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Network-based approaches to examining stress in the adolescent brain
Exposure to stress, particularly in periods of rapid brain maturation such as adolescence, can profoundly influence developmental processes that undergird the organization of structural and functional brain networks and that may mediate the association between stressful experiences and maladaptive o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991327/ https://www.ncbi.nlm.nih.gov/pubmed/29888310 http://dx.doi.org/10.1016/j.ynstr.2018.05.002 |
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author | Ho, Tiffany C. Dennis, Emily L. Thompson, Paul M. Gotlib, Ian H. |
author_facet | Ho, Tiffany C. Dennis, Emily L. Thompson, Paul M. Gotlib, Ian H. |
author_sort | Ho, Tiffany C. |
collection | PubMed |
description | Exposure to stress, particularly in periods of rapid brain maturation such as adolescence, can profoundly influence developmental processes that undergird the organization of structural and functional brain networks and that may mediate the association between stressful experiences and maladaptive outcomes. While studies in translational developmental neuroscience often focus on how specific brain regions or targeted connections are altered by stress and psychiatric disease, the emerging field of network science may be especially valuable for elucidating the impact of stress on the intricate connectomics of the adolescent brain. Here we review recent studies that use graph theory and other network science approaches to understand normative adolescent brain development, effects of childhood maltreatment on the brain, and disorders characterized by pathological responses to stress in adolescents. Overall, these studies demonstrate that graph theory can be useful in identifying and quantifying developmental processes related to segregation, integration, and localized hub influence that are affected by stress exposure and that may lead to psychopathology. Finally, we discuss limitations in the current application of graph theory in this area and suggest what we believe are important directions for future work. |
format | Online Article Text |
id | pubmed-5991327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59913272018-06-08 Network-based approaches to examining stress in the adolescent brain Ho, Tiffany C. Dennis, Emily L. Thompson, Paul M. Gotlib, Ian H. Neurobiol Stress Article from the Special Issue on "Imaging Stress"; Edited by Michael Bruchas, Alan Simmons Exposure to stress, particularly in periods of rapid brain maturation such as adolescence, can profoundly influence developmental processes that undergird the organization of structural and functional brain networks and that may mediate the association between stressful experiences and maladaptive outcomes. While studies in translational developmental neuroscience often focus on how specific brain regions or targeted connections are altered by stress and psychiatric disease, the emerging field of network science may be especially valuable for elucidating the impact of stress on the intricate connectomics of the adolescent brain. Here we review recent studies that use graph theory and other network science approaches to understand normative adolescent brain development, effects of childhood maltreatment on the brain, and disorders characterized by pathological responses to stress in adolescents. Overall, these studies demonstrate that graph theory can be useful in identifying and quantifying developmental processes related to segregation, integration, and localized hub influence that are affected by stress exposure and that may lead to psychopathology. Finally, we discuss limitations in the current application of graph theory in this area and suggest what we believe are important directions for future work. Elsevier 2018-05-06 /pmc/articles/PMC5991327/ /pubmed/29888310 http://dx.doi.org/10.1016/j.ynstr.2018.05.002 Text en © 2018 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 | Article from the Special Issue on "Imaging Stress"; Edited by Michael Bruchas, Alan Simmons Ho, Tiffany C. Dennis, Emily L. Thompson, Paul M. Gotlib, Ian H. Network-based approaches to examining stress in the adolescent brain |
title | Network-based approaches to examining stress in the adolescent brain |
title_full | Network-based approaches to examining stress in the adolescent brain |
title_fullStr | Network-based approaches to examining stress in the adolescent brain |
title_full_unstemmed | Network-based approaches to examining stress in the adolescent brain |
title_short | Network-based approaches to examining stress in the adolescent brain |
title_sort | network-based approaches to examining stress in the adolescent brain |
topic | Article from the Special Issue on "Imaging Stress"; Edited by Michael Bruchas, Alan Simmons |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991327/ https://www.ncbi.nlm.nih.gov/pubmed/29888310 http://dx.doi.org/10.1016/j.ynstr.2018.05.002 |
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