Cargando…
Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure
Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort,...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058055/ https://www.ncbi.nlm.nih.gov/pubmed/33879764 http://dx.doi.org/10.1038/s41398-021-01342-6 |
_version_ | 1783680953474875392 |
---|---|
author | Parkes, Linden Moore, Tyler M. Calkins, Monica E. Cook, Philip A. Cieslak, Matthew Roalf, David R. Wolf, Daniel H. Gur, Ruben C. Gur, Raquel E. Satterthwaite, Theodore D. Bassett, Danielle S. |
author_facet | Parkes, Linden Moore, Tyler M. Calkins, Monica E. Cook, Philip A. Cieslak, Matthew Roalf, David R. Wolf, Daniel H. Gur, Ruben C. Gur, Raquel E. Satterthwaite, Theodore D. Bassett, Danielle S. |
author_sort | Parkes, Linden |
collection | PubMed |
description | Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort, we built normative models of cortical volume and tested whether deviations from these models better predicted psychiatric symptoms compared to raw cortical volume. Specifically, drawing on the p-factor hypothesis, we distilled 117 clinical symptom measures into six orthogonal psychopathology dimensions: overall psychopathology, anxious-misery, externalizing disorders, fear, positive psychosis symptoms, and negative psychosis symptoms. We found that multivariate patterns of deviations yielded improved out-of-sample prediction of psychopathology dimensions compared to multivariate patterns of raw cortical volume. We also found that correlations between overall psychopathology and deviations in ventromedial prefrontal, inferior temporal, and dorsal anterior cingulate cortices were stronger than those observed for specific dimensions of psychopathology (e.g., anxious-misery). Notably, these same regions are consistently implicated in a range of putatively distinct disorders. Finally, we performed conventional case-control comparisons of deviations in a group of individuals with depression and a group with attention-deficit hyperactivity disorder (ADHD). We observed spatially overlapping effects between these groups that diminished when controlling for overall psychopathology. Together, our results suggest that modeling cortical brain features as deviations from normative neurodevelopment improves prediction of psychiatric symptoms in out-of-sample testing, and that p-factor models of psychopathology may assist in separating biomarkers that are disorder-general from those that are disorder-specific. |
format | Online Article Text |
id | pubmed-8058055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80580552021-05-05 Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure Parkes, Linden Moore, Tyler M. Calkins, Monica E. Cook, Philip A. Cieslak, Matthew Roalf, David R. Wolf, Daniel H. Gur, Ruben C. Gur, Raquel E. Satterthwaite, Theodore D. Bassett, Danielle S. Transl Psychiatry Article Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort, we built normative models of cortical volume and tested whether deviations from these models better predicted psychiatric symptoms compared to raw cortical volume. Specifically, drawing on the p-factor hypothesis, we distilled 117 clinical symptom measures into six orthogonal psychopathology dimensions: overall psychopathology, anxious-misery, externalizing disorders, fear, positive psychosis symptoms, and negative psychosis symptoms. We found that multivariate patterns of deviations yielded improved out-of-sample prediction of psychopathology dimensions compared to multivariate patterns of raw cortical volume. We also found that correlations between overall psychopathology and deviations in ventromedial prefrontal, inferior temporal, and dorsal anterior cingulate cortices were stronger than those observed for specific dimensions of psychopathology (e.g., anxious-misery). Notably, these same regions are consistently implicated in a range of putatively distinct disorders. Finally, we performed conventional case-control comparisons of deviations in a group of individuals with depression and a group with attention-deficit hyperactivity disorder (ADHD). We observed spatially overlapping effects between these groups that diminished when controlling for overall psychopathology. Together, our results suggest that modeling cortical brain features as deviations from normative neurodevelopment improves prediction of psychiatric symptoms in out-of-sample testing, and that p-factor models of psychopathology may assist in separating biomarkers that are disorder-general from those that are disorder-specific. Nature Publishing Group UK 2021-04-20 /pmc/articles/PMC8058055/ /pubmed/33879764 http://dx.doi.org/10.1038/s41398-021-01342-6 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 Parkes, Linden Moore, Tyler M. Calkins, Monica E. Cook, Philip A. Cieslak, Matthew Roalf, David R. Wolf, Daniel H. Gur, Ruben C. Gur, Raquel E. Satterthwaite, Theodore D. Bassett, Danielle S. Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title | Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title_full | Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title_fullStr | Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title_full_unstemmed | Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title_short | Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
title_sort | transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058055/ https://www.ncbi.nlm.nih.gov/pubmed/33879764 http://dx.doi.org/10.1038/s41398-021-01342-6 |
work_keys_str_mv | AT parkeslinden transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT mooretylerm transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT calkinsmonicae transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT cookphilipa transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT cieslakmatthew transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT roalfdavidr transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT wolfdanielh transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT gurrubenc transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT gurraquele transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT satterthwaitetheodored transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure AT bassettdanielles transdiagnosticdimensionsofpsychopathologyexplainindividualsuniquedeviationsfromnormativeneurodevelopmentinbrainstructure |