, 0.54-0.99), except for the amygdala and nucleus accumbens (motion-free, 0.38-0.65; motion-corrupt, 0.1-0.42). These values were less consistent for motion-corrupt conventional MPRAGE data for hippocampal volumes (motion-free 0.65-0.99; motion-corrupt, 0.11-0.91) and cortical measures (motion-free 0.76-0.98; motion-corrupt, 0.09-0.74). Mann-Whitney U showed percentage differences in measures obtained with motion-corrupt conventional MPRAGE compared to DISORDER data were significantly greater than in those obtained using motion-free conventional MPRAGE data in 22/58 structures.Conclusion In the absence of motion, morphometric measures obtained using DISORDER are largely consistent with those from conventional MPRAGE data, whereas improved reliability is obtained by DISORDER for motion-degraded scans. This study validates the use of DISORDER for brain morphometric studies in children.

Keywords

BrainChildrenMorphometrMorphometryMotion correctionMriPediatricReliabilitySegmentationSurface-based analysisVolume

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Frontiers In Neuroscience due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 129/310, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Neurosciences. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría .

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-03:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 1.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United Kingdom.