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Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants

Infants born very preterm (VPT) are at high risk of motor impairments such as cerebral palsy (CP), and diagnosis can take 2 years. Identifying in vivo determinants of CP could facilitate presymptomatic detection and targeted intervention. Our objectives were to derive micro‐ and macrostructural meas...

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Autores principales: Chandwani, Rahul, Kline, Julia E., Harpster, Karen, Tkach, Jean, Parikh, Nehal A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410533/
https://www.ncbi.nlm.nih.gov/pubmed/34322949
http://dx.doi.org/10.1002/hbm.25579
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author Chandwani, Rahul
Kline, Julia E.
Harpster, Karen
Tkach, Jean
Parikh, Nehal A.
author_facet Chandwani, Rahul
Kline, Julia E.
Harpster, Karen
Tkach, Jean
Parikh, Nehal A.
author_sort Chandwani, Rahul
collection PubMed
description Infants born very preterm (VPT) are at high risk of motor impairments such as cerebral palsy (CP), and diagnosis can take 2 years. Identifying in vivo determinants of CP could facilitate presymptomatic detection and targeted intervention. Our objectives were to derive micro‐ and macrostructural measures of sensorimotor white matter tract integrity from diffusion MRI at term‐equivalent age, and determine their association with early diagnosis of CP. We enrolled 263 VPT infants (≤32 weeks gestational age) as part of a large prospective cohort study. Diffusion and structural MRI were acquired at term. Following consensus guidelines, we defined early diagnosis of CP based on abnormal structural MRI at term and abnormal neuromotor exam at 3–4 months corrected age. Using Constrained Spherical Deconvolution, we derived a white matter fiber orientation distribution (fOD) for subjects, performed probabilistic whole‐brain tractography, and segmented nine sensorimotor tracts of interest. We used the recently developed fixel‐based (FB) analysis to compute fiber density (FD), fiber‐bundle cross‐section (FC), and combined fiber density and cross‐section (FDC) for each tract. Of 223 VPT infants with high‐quality diffusion MRI data, 14 (6.3%) received an early diagnosis of CP. The cohort's mean (SD) gestational age was 29.4 (2.4) weeks and postmenstrual age at MRI scan was 42.8 (1.3) weeks. FD, FC, and FDC for each sensorimotor tract were significantly associated with early CP diagnosis, with and without adjustment for confounders. Measures of sensorimotor tract integrity enhance our understanding of white matter changes that antecede and potentially contribute to the development of CP in VPT infants.
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spelling pubmed-84105332021-09-03 Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants Chandwani, Rahul Kline, Julia E. Harpster, Karen Tkach, Jean Parikh, Nehal A. Hum Brain Mapp Research Articles Infants born very preterm (VPT) are at high risk of motor impairments such as cerebral palsy (CP), and diagnosis can take 2 years. Identifying in vivo determinants of CP could facilitate presymptomatic detection and targeted intervention. Our objectives were to derive micro‐ and macrostructural measures of sensorimotor white matter tract integrity from diffusion MRI at term‐equivalent age, and determine their association with early diagnosis of CP. We enrolled 263 VPT infants (≤32 weeks gestational age) as part of a large prospective cohort study. Diffusion and structural MRI were acquired at term. Following consensus guidelines, we defined early diagnosis of CP based on abnormal structural MRI at term and abnormal neuromotor exam at 3–4 months corrected age. Using Constrained Spherical Deconvolution, we derived a white matter fiber orientation distribution (fOD) for subjects, performed probabilistic whole‐brain tractography, and segmented nine sensorimotor tracts of interest. We used the recently developed fixel‐based (FB) analysis to compute fiber density (FD), fiber‐bundle cross‐section (FC), and combined fiber density and cross‐section (FDC) for each tract. Of 223 VPT infants with high‐quality diffusion MRI data, 14 (6.3%) received an early diagnosis of CP. The cohort's mean (SD) gestational age was 29.4 (2.4) weeks and postmenstrual age at MRI scan was 42.8 (1.3) weeks. FD, FC, and FDC for each sensorimotor tract were significantly associated with early CP diagnosis, with and without adjustment for confounders. Measures of sensorimotor tract integrity enhance our understanding of white matter changes that antecede and potentially contribute to the development of CP in VPT infants. John Wiley & Sons, Inc. 2021-07-29 /pmc/articles/PMC8410533/ /pubmed/34322949 http://dx.doi.org/10.1002/hbm.25579 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Chandwani, Rahul
Kline, Julia E.
Harpster, Karen
Tkach, Jean
Parikh, Nehal A.
Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title_full Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title_fullStr Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title_full_unstemmed Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title_short Early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
title_sort early micro‐ and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410533/
https://www.ncbi.nlm.nih.gov/pubmed/34322949
http://dx.doi.org/10.1002/hbm.25579
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