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Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry

Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor based morphometry (DTBM), a novel technique that extracts...

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Autores principales: Lee, Nancy Raitano, Nayak, Amritha, Irfanoglu, M. Okan, Sadeghi, Neda, Stoodley, Catherine J., Adeyemi, Elizabeth, Clasen, Liv S., Pierpaoli, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096514/
https://www.ncbi.nlm.nih.gov/pubmed/32214129
http://dx.doi.org/10.1038/s41598-020-61799-1
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author Lee, Nancy Raitano
Nayak, Amritha
Irfanoglu, M. Okan
Sadeghi, Neda
Stoodley, Catherine J.
Adeyemi, Elizabeth
Clasen, Liv S.
Pierpaoli, Carlo
author_facet Lee, Nancy Raitano
Nayak, Amritha
Irfanoglu, M. Okan
Sadeghi, Neda
Stoodley, Catherine J.
Adeyemi, Elizabeth
Clasen, Liv S.
Pierpaoli, Carlo
author_sort Lee, Nancy Raitano
collection PubMed
description Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor based morphometry (DTBM), a novel technique that extracts morphometric information from diffusion data, to investigate brain anatomy in 15 participants with DS and 15 age- and sex-matched typically developing (TD) controls, ages 6–24 years (mean age ~17 years). DTBM revealed marked hypoplasia of cerebellar afferent systems in DS, including fronto-pontine (middle cerebellar peduncle) and olivo-cerebellar (inferior cerebellar peduncle) connections. Prominent gray matter hypoplasia was observed in medial frontal regions, the inferior olives, and the cerebellum. Very few abnormalities were detected by classical diffusion MRI metrics, such as fractional anisotropy and mean diffusivity. Our results highlight the potential importance of cerebro-cerebellar networks in the clinical manifestations of DS and suggest a role for DTBM in the investigation of other brain disorders involving white matter hypoplasia or atrophy.
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spelling pubmed-70965142020-03-30 Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry Lee, Nancy Raitano Nayak, Amritha Irfanoglu, M. Okan Sadeghi, Neda Stoodley, Catherine J. Adeyemi, Elizabeth Clasen, Liv S. Pierpaoli, Carlo Sci Rep Article Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor based morphometry (DTBM), a novel technique that extracts morphometric information from diffusion data, to investigate brain anatomy in 15 participants with DS and 15 age- and sex-matched typically developing (TD) controls, ages 6–24 years (mean age ~17 years). DTBM revealed marked hypoplasia of cerebellar afferent systems in DS, including fronto-pontine (middle cerebellar peduncle) and olivo-cerebellar (inferior cerebellar peduncle) connections. Prominent gray matter hypoplasia was observed in medial frontal regions, the inferior olives, and the cerebellum. Very few abnormalities were detected by classical diffusion MRI metrics, such as fractional anisotropy and mean diffusivity. Our results highlight the potential importance of cerebro-cerebellar networks in the clinical manifestations of DS and suggest a role for DTBM in the investigation of other brain disorders involving white matter hypoplasia or atrophy. Nature Publishing Group UK 2020-03-25 /pmc/articles/PMC7096514/ /pubmed/32214129 http://dx.doi.org/10.1038/s41598-020-61799-1 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lee, Nancy Raitano
Nayak, Amritha
Irfanoglu, M. Okan
Sadeghi, Neda
Stoodley, Catherine J.
Adeyemi, Elizabeth
Clasen, Liv S.
Pierpaoli, Carlo
Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title_full Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title_fullStr Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title_full_unstemmed Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title_short Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
title_sort hypoplasia of cerebellar afferent networks in down syndrome revealed by dti-driven tensor based morphometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096514/
https://www.ncbi.nlm.nih.gov/pubmed/32214129
http://dx.doi.org/10.1038/s41598-020-61799-1
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