Welcome to the repository to reproduce the main findings from our paper, Multimodal neural correlates of childhood psychopathology, published in eLife.
Jessica Royer, Valeria Kebets, Camille Piguet, Jianzhong Chen, Leon Qi Rong Ooi, Matthias Kirschner, Vanessa Siffedi, Bratislav Misic, BT Thomas Yeo, Boris C Bernhardt (2024). Multimodal neural correlates of childhood psychopathology (eLife).
DOI: https://doi.org/10.7554/eLife.87992
We simultaneously examined structural and functional brain network patterns in relation to dimensions of psychopathology in the Adolescent Brain Cognitive Development dataset. We applied PCA on each imaging modality, and deployed PLS (partial least squares correlation analysis), a data-driven unsupervised machine learning technique to derive latent components linking psychopathology to brain imaging patterns. 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.
analysescontains the code to replicate the main analyses used in our paper
figurescontains the code to generate the figures of our paper
- 27/12/2024 : Updated reference
- 07/03/2023 : Initial release
Please contact:
- Valeria Kebets at valkebets[at]gmail[dot]com, or
- Jessica Royer at jessica[dot]royer[at]mail[dot]mcgill[dot]ca