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Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero

Formation of operational neural networks is one of the most significant accomplishments of human fetal brain growth. Recent advances in functional magnetic resonance imaging (fMRI) have made it possible to obtain information about brain function during fetal development. Specifically, resting-state...

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Autores principales: Thomason, Moriah E., Grove, Lauren E., Lozon, Tim A., Vila, Angela M., Ye, Yongquan, Nye, Matthew J., Manning, Janessa H., Pappas, Athina, Hernandez-Andrade, Edgar, Yeo, Lami, Mody, Swati, Berman, Susan, Hassan, Sonia S., Romero, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532276/
https://www.ncbi.nlm.nih.gov/pubmed/25284273
http://dx.doi.org/10.1016/j.dcn.2014.09.001
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author Thomason, Moriah E.
Grove, Lauren E.
Lozon, Tim A.
Vila, Angela M.
Ye, Yongquan
Nye, Matthew J.
Manning, Janessa H.
Pappas, Athina
Hernandez-Andrade, Edgar
Yeo, Lami
Mody, Swati
Berman, Susan
Hassan, Sonia S.
Romero, Roberto
author_facet Thomason, Moriah E.
Grove, Lauren E.
Lozon, Tim A.
Vila, Angela M.
Ye, Yongquan
Nye, Matthew J.
Manning, Janessa H.
Pappas, Athina
Hernandez-Andrade, Edgar
Yeo, Lami
Mody, Swati
Berman, Susan
Hassan, Sonia S.
Romero, Roberto
author_sort Thomason, Moriah E.
collection PubMed
description Formation of operational neural networks is one of the most significant accomplishments of human fetal brain growth. Recent advances in functional magnetic resonance imaging (fMRI) have made it possible to obtain information about brain function during fetal development. Specifically, resting-state fMRI and novel signal covariation approaches have opened up a new avenue for non-invasive assessment of neural functional connectivity (FC) before birth. Early studies in this area have unearthed new insights about principles of prenatal brain function. However, very little is known about the emergence and maturation of neural networks during fetal life. Here, we obtained cross-sectional rs-fMRI data from 39 fetuses between 24 and 38 weeks postconceptual age to examine patterns of connectivity across ten neural FC networks. We identified primitive forms of motor, visual, default mode, thalamic, and temporal networks in the human fetal brain. We discovered the first evidence of increased long-range, cerebral-cerebellar, cortical-subcortical, and intra-hemispheric FC with advancing fetal age. Continued aggregation of data about fundamental neural connectivity systems in utero is essential to establishing principles of connectomics at the beginning of human life. Normative data provides a vital context against which to compare instances of abnormal neurobiological development.
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spelling pubmed-45322762016-01-31 Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero Thomason, Moriah E. Grove, Lauren E. Lozon, Tim A. Vila, Angela M. Ye, Yongquan Nye, Matthew J. Manning, Janessa H. Pappas, Athina Hernandez-Andrade, Edgar Yeo, Lami Mody, Swati Berman, Susan Hassan, Sonia S. Romero, Roberto Dev Cogn Neurosci Original Research Formation of operational neural networks is one of the most significant accomplishments of human fetal brain growth. Recent advances in functional magnetic resonance imaging (fMRI) have made it possible to obtain information about brain function during fetal development. Specifically, resting-state fMRI and novel signal covariation approaches have opened up a new avenue for non-invasive assessment of neural functional connectivity (FC) before birth. Early studies in this area have unearthed new insights about principles of prenatal brain function. However, very little is known about the emergence and maturation of neural networks during fetal life. Here, we obtained cross-sectional rs-fMRI data from 39 fetuses between 24 and 38 weeks postconceptual age to examine patterns of connectivity across ten neural FC networks. We identified primitive forms of motor, visual, default mode, thalamic, and temporal networks in the human fetal brain. We discovered the first evidence of increased long-range, cerebral-cerebellar, cortical-subcortical, and intra-hemispheric FC with advancing fetal age. Continued aggregation of data about fundamental neural connectivity systems in utero is essential to establishing principles of connectomics at the beginning of human life. Normative data provides a vital context against which to compare instances of abnormal neurobiological development. Elsevier 2014-09-27 /pmc/articles/PMC4532276/ /pubmed/25284273 http://dx.doi.org/10.1016/j.dcn.2014.09.001 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Research
Thomason, Moriah E.
Grove, Lauren E.
Lozon, Tim A.
Vila, Angela M.
Ye, Yongquan
Nye, Matthew J.
Manning, Janessa H.
Pappas, Athina
Hernandez-Andrade, Edgar
Yeo, Lami
Mody, Swati
Berman, Susan
Hassan, Sonia S.
Romero, Roberto
Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title_full Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title_fullStr Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title_full_unstemmed Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title_short Age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
title_sort age-related increases in long-range connectivity in fetal functional neural connectivity networks in utero
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532276/
https://www.ncbi.nlm.nih.gov/pubmed/25284273
http://dx.doi.org/10.1016/j.dcn.2014.09.001
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