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Neuropsychiatric disorders

Support for network theories of schizophrenia

A computational neuroimaging study has shed new light on the relationship between morphological changes in the brain in schizophrenia and the network architecture of the brain, providing evidence to support two network theories of the disorder.

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Fig. 1: Network theories of schizophrenia tested in the new study.

References

  1. Hoff, P. Eugen Bleuler’s concept of schizophrenia and its relevance to present-day psychiatry. Neuropsychobiology 66, 6–13 (2012).

    Article  PubMed  Google Scholar 

  2. Di Biase, M. A. et al. Cell type-specific manifestations of cortical thickness heterogeneity in schizophrenia. Mol. Psychiatry 27, 2052–2060 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Gaser, C., Nenadic, I., Buchsbaum, B. R., Hazlett, E. A. & Buchsbaum, M. S. Ventricular enlargement in schizophrenia related to volume reduction of the thalamus, striatum, and superior temporal cortex. Am. J. Psychiatry 161, 154–156 (2004).

    Article  PubMed  Google Scholar 

  4. Georgiadis, F. et al. Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study. Mol. Psychiatry https://doi.org/10.1038/s41380-024-02442-7 (2024).

    Article  PubMed  Google Scholar 

  5. van den Heuvel, M. P. & Sporns, O. Network hubs in the human brain. Trends Cogn. Sci. 17, 683–696 (2013).

    Article  PubMed  Google Scholar 

  6. Shafiei, G. et al. Spatial patterning of tissue volume loss in schizophrenia reflects brain network architecture. Biol. Psychiatry 87, 727–735 (2020).

    Article  CAS  PubMed  Google Scholar 

  7. van Erp, T. G., Walton, E., Hibar, D. & Richter, A. Cortical abnormalities in 4474 individuals with schizophrenia and 5098 controls via the ENIGMA consortium. Biol. Psychiatry 84, 644–654 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Bullmore, E. T., Frangou, S. & Murray, R. M. The dysplastic net hypothesis: an integration of developmental and dysconnectivity theories of schizophrenia. Schizophr. Res. 28, 143–156 (1997).

    Article  CAS  PubMed  Google Scholar 

  9. Berdenis van Berlekom, A. et al. Synapse pathology in schizophrenia: a meta-analysis of postsynaptic elements in postmortem brain studies. Schizophr. Bull. 46, 374–386 (2020).

    PubMed  Google Scholar 

  10. Menon, V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483–506 (2011).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

M.P.v.d.H is supported by a European Research Council consolidator grant (ID 101001062 CONNECT) to M.P.v.d.H.

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Correspondence to Martijn P. van den Heuvel.

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Competing interests

M.P.v.d.H works as a data analysis consultant for Roche and is part of the editorial board of Human Brain Mapping. S.L.S. declares no competing interests.

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van den Heuvel, M.P., Seoane, S.L. Support for network theories of schizophrenia. Nat Rev Neurol (2024). https://doi.org/10.1038/s41582-024-00956-w

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