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Fetal behavior during MRI changes with age and relates to network dynamics

Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fe...

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Autores principales: Ji, Lanxin, Majbri, Amyn, Hendrix, Cassandra L., Thomason, Moriah E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921243/
https://www.ncbi.nlm.nih.gov/pubmed/36564934
http://dx.doi.org/10.1002/hbm.26167
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author Ji, Lanxin
Majbri, Amyn
Hendrix, Cassandra L.
Thomason, Moriah E.
author_facet Ji, Lanxin
Majbri, Amyn
Hendrix, Cassandra L.
Thomason, Moriah E.
author_sort Ji, Lanxin
collection PubMed
description Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fetal movement from a continuous four‐dimensional functional magnetic resonance imaging (fMRI) data set, and paired behavior features with brain activity indicated by the fMRI time series. Twelve‐minute fMRI scans were conducted in 120 normal fetuses. Postnatal motor function was evaluated at 7 and 36 months age. Fetal motor behavior was quantified by calculating the frame‐wise displacement (FD) of fetal brains extracted by a deep‐learning model along the whole time series. Analyzing only low motion data, we characterized the recurring coactivation patterns (CAPs) of the supplementary motor area (SMA). Results showed reduced motor activity with advancing gestational age (GA), likely due in part to loss of space (r = −.51, p < .001). Evaluation of individual variation in motor movement revealed a negative association between movement and the occurrence of coactivations within the left parietotemporal network, controlling for age and sex (p = .003). Further, we found that the occurrence of coactivations between the SMA to posterior brain regions, including visual cortex, was prospectively associated with postnatal motor function at 7 months (r = .43, p = .03). This is the first study to pair fetal movement and fMRI, highlighting potential for comparisons of fetal behavior and neural network development to enhance our understanding of fetal brain organization.
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spelling pubmed-99212432023-02-13 Fetal behavior during MRI changes with age and relates to network dynamics Ji, Lanxin Majbri, Amyn Hendrix, Cassandra L. Thomason, Moriah E. Hum Brain Mapp Research Articles Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fetal movement from a continuous four‐dimensional functional magnetic resonance imaging (fMRI) data set, and paired behavior features with brain activity indicated by the fMRI time series. Twelve‐minute fMRI scans were conducted in 120 normal fetuses. Postnatal motor function was evaluated at 7 and 36 months age. Fetal motor behavior was quantified by calculating the frame‐wise displacement (FD) of fetal brains extracted by a deep‐learning model along the whole time series. Analyzing only low motion data, we characterized the recurring coactivation patterns (CAPs) of the supplementary motor area (SMA). Results showed reduced motor activity with advancing gestational age (GA), likely due in part to loss of space (r = −.51, p < .001). Evaluation of individual variation in motor movement revealed a negative association between movement and the occurrence of coactivations within the left parietotemporal network, controlling for age and sex (p = .003). Further, we found that the occurrence of coactivations between the SMA to posterior brain regions, including visual cortex, was prospectively associated with postnatal motor function at 7 months (r = .43, p = .03). This is the first study to pair fetal movement and fMRI, highlighting potential for comparisons of fetal behavior and neural network development to enhance our understanding of fetal brain organization. John Wiley & Sons, Inc. 2022-12-23 /pmc/articles/PMC9921243/ /pubmed/36564934 http://dx.doi.org/10.1002/hbm.26167 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Ji, Lanxin
Majbri, Amyn
Hendrix, Cassandra L.
Thomason, Moriah E.
Fetal behavior during MRI changes with age and relates to network dynamics
title Fetal behavior during MRI changes with age and relates to network dynamics
title_full Fetal behavior during MRI changes with age and relates to network dynamics
title_fullStr Fetal behavior during MRI changes with age and relates to network dynamics
title_full_unstemmed Fetal behavior during MRI changes with age and relates to network dynamics
title_short Fetal behavior during MRI changes with age and relates to network dynamics
title_sort fetal behavior during mri changes with age and relates to network dynamics
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921243/
https://www.ncbi.nlm.nih.gov/pubmed/36564934
http://dx.doi.org/10.1002/hbm.26167
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