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Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth

BACKGROUND: The spatial layout of large-scale functional brain networks differs between individuals and is particularly variable in the association cortex, implicated in a broad range of psychiatric disorders. However, it remains unknown whether this variation in functional topography is related to...

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Autores principales: Cui, Zaixu, Pines, Adam R., Larsen, Bart, Sydnor, Valerie J., Li, Hongming, Adebimpe, Azeez, Alexander-Bloch, Aaron F., Bassett, Dani S., Bertolero, Max, Calkins, Monica E., Davatzikos, Christos, Fair, Damien A., Gur, Ruben C., Gur, Raquel E., Moore, Tyler M., Shanmugan, Sheila, Shinohara, Russell T., Vogel, Jacob W., Xia, Cedric H., Fan, Yong, Satterthwaite, Theodore D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040299/
https://www.ncbi.nlm.nih.gov/pubmed/35927072
http://dx.doi.org/10.1016/j.biopsych.2022.05.014
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author Cui, Zaixu
Pines, Adam R.
Larsen, Bart
Sydnor, Valerie J.
Li, Hongming
Adebimpe, Azeez
Alexander-Bloch, Aaron F.
Bassett, Dani S.
Bertolero, Max
Calkins, Monica E.
Davatzikos, Christos
Fair, Damien A.
Gur, Ruben C.
Gur, Raquel E.
Moore, Tyler M.
Shanmugan, Sheila
Shinohara, Russell T.
Vogel, Jacob W.
Xia, Cedric H.
Fan, Yong
Satterthwaite, Theodore D.
author_facet Cui, Zaixu
Pines, Adam R.
Larsen, Bart
Sydnor, Valerie J.
Li, Hongming
Adebimpe, Azeez
Alexander-Bloch, Aaron F.
Bassett, Dani S.
Bertolero, Max
Calkins, Monica E.
Davatzikos, Christos
Fair, Damien A.
Gur, Ruben C.
Gur, Raquel E.
Moore, Tyler M.
Shanmugan, Sheila
Shinohara, Russell T.
Vogel, Jacob W.
Xia, Cedric H.
Fan, Yong
Satterthwaite, Theodore D.
author_sort Cui, Zaixu
collection PubMed
description BACKGROUND: The spatial layout of large-scale functional brain networks differs between individuals and is particularly variable in the association cortex, implicated in a broad range of psychiatric disorders. However, it remains unknown whether this variation in functional topography is related to major dimensions of psychopathology in youth. METHODS: The authors studied 790 youths ages 8 to 23 years who had 27 minutes of high-quality functional magnetic resonance imaging data as part of the Philadelphia Neurodevelopmental Cohort. Four correlated dimensions were estimated using a confirmatory correlated traits factor analysis on 112 item-level clinical symptoms, and one overall psychopathology factor with 4 orthogonal dimensions were extracted using a confirmatory factor analysis. Spatially regularized nonnegative matrix factorization was used to identify 17 individual-specific functional networks for each participant. Partial least square regression with split-half cross-validation was conducted to evaluate to what extent the topography of personalized functional networks encodes major dimensions of psychopathology. RESULTS: Personalized functional network topography significantly predicted unseen individuals’ major dimensions of psychopathology, including fear, psychosis, externalizing, and anxious-misery. Reduced representation of association networks was among the most important features for the prediction of all 4 dimensions. Further analysis revealed that personalized functional network topography predicted overall psychopathology (r = 0.16, permutation testing p < .001), which drove prediction of the 4 correlated dimensions. CONCLUSIONS: These results suggest that individual differences in functional network topography in association networks is related to overall psychopathology in youth. Such results underscore the importance of considering functional neuroanatomy for personalized diagnostics and therapeutics in psychiatry.
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spelling pubmed-100402992023-03-27 Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth Cui, Zaixu Pines, Adam R. Larsen, Bart Sydnor, Valerie J. Li, Hongming Adebimpe, Azeez Alexander-Bloch, Aaron F. Bassett, Dani S. Bertolero, Max Calkins, Monica E. Davatzikos, Christos Fair, Damien A. Gur, Ruben C. Gur, Raquel E. Moore, Tyler M. Shanmugan, Sheila Shinohara, Russell T. Vogel, Jacob W. Xia, Cedric H. Fan, Yong Satterthwaite, Theodore D. Biol Psychiatry Article BACKGROUND: The spatial layout of large-scale functional brain networks differs between individuals and is particularly variable in the association cortex, implicated in a broad range of psychiatric disorders. However, it remains unknown whether this variation in functional topography is related to major dimensions of psychopathology in youth. METHODS: The authors studied 790 youths ages 8 to 23 years who had 27 minutes of high-quality functional magnetic resonance imaging data as part of the Philadelphia Neurodevelopmental Cohort. Four correlated dimensions were estimated using a confirmatory correlated traits factor analysis on 112 item-level clinical symptoms, and one overall psychopathology factor with 4 orthogonal dimensions were extracted using a confirmatory factor analysis. Spatially regularized nonnegative matrix factorization was used to identify 17 individual-specific functional networks for each participant. Partial least square regression with split-half cross-validation was conducted to evaluate to what extent the topography of personalized functional networks encodes major dimensions of psychopathology. RESULTS: Personalized functional network topography significantly predicted unseen individuals’ major dimensions of psychopathology, including fear, psychosis, externalizing, and anxious-misery. Reduced representation of association networks was among the most important features for the prediction of all 4 dimensions. Further analysis revealed that personalized functional network topography predicted overall psychopathology (r = 0.16, permutation testing p < .001), which drove prediction of the 4 correlated dimensions. CONCLUSIONS: These results suggest that individual differences in functional network topography in association networks is related to overall psychopathology in youth. Such results underscore the importance of considering functional neuroanatomy for personalized diagnostics and therapeutics in psychiatry. 2022-12-15 2022-05-18 /pmc/articles/PMC10040299/ /pubmed/35927072 http://dx.doi.org/10.1016/j.biopsych.2022.05.014 Text en https://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/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Cui, Zaixu
Pines, Adam R.
Larsen, Bart
Sydnor, Valerie J.
Li, Hongming
Adebimpe, Azeez
Alexander-Bloch, Aaron F.
Bassett, Dani S.
Bertolero, Max
Calkins, Monica E.
Davatzikos, Christos
Fair, Damien A.
Gur, Ruben C.
Gur, Raquel E.
Moore, Tyler M.
Shanmugan, Sheila
Shinohara, Russell T.
Vogel, Jacob W.
Xia, Cedric H.
Fan, Yong
Satterthwaite, Theodore D.
Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title_full Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title_fullStr Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title_full_unstemmed Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title_short Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
title_sort linking individual differences in personalized functional network topography to psychopathology in youth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040299/
https://www.ncbi.nlm.nih.gov/pubmed/35927072
http://dx.doi.org/10.1016/j.biopsych.2022.05.014
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