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Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds
Convergent research identifies a general factor (“P factor”) that confers transdiagnostic risk for psychopathology. Large-scale networks are key organizational units of the human brain. However, studies of altered network connectivity patterns associated with the P factor are limited, especially in...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578613/ https://www.ncbi.nlm.nih.gov/pubmed/34753911 http://dx.doi.org/10.1038/s41398-021-01708-w |
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author | Sripada, Chandra Angstadt, Mike Taxali, Aman Kessler, Daniel Greathouse, Tristan Rutherford, Saige Clark, D. Angus Hyde, Luke W. Weigard, Alex Brislin, Sarah J. Hicks, Brian Heitzeg, Mary |
author_facet | Sripada, Chandra Angstadt, Mike Taxali, Aman Kessler, Daniel Greathouse, Tristan Rutherford, Saige Clark, D. Angus Hyde, Luke W. Weigard, Alex Brislin, Sarah J. Hicks, Brian Heitzeg, Mary |
author_sort | Sripada, Chandra |
collection | PubMed |
description | Convergent research identifies a general factor (“P factor”) that confers transdiagnostic risk for psychopathology. Large-scale networks are key organizational units of the human brain. However, studies of altered network connectivity patterns associated with the P factor are limited, especially in early adolescence when most mental disorders are first emerging. We studied 11,875 9- and 10-year olds from the Adolescent Brain and Cognitive Development (ABCD) study, of whom 6593 had high-quality resting-state scans. Network contingency analysis was used to identify altered interconnections associated with the P factor among 16 large-scale networks. These connectivity changes were then further characterized with quadrant analysis that quantified the directionality of P factor effects in relation to neurotypical patterns of positive versus negative connectivity across connections. The results showed that the P factor was associated with altered connectivity across 28 network cells (i.e., sets of connections linking pairs of networks); p(PERMUTATION) values < 0.05 FDR-corrected for multiple comparisons. Higher P factor scores were associated with hypoconnectivity within default network and hyperconnectivity between default network and multiple control networks. Among connections within these 28 significant cells, the P factor was predominantly associated with “attenuating” effects (67%; p(PERMUTATION) < 0.0002), i.e., reduced connectivity at neurotypically positive connections and increased connectivity at neurotypically negative connections. These results demonstrate that the general factor of psychopathology produces attenuating changes across multiple networks including default network, involved in spontaneous responses, and control networks involved in cognitive control. Moreover, they clarify mechanisms of transdiagnostic risk for psychopathology and invite further research into developmental causes of distributed attenuated connectivity. |
format | Online Article Text |
id | pubmed-8578613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85786132021-11-15 Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds Sripada, Chandra Angstadt, Mike Taxali, Aman Kessler, Daniel Greathouse, Tristan Rutherford, Saige Clark, D. Angus Hyde, Luke W. Weigard, Alex Brislin, Sarah J. Hicks, Brian Heitzeg, Mary Transl Psychiatry Article Convergent research identifies a general factor (“P factor”) that confers transdiagnostic risk for psychopathology. Large-scale networks are key organizational units of the human brain. However, studies of altered network connectivity patterns associated with the P factor are limited, especially in early adolescence when most mental disorders are first emerging. We studied 11,875 9- and 10-year olds from the Adolescent Brain and Cognitive Development (ABCD) study, of whom 6593 had high-quality resting-state scans. Network contingency analysis was used to identify altered interconnections associated with the P factor among 16 large-scale networks. These connectivity changes were then further characterized with quadrant analysis that quantified the directionality of P factor effects in relation to neurotypical patterns of positive versus negative connectivity across connections. The results showed that the P factor was associated with altered connectivity across 28 network cells (i.e., sets of connections linking pairs of networks); p(PERMUTATION) values < 0.05 FDR-corrected for multiple comparisons. Higher P factor scores were associated with hypoconnectivity within default network and hyperconnectivity between default network and multiple control networks. Among connections within these 28 significant cells, the P factor was predominantly associated with “attenuating” effects (67%; p(PERMUTATION) < 0.0002), i.e., reduced connectivity at neurotypically positive connections and increased connectivity at neurotypically negative connections. These results demonstrate that the general factor of psychopathology produces attenuating changes across multiple networks including default network, involved in spontaneous responses, and control networks involved in cognitive control. Moreover, they clarify mechanisms of transdiagnostic risk for psychopathology and invite further research into developmental causes of distributed attenuated connectivity. Nature Publishing Group UK 2021-11-09 /pmc/articles/PMC8578613/ /pubmed/34753911 http://dx.doi.org/10.1038/s41398-021-01708-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sripada, Chandra Angstadt, Mike Taxali, Aman Kessler, Daniel Greathouse, Tristan Rutherford, Saige Clark, D. Angus Hyde, Luke W. Weigard, Alex Brislin, Sarah J. Hicks, Brian Heitzeg, Mary Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title | Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title_full | Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title_fullStr | Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title_full_unstemmed | Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title_short | Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
title_sort | widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578613/ https://www.ncbi.nlm.nih.gov/pubmed/34753911 http://dx.doi.org/10.1038/s41398-021-01708-w |
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