Abstract
A common hypothesis on the etiopathology of schizophrenia is that the failure of segregation of right from left hemisphere functions is a core deficit in psychosis. It has even been proposed that schizophrenia symptoms in general may reflect a hemispheric ‘dominance failure’ for language and that the corresponding predisposition is genetic. Here, we show that reduced asymmetries of cytoarchitectonic Broca’s subareas link to the degree of specific psychopathology and that specific gray matter reductions of subareas are related to a cognitive and a negative subtype of schizophrenia. Gene expression analyses indicate an upregulation of the MET gene in these particular areas, which has been implicated in neurodevelopment as well as neurocognition and influences the risk for schizophrenia. Our integrative findings suggest that variations of MET are associated with distinct structural alterations at the subregional level in key language regions, which may contribute to development of specific psychopathology in schizophrenia.
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Data availability
COBRE data were obtained from the SchizConnect, a publicly available website (http://www.schizconnect.org/documentation#by_project). The COBRE dataset was downloaded from the Center for Biomedical Research Excellence in Brain Function and Mental Illness (COBRE) (https://coins.trendscenter.org/). Data from the other datasets are not publicly available for download, but access requests can be made to the respective study investigators: Aachen, B.D. (birgit.derntl@med.uni-tuebingen.de); Göttingen, O.G. (oliver.gruber@med.uni-heidelberg.de); Groningen, A.A. (a.aleman@umcg.nl); Utrecht, I.E.S. (isc.sommer@umcg.nl); Regensburg, corresponding author T.B.P.; Singapore, J.H.Z. (helen.zhou@nus.edu.sg). Requests for raw and analyzed data can be made to the corresponding author and will be promptly reviewed by the Ethics Committee at the University of Regensburg to verify whether the request is subject to any intellectual property or confidentiality obligations. The Jülich Brain Atlas is accessible at https://julich-brain-atlas.de and the BrainMap database is accessible at http://www.brainmap.org/.
Code availability
The ‘Dimensions and Clustering Tool for assessing schizophrenia Symptomatology’ (DCTS) is available at http://webtools.inm7.de/sczDCTS/, the Computational Anatomy Toolbox (CAT) at https://neuro-jena.github.io/cat/, the SPM12 software at https://www.fil.ion.ucl.ac.uk/spm/software/spm12/, G*Power software at http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower, and the JuGEx toolbox at https://www.fz-juelich.de/de/inm/inm-1/leistungen/tools-services-und-forschungsdaten/jugex.
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Acknowledgements
This research project is supported by a grant from the START-Program of the Faculty of Medicine of the RWTH Aachen University (37/20; funded by the North Rhine-Westphalian Ministry of Culture and Science). J.H.Z. was supported by Yong Loo Lin School of Medicine, National University of Singapore.
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T.B.P., S.Z. and K. Sakreida designed the study. S.B.E. gave conceptual advice. A.A., T.B., B.D., E.F., T.F., P.F.-C., M.Á.G.-L., O.G., G.H., R.J., L.K., P.M.K., D.M., M.L., B.L., E.P.-C., J.P., M.S., K. Sim, J.S.-V., I.E.S., J.H.Z. and T.B.P. contributed data. S.Z. conducted the analyses under supervision by K. Sakreida and T.B.P. F.H. organized and preprocessed data of the replication sample. J.A.C. and S.B.E. provided the functional characterization. S.B., D.I.P. and T.W.M. advised on the gene expression analyses. S.Z. and T.B.P. wrote the paper. S.B., D.I.P., S.H., T.W.M. and S.B.E. discussed the results and implications. All authors commented on the paper at all stages.
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Zimmermann, S., Sakreida, K., Bludau, S. et al. Asymmetry, cytoarchitectonic morphology and genetics associated with Broca’s area in schizophrenia. Nat. Mental Health 2, 310–319 (2024). https://doi.org/10.1038/s44220-023-00200-2
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DOI: https://doi.org/10.1038/s44220-023-00200-2