Multimodal neural correlates of childhood psychopathology
Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of...
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| Format: | Article |
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eLife Sciences Publications Ltd
2024-12-01
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| Online Access: | https://elifesciences.org/articles/87992 |
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| author | Jessica Royer Valeria Kebets Camille Piguet Jianzhong Chen Leon Qi Rong Ooi Matthias Kirschner Vanessa Siffredi Bratislav Misic BT Thomas Yeo Boris C Bernhardt |
| author_facet | Jessica Royer Valeria Kebets Camille Piguet Jianzhong Chen Leon Qi Rong Ooi Matthias Kirschner Vanessa Siffredi Bratislav Misic BT Thomas Yeo Boris C Bernhardt |
| author_sort | Jessica Royer |
| collection | DOAJ |
| description | Complex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology (p) factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the p factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples and robust to variations in analytical parameters. Although model parameters yielded statistically significant brain–behavior associations in unseen data, generalizability of the model was rather limited for all three latent components (r change from within- to out-of-sample statistics: LC1within = 0.36, LC1out = 0.03; LC2within = 0.34, LC2out = 0.05; LC3within = 0.35, LC3out = 0.07). Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers. |
| format | Article |
| id | doaj-art-6dba493a330c405fa71ad3e2ca7177a8 |
| institution | Kabale University |
| issn | 2050-084X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj-art-6dba493a330c405fa71ad3e2ca7177a82025-01-30T17:38:45ZengeLife Sciences Publications LtdeLife2050-084X2024-12-011310.7554/eLife.87992Multimodal neural correlates of childhood psychopathologyJessica Royer0https://orcid.org/0000-0002-4448-8998Valeria Kebets1https://orcid.org/0000-0003-1707-7437Camille Piguet2Jianzhong Chen3Leon Qi Rong Ooi4Matthias Kirschner5Vanessa Siffredi6Bratislav Misic7https://orcid.org/0000-0003-0307-2862BT Thomas Yeo8https://orcid.org/0000-0002-0119-3276Boris C Bernhardt9https://orcid.org/0000-0001-9256-6041McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, CanadaMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada; Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, SingaporeYoung Adult Unit, Psychiatric Specialities Division, Geneva University Hospitals and Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Adolescent Unit, Division of General Paediatric, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals, Geneva, SwitzerlandCentre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, SingaporeCentre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, SingaporeMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada; Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Geneva, SwitzerlandDivision of Development and Growth, Department of Paediatrics, Gynaecology and Obstetrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland; Neuro-X Institute, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, SwitzerlandMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, CanadaCentre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore; Integrative Sciences and Engineering Programme, National University Singapore, Singapore, Singapore; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United StatesMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, CanadaComplex structural and functional changes occurring in typical and atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) dataset. Several components were identified, recapitulating the psychopathology hierarchy, with the general psychopathology (p) factor explaining most covariance with multimodal imaging features, while the internalizing, externalizing, and neurodevelopmental dimensions were each associated with distinct morphological and functional connectivity signatures. Connectivity signatures associated with the p factor and neurodevelopmental dimensions followed the sensory-to-transmodal axis of cortical organization, which is related to the emergence of complex cognition and risk for psychopathology. Results were consistent in two separate data subsamples and robust to variations in analytical parameters. Although model parameters yielded statistically significant brain–behavior associations in unseen data, generalizability of the model was rather limited for all three latent components (r change from within- to out-of-sample statistics: LC1within = 0.36, LC1out = 0.03; LC2within = 0.34, LC2out = 0.05; LC3within = 0.35, LC3out = 0.07). Our findings help in better understanding biological mechanisms underpinning dimensions of psychopathology, and could provide brain-based vulnerability markers.https://elifesciences.org/articles/87992psychopathologydevelopmenttransdiagnosticmultimodal imagingmultivariatebrain gradients |
| spellingShingle | Jessica Royer Valeria Kebets Camille Piguet Jianzhong Chen Leon Qi Rong Ooi Matthias Kirschner Vanessa Siffredi Bratislav Misic BT Thomas Yeo Boris C Bernhardt Multimodal neural correlates of childhood psychopathology eLife psychopathology development transdiagnostic multimodal imaging multivariate brain gradients |
| title | Multimodal neural correlates of childhood psychopathology |
| title_full | Multimodal neural correlates of childhood psychopathology |
| title_fullStr | Multimodal neural correlates of childhood psychopathology |
| title_full_unstemmed | Multimodal neural correlates of childhood psychopathology |
| title_short | Multimodal neural correlates of childhood psychopathology |
| title_sort | multimodal neural correlates of childhood psychopathology |
| topic | psychopathology development transdiagnostic multimodal imaging multivariate brain gradients |
| url | https://elifesciences.org/articles/87992 |
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