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      Mapping corpus callosum surface reduction in fetal alcohol spectrum disorders with sulci and connectivity-based parcellation

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          Abstract

          Introduction

          Fetal alcohol spectrum disorders (FASD) range from fetal alcohol syndrome (FAS) to non-syndromic non-specific forms (NS-FASD) that are still underdiagnosed and could benefit from new neuroanatomical markers. The main neuroanatomical manifestation of prenatal alcohol exposure on developmental toxicity is the reduction in brain size, but repeated imaging observations have long driven the attention on the corpus callosum (CC), without being all convergent. Our study proposed a new segmentation of the CC that relies on both a sulci-based cortical segmentation and the “hemispherotopic” organization of the transcallosal fibers.

          Methods

          We collected a monocentric series of 37 subjects with FAS, 28 with NS-FASD, and 38 with typical development (6 to 25 years old) using brain MRI (1.5T). Associating T1- and diffusion-weighted imaging, we projected a sulci-based cortical segmentation of the hemispheres on the midsagittal section of the CC, resulting in seven homologous anterior–posterior parcels (frontopolar, anterior and posterior prefrontal, precentral, postcentral, parietal, and occipital). We measured the effect of FASD on the area of callosal and cortical parcels by considering age, sex, and brain size as linear covariates. The surface proportion of the corresponding cortical parcel was introduced as an additional covariate. We performed a normative analysis to identify subjects with an abnormally small parcel.

          Results

          All callosal and cortical parcels were smaller in the FASD group compared with controls. When accounting for age, sex, and brain size, only the postcentral (η 2 = 6.5%, p FDR = 0.032) callosal parcel and % of the cortical parcel (η 2 = 8.9%, p FDR = 0.007) were still smaller. Adding the surface proportion (%) of the corresponding cortical parcel to the model, only the occipital parcel was persistently reduced in the FASD group (η 2 = 5.7%, p FDR = 0.014). In the normative analysis, we found an excess of subjects with FASD with abnormally small precentral and postcentral (peri-isthmic) and posterior–splenial parcels (p FDR < 0.05).

          Conclusion

          The objective sulcal and connectivity-based method of CC parcellation proved to be useful not only in confirming posterior–splenial damage in FASD but also in the narrowing of the peri-isthmic region strongly associated with a specific size reduction in the corresponding postcentral cortical region (postcentral gyrus). The normative analysis showed that this type of callosal segmentation could provide a clinically relevant neuroanatomical endophenotype, even in NS-FASD.

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          Most cited references75

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

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            FSL.

            FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB, Oxford. For this NeuroImage special issue on "20 years of fMRI" we have been asked to write about the history, developments and current status of FSL. We also include some descriptions of parts of FSL that are not well covered in the existing literature. We hope that some of this content might be of interest to users of FSL, and also maybe to new research groups considering creating, releasing and supporting new software packages for brain image analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
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              An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

              In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal–Tanner gradients on a 3 T Siemens Verio, a 3 T Siemens Connectome Skyra or a 7 T Siemens Magnetome scanner) and that a higher order model performs significantly better. The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                09 June 2023
                2023
                : 17
                : 1188367
                Affiliations
                [1] 1UNIACT, NeuroSpin, Frederic Joliot Institute, Centre d'études de Saclay, CEA Paris-Saclay , Gif-sur-Yvette, France
                [2] 2InDEV, NeuroDiderot, Inserm, Université Paris Cité , Paris, France
                [3] 3Institut de Neurosciences de La Timone, CNRS, Aix-Marseille Université , Marseille, France
                [4] 4Department of Child and Adolescent Psychiatry, Robert-Debré Hospital, AP-HP, Centre of Excellence InovAND , Paris, France
                [5] 5Department of Pediatric Radiologic, Robert-Debré Hospital, AP-HP, Centre of Excellence InovAND , Paris, France
                [6] 6Department of Genetics, Robert-Debré Hospital, AP-HP, Centre de Référence Déficiences Intellectuelles de Causes Rares, Centre of Excellence InovAND , Paris, France
                Author notes

                Edited by: Kirsten A. Donald, University of Cape Town, South Africa

                Reviewed by: Anish Kumar Simhal, Memorial Sloan Kettering Cancer Center, United States; Lijia Zhang, Duke University, United States

                *Correspondence: Justine Fraize justine.fraize@ 123456inserm.fr

                †These authors have contributed equally to this work

                Article
                10.3389/fnins.2023.1188367
                10288872
                37360177
                3cecf649-f209-429d-8863-94de68ea5bf0
                Copyright © 2023 Fraize, Convert, Leprince, Sylvestre-Marconville, Kerdreux, Auzias, Lefèvre, Delorme, Elmaleh-Bergès, Hertz-Pannier and Germanaud.

                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
                : 17 March 2023
                : 17 May 2023
                Page count
                Figures: 6, Tables: 4, Equations: 4, References: 76, Pages: 14, Words: 10953
                Funding
                Funded by: Agence Nationale de la Recherche, doi 10.13039/501100001665;
                Award ID: ANR-19-CE17-0028-01
                Funded by: Institut pour la Recherche en Santé Publique, doi 10.13039/501100020320;
                Award ID: IRESP-19-ADDICTIONS-08
                This study was supported by the French National Agency for Research (ANR-19-CE17-0028-01) and the French National Institute for Public Health Research (IRESP-19-ADDICTIONS-08).
                Categories
                Neuroscience
                Original Research
                Custom metadata
                Neurodevelopment

                Neurosciences
                fetal alcohol spectrum disorder (fasd),corpus callosum,segmentation,cortical sulci,connectivity,microcephaly

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