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Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders

INTRODUCTION: Fetal alcohol spectrum disorders (FASD) range from fetal alcohol syndrome (FAS) to non-syndromic forms (NS-FASD). The neuroanatomical consequences of prenatal alcohol exposure are mainly the reduction in brain size, but also focal abnormalities such as those of the corpus callosum (CC)...

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Autores principales: Fraize, Justine, Leprince, Yann, Elmaleh-Bergès, Monique, Kerdreux, Eliot, Delorme, Richard, Hertz-Pannier, Lucie, Lefèvre, Julien, Germanaud, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657855/
https://www.ncbi.nlm.nih.gov/pubmed/38027471
http://dx.doi.org/10.3389/fnins.2023.1289013
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author Fraize, Justine
Leprince, Yann
Elmaleh-Bergès, Monique
Kerdreux, Eliot
Delorme, Richard
Hertz-Pannier, Lucie
Lefèvre, Julien
Germanaud, David
author_facet Fraize, Justine
Leprince, Yann
Elmaleh-Bergès, Monique
Kerdreux, Eliot
Delorme, Richard
Hertz-Pannier, Lucie
Lefèvre, Julien
Germanaud, David
author_sort Fraize, Justine
collection PubMed
description INTRODUCTION: Fetal alcohol spectrum disorders (FASD) range from fetal alcohol syndrome (FAS) to non-syndromic forms (NS-FASD). The neuroanatomical consequences of prenatal alcohol exposure are mainly the reduction in brain size, but also focal abnormalities such as those of the corpus callosum (CC). We previously showed a narrowing of the CC for brain size, using manual measurement and its usefulness to improve diagnostic certainty. Our aim was to automate these measurements of the CC and identify more recurrent abnormalities in FAS subjects, independently of brain size reduction. METHODS: We developed a fast, automated, and normalization-free method based on spectral analysis to generate thicknesses of the CC continuously and at singular points (genu, body, isthmus, and splenium), and its length (LCC). We applied it on midsagittal section of the CC extracted from T1-anatomical brain MRI of 89 subjects with FASD (52 FAS, 37 NS-FASD) and 126 with typically development (6–20 y-o). After adjusting for batch effect, we compared the mean profiles and thicknesses of the singular points across the 3 groups. For each parameter, we established variations with age (growth charts) and brain size in the control group (scaling charts), then identified participants with abnormal measurements (<10th percentile). RESULTS: We confirmed the slimming of the posterior half of the CC in both FASD groups, and of the genu section in the FAS group, compared to the control group. We found a significant group effect for the LCC, genu, median body, isthmus, and splenium thicknesses (p < 0.05). We described a body hump whose morphology did not differ between groups. According to the growth charts, there was an excess of FASD subjects with abnormal LCC and isthmus, and of FAS subjects with abnormal genu and splenium. According to the scaling charts, this excess remained only for LCC, isthmus and splenium, undersized for brain size. CONCLUSION: We characterized size-independent anomalies of the posterior part of the CC in FASD, with an automated method, confirming and extending our previous study. Our new tool brings the use of a neuroanatomical criterion including CC damage closer to clinical practice. Our results suggest that an FAS signature identified in NS-FASD, could improve diagnosis specificity.
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spelling pubmed-106578552023-01-01 Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders Fraize, Justine Leprince, Yann Elmaleh-Bergès, Monique Kerdreux, Eliot Delorme, Richard Hertz-Pannier, Lucie Lefèvre, Julien Germanaud, David Front Neurosci Neuroscience INTRODUCTION: Fetal alcohol spectrum disorders (FASD) range from fetal alcohol syndrome (FAS) to non-syndromic forms (NS-FASD). The neuroanatomical consequences of prenatal alcohol exposure are mainly the reduction in brain size, but also focal abnormalities such as those of the corpus callosum (CC). We previously showed a narrowing of the CC for brain size, using manual measurement and its usefulness to improve diagnostic certainty. Our aim was to automate these measurements of the CC and identify more recurrent abnormalities in FAS subjects, independently of brain size reduction. METHODS: We developed a fast, automated, and normalization-free method based on spectral analysis to generate thicknesses of the CC continuously and at singular points (genu, body, isthmus, and splenium), and its length (LCC). We applied it on midsagittal section of the CC extracted from T1-anatomical brain MRI of 89 subjects with FASD (52 FAS, 37 NS-FASD) and 126 with typically development (6–20 y-o). After adjusting for batch effect, we compared the mean profiles and thicknesses of the singular points across the 3 groups. For each parameter, we established variations with age (growth charts) and brain size in the control group (scaling charts), then identified participants with abnormal measurements (<10th percentile). RESULTS: We confirmed the slimming of the posterior half of the CC in both FASD groups, and of the genu section in the FAS group, compared to the control group. We found a significant group effect for the LCC, genu, median body, isthmus, and splenium thicknesses (p < 0.05). We described a body hump whose morphology did not differ between groups. According to the growth charts, there was an excess of FASD subjects with abnormal LCC and isthmus, and of FAS subjects with abnormal genu and splenium. According to the scaling charts, this excess remained only for LCC, isthmus and splenium, undersized for brain size. CONCLUSION: We characterized size-independent anomalies of the posterior part of the CC in FASD, with an automated method, confirming and extending our previous study. Our new tool brings the use of a neuroanatomical criterion including CC damage closer to clinical practice. Our results suggest that an FAS signature identified in NS-FASD, could improve diagnosis specificity. Frontiers Media S.A. 2023-11-06 /pmc/articles/PMC10657855/ /pubmed/38027471 http://dx.doi.org/10.3389/fnins.2023.1289013 Text en Copyright © 2023 Fraize, Leprince, Elmaleh-Bergès, Kerdreux, Delorme, Hertz-Pannier, Lefèvre and Germanaud. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Neuroscience
Fraize, Justine
Leprince, Yann
Elmaleh-Bergès, Monique
Kerdreux, Eliot
Delorme, Richard
Hertz-Pannier, Lucie
Lefèvre, Julien
Germanaud, David
Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title_full Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title_fullStr Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title_full_unstemmed Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title_short Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
title_sort spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657855/
https://www.ncbi.nlm.nih.gov/pubmed/38027471
http://dx.doi.org/10.3389/fnins.2023.1289013
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