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Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization
Autism spectrum disorder (ASD) is associated with altered patterns of over- and under-connectivity of neural circuits. Age-related changes in neural connectivities remain unclear for autistic children as compared with normal children. In this study, a parts-based network-decomposition technique, kno...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218077/ https://www.ncbi.nlm.nih.gov/pubmed/32403087 http://dx.doi.org/10.1016/j.nicl.2020.102251 |
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author | Zhou, Tianyi Kang, Jiannan Cong, Fengyu Li, Dr. Xiaoli |
author_facet | Zhou, Tianyi Kang, Jiannan Cong, Fengyu Li, Dr. Xiaoli |
author_sort | Zhou, Tianyi |
collection | PubMed |
description | Autism spectrum disorder (ASD) is associated with altered patterns of over- and under-connectivity of neural circuits. Age-related changes in neural connectivities remain unclear for autistic children as compared with normal children. In this study, a parts-based network-decomposition technique, known as non-negative matrix factorization (NMF), was applied to identify a set of possible abnormal connectivity patterns in brains affected by ASD, using resting-state electroencephalographic (EEG) data. Age-related changes in connectivities in both inter- and intra-hemispheric areas were studied in a total of 256 children (3–6 years old), both with and without ASD. The findings included the following: (1) the brains of children affected by ASD were characterized by a general trend toward long-range under-connectivity, particularly in interhemispheric connections, combined with short-range over-connectivity; (2) long-range connections were often associated with slower rhythms (δ and θ), whereas synchronization of short-range networks tended to be associated with faster frequencies (α and β); and (3) the α-band specific patterns of interhemispheric connections in ASD could be the most prominent during early childhood neurodevelopment. Therefore, NMF would be useful for further exploring the early childhood developmental functional connectivity of children aged 3–6 with ASD as well as with typical development. Additionally, long-range interhemispheric alterations in connectivity may represent a potential biomarker for the identification of ASD. |
format | Online Article Text |
id | pubmed-7218077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72180772020-05-15 Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization Zhou, Tianyi Kang, Jiannan Cong, Fengyu Li, Dr. Xiaoli Neuroimage Clin Regular Article Autism spectrum disorder (ASD) is associated with altered patterns of over- and under-connectivity of neural circuits. Age-related changes in neural connectivities remain unclear for autistic children as compared with normal children. In this study, a parts-based network-decomposition technique, known as non-negative matrix factorization (NMF), was applied to identify a set of possible abnormal connectivity patterns in brains affected by ASD, using resting-state electroencephalographic (EEG) data. Age-related changes in connectivities in both inter- and intra-hemispheric areas were studied in a total of 256 children (3–6 years old), both with and without ASD. The findings included the following: (1) the brains of children affected by ASD were characterized by a general trend toward long-range under-connectivity, particularly in interhemispheric connections, combined with short-range over-connectivity; (2) long-range connections were often associated with slower rhythms (δ and θ), whereas synchronization of short-range networks tended to be associated with faster frequencies (α and β); and (3) the α-band specific patterns of interhemispheric connections in ASD could be the most prominent during early childhood neurodevelopment. Therefore, NMF would be useful for further exploring the early childhood developmental functional connectivity of children aged 3–6 with ASD as well as with typical development. Additionally, long-range interhemispheric alterations in connectivity may represent a potential biomarker for the identification of ASD. Elsevier 2020-03-20 /pmc/articles/PMC7218077/ /pubmed/32403087 http://dx.doi.org/10.1016/j.nicl.2020.102251 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Zhou, Tianyi Kang, Jiannan Cong, Fengyu Li, Dr. Xiaoli Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title | Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title_full | Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title_fullStr | Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title_full_unstemmed | Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title_short | Early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
title_sort | early childhood developmental functional connectivity of autistic brains with non-negative matrix factorization |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218077/ https://www.ncbi.nlm.nih.gov/pubmed/32403087 http://dx.doi.org/10.1016/j.nicl.2020.102251 |
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