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Molecular and connectomic vulnerability shape cross-disorder cortical abnormalities

Hansen, J. Y.; Shafiei, G. Y.; Vogel, J. W.; Smart, K.; Bearden, C. E.; Hoogman, M.; Franke, B.; van Rooij, D.; Buitelaar, J.; McDonald, C. R.; Sisodiya, S.; Schmaal, L.; Veltman, D. J.; van den Heuvel, O. A.; Stein, D. J.; van Erp, T. G.; Ching, C.; Andreassen, O. A.; Hajek, T.; Opel, N.; Modinos, G.; Aleman, A.; van der Werf, Y.; Jahanshad, N.; Thomopoulos, S. I.; Thompson, P. M.; Carson, R. E.; Dagher, A.; Misic, B.

2022-01-21 neuroscience
10.1101/2022.01.21.476409 bioRxiv
Show abstract

Numerous brain disorders demonstrate structural brain abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these molecular and connectomic vulnerabilities to brain disorders remain unknown, and has yet to be studied in a single multi-disorder framework. Using MRI morphometry from the ENIGMA consortium, we construct maps of cortical abnormalities for thirteen neurodevelopmental, neurological, and psychiatric disorders from N = 21 000 patients and N = 26 000 controls, collected using a harmonized processing protocol. We systematically compare cortical maps to multiple micro-architectural measures, including gene expression, neurotransmitter density, metabolism, and myelination (molecular vulnerability), as well as global connectomic measures including number of connections, centrality, and connection diversity (connectomic vulnerability). We find that regional molecular vulnerability and macroscale brain network architecture interact to drive the spatial patterning of cortical abnormalities in multiple disorders. Local attributes, particularly neurotransmitter receptor profiles, constitute the best predictors of both disorder-specific cortical morphology and cross-disorder similarity. Finally, we find that cross-disorder abnormalities are consistently subtended by a small subset of network epicentres in bilateral sensory-motor, medial temporal lobe, precuneus, and superior parietal cortex. Collectively, our results highlight how local biological attributes and global connectivity jointly shape cross-disorder cortical abnormalities.

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