1. Neuroscience

Multimodal neural correlates of childhood psychopathology

  1. Jessica Royer
  2. Valeria Kebets
  3. Camille Piguet
  4. Jianzhong Chen
  5. Leon Qi Rong Ooi
  6. Matthias Kirschner
  7. Vanessa Siffedi
  8. Bratislav Misic
  9. BT Thomas Yeo  Is a corresponding author
  10. Boris C Bernhardt  Is a corresponding author
  1. McGill University, Canada
  2. University of Geneva, Switzerland
  3. National University of Singapore, Singapore
  4. Geneva University Hospitals, Switzerland
https://doi.org/10.7554/eLife.87992
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Cite this article
  1. Jessica Royer
  2. Valeria Kebets
  3. Camille Piguet
  4. Jianzhong Chen
  5. Leon Qi Rong Ooi
  6. Matthias Kirschner
  7. Vanessa Siffedi
  8. Bratislav Misic
  9. BT Thomas Yeo
  10. Boris C Bernhardt
(2024)
Multimodal neural correlates of childhood psychopathology
eLife 13:e87992.
https://doi.org/10.7554/eLife.87992
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Abstract

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 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.

Data availability

The ABCD data are publicly available via the NIMH Data Archive (https://nda.nih.gov/abcd/).The preprocessing pipeline can be found at https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/preprocessing/CBIG_fMRI_Preproc2016.Preprocessing code specific to this study can be found here: https://github.com/ThomasYeoLab/ABCD_scripts.The code for analyses can be found here: (https://github.com/valkebets/multimodal_psychopathology_components).

The following previously published data sets were used

Article and author information

Author details

  1. Jessica Royer

    McConnell Brain Imaging Centre, McGill University, Montreal, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4448-8998

  2. Valeria Kebets

    McConnell Brain Imaging Centre, McGill University, Montreal, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1707-7437

  3. Camille Piguet

    Psychiatric Specialities Division, University of Geneva, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.

  4. Jianzhong Chen

    Centre for Sleep and Cognition, National University of Singapore, Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.

  5. Leon Qi Rong Ooi

    Centre for Sleep and Cognition, National University of Singapore, Singapore, Singapore
    Competing interests
    The authors declare that no competing interests exist.

  6. Matthias Kirschner

    Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.

  7. Vanessa Siffedi

    Department of Paediatrics, University of Geneva, Geneva, Switzerland
    Competing interests
    The authors declare that no competing interests exist.

  8. Bratislav Misic

    McConnell Brain Imaging Centre, McGill University, Montreal, Canada
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0307-2862

  9. BT Thomas Yeo

    Centre for Sleep and Cognition, National University of Singapore, Singapore, Singapore
    For correspondence
    thomas.yeo@nus.edu.sg
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0119-3276

  10. Boris C Bernhardt

    McConnell Brain Imaging Centre, McGill University, Montreal, Canada
    For correspondence
    boris.bernhardt@mcgill.ca
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9256-6041

Funding

NUS Yong Loo Lin School of Medicine (NUHSRO/2020/124/TMR/LOA)

  • BT Thomas Yeo

Singapore National Medical Research Council (OFLCG19May-0035; CTGIIT23jan-0001; OFIRG24jan-0030; STaR20nov-0003)

  • BT Thomas Yeo

Singapore Ministry of Health (CG21APR1009)

  • BT Thomas Yeo

Temasek Foundation (TF2223-IMH-01)

  • BT Thomas Yeo

National Institutes of Health (R01MH133334)

  • BT Thomas Yeo

Natural Sciences and Engineering Research Council of Canada (NSERC Discovery-1304413)

  • Boris C Bernhardt

Canadian Institutes of Health Research (FDN-154298; PJT-174995)

  • Boris C Bernhardt

Sick Kids Foundation (NI17-039)

  • Boris C Bernhardt

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: Ethical review and approval of the protocol was obtained from the Institutional Review Board (IRB) at the University of California, San Diego, as well as from local IRB (Auchter et al., 2018; https://doi.org/10.1016/j.dcn.2018.04.003). Parents/guardians and children provided written assent (Clark et al., 2018; https://doi.org/10.1016/j.dcn.2017.06.005).

Copyright

© 2024, Royer et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Jessica Royer
  2. Valeria Kebets
  3. Camille Piguet
  4. Jianzhong Chen
  5. Leon Qi Rong Ooi
  6. Matthias Kirschner
  7. Vanessa Siffedi
  8. Bratislav Misic
  9. BT Thomas Yeo
  10. Boris C Bernhardt
(2024)
Multimodal neural correlates of childhood psychopathology
eLife 13:e87992.
https://doi.org/10.7554/eLife.87992

Share this article

https://doi.org/10.7554/eLife.87992

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