Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33232
Title: Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study
Authors: Kirschner, M
Hodzic-Santor, B
Kennedy, L
Hansen, JY
Antoniades, M
Nenadić, I
Kircher, T
Krug, A
Meller, T
Dannlowski, U
Grotegerd, D
Flinkenflügel, K
Meinert, S
Borgers, T
Goltermann, J
Hahn, T
Böhnlein, J
Leehr, EJ
Barkhau, C
Fornito, A
Arnatkeviciute, A
Bellgrove, MA
Tiego, J
DeRosse, P
Green, M
Quidé, Y
Pantelis, C
Chan, RCK
Wang, Y
Ettinger, U
Debbané, M
Derome, M
Gaser, C
Besteher, B
Diederen, K
Spencer, TJ
Houenou, J
Pomarol-Clotet, E
Salvador, R
Rössler, W
Smigielski, L
Kumari, V
Premkumar, P
Park, HRP
Wiebels, K
Jansen, I
Gilleen, J
Allen, P
Marsman, J-B
Lebedeva, I
Tomyshev, A
Fett, A-K
Sommer, I
Koops, S
Grant, P
Ferrari, A
Wan, B
Bègue, I
Hernaus, D
Jalbrzikowski, M
Paquola, C
Larivière, S
Bernhardt, B
Valk, SL
Misic, B
van Erp, TGM
Turner, JA
Thompson, PM
Aleman, A
Dagher, A
Kaiser, S
Modinos, G
Keywords: neuroscience;psychiatric disorders;psychology;schizophrenia
Issue Date: 18-Apr-2026
Publisher: Springer Nature
Citation: Kirschner, M. et al. (2026) 'Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA study', Molecular Psychiatry, 0 (ahead of print), pp. 1–15. doi: 10.1038/s41380-026-03547-x.
Abstract: Positive and negative schizotypy reflect distinct patterns of subclinical traits in the general population associated with neurodevelopmental and schizophrenia-spectrum pathologies. Yet, a comprehensive characterization of the unique and shared neuroanatomical signatures of these schizotypy dimensions is lacking. Leveraging 3D brain MRI data from 2730 unmedicated healthy individuals, we identified neuroanatomical profiles of positive and negative schizotypy and systematically compared them with disorder-specific, microarchitectural, neurotransmitter-level, and connectome measures. Positive and negative schizotypy were associated with distinct cortical signatures, of predominantly thinner frontal and thicker paralimbic cortical areas, respectively. These cortical signatures of positive and negative schizotypy were differentially linked to brain-wide cortical patterns of schizophrenia-spectrum (clinical high-risk for psychosis, schizophrenia) and neurodevelopmental conditions (ADHD, autism spectrum disorder and 22q11.2 deletion syndrome). Additionally, the positive and negative schizotypy-related cortical profiles mapped onto different local attributes of gene expression, cortical myelination, D1, and histamine receptor distributions. Network models further showed that positive and negative schizotypy cortical signatures were spatially associated with cortical hubs, suggesting that highly interconnected regions are more vulnerable to the morphological differences associated with both schizotypy dimensions. Finally, predominantly sensorimotor-to-association and paralimbic areas emerged as epicenters with connectivity profiles significantly linked to the schizotypy-related cortical patterns. Collectively, this study identified cortical signatures of positive and negative schizotypy traits that are embedded along multiple scales of cortical organization and neuropsychiatric pathologies. Our work yields novel insights into how neurobiology and brain architecture may guide neuroanatomical vulnerability and resilience to psychopathology in the general population.
Description: Data availability: All meta-analytic data reported in the manuscript are included in the article and its supplementary information files. Summary statistics of the case-control meta-analyses from the ENIGMA Working Groups are available from the ENIGMA Toolbox (https://enigma-toolbox.readthedocs.io/en/latest/). Preprocessed normative cortico-cortical, subcortico-cortical, and subcortico-subcortical functional and structural connectivity data are available from the ENIGMA Toolbox (https://enigma-toolbox.readthedocs.io/en/latest/). Molecular, connectivity, and receptor datasets are available from https://github.com/netneurolab/hansen_crossdisorder_vulnerability.git and https://github.com/netneurolab/hansen_receptors.git. Additional information can be made available upon reasonable request to the authors.
Code availability: All software and analysis code used in this study are openly available. Image preprocessing pipelines are available through the ENIGMA consortium (https://github.com/ENIGMA-git). Statistical analyses were performed in R (version 3.6.0), including partial correlation analyses using pcor.test and random-effects meta-analyses using the metafor package (rma function). Spatial correlation, hub, and epicenter analyses were conducted using the ENIGMA Toolbox (https://enigma-toolbox.readthedocs.io/en/latest/). Dominance analysis was performed with the domir package (version 1.2.0; 10.32614/CRAN.package.domir).
Supplementary information is available online at: https://www.nature.com/articles/s41380-026-03547-x#Sec24 .
URI: https://bura.brunel.ac.uk/handle/2438/33232
DOI: https://doi.org/10.1038/s41380-026-03547-x
ISSN: 1359-4184
Other Identifiers: ORCiD: Matthias Kirschner https://orcid.org/0000-0002-9486-1439
ORCiD: Justine Y. Hansen https://orcid.org/0000-0003-3142-7480
ORCiD: Igor Nenadić https://orcid.org/0000-0002-0749-7473
ORCiD: Tilo Kircher https://orcid.org/0000-0002-2514-2625
ORCiD: Axel Krug https://orcid.org/0000-0002-0564-2497
ORCiD: Udo Dannlowski https://orcid.org/0000-0002-0623-3759
ORCiD: Kira Flinkenflügel https://orcid.org/0000-0001-7738-5429
ORCiD: Susanne Meinert https://orcid.org/0000-0003-2177-7161
ORCiD: Janik Goltermann https://orcid.org/0000-0003-3087-1002
ORCiD: Tim Hahn https://orcid.org/0000-0001-6541-3795
ORCiD: Joscha Böhnlein https://orcid.org/0000-0002-9870-5599
ORCiD: Elisabeth J. Leehr https://orcid.org/0000-0002-9264-5003
ORCiD: Carlotta Barkhau https://orcid.org/0000-0002-7546-9183
ORCiD: Aurina Arnatkeviciute https://orcid.org/0000-0003-4098-7084
ORCiD: Mark A. Bellgrove https://orcid.org/0000-0003-0186-8349
ORCiD: Jeggan Tiego https://orcid.org/0000-0001-7835-6398
ORCiD: Melissa Green https://orcid.org/0000-0002-9361-4874
ORCiD: Yann Quidé https://orcid.org/0000-0002-8569-7139
ORCiD: Christos Pantelis https://orcid.org/0000-0002-9565-0238
ORCiD: Raymond C. K. Chan https://orcid.org/0000-0001-7571-6933
ORCiD: Yi Wang https://orcid.org/0000-0001-6880-5831
ORCiD: Ulrich Ettinger https://orcid.org/0000-0002-0160-0281
ORCiD: Martin Debbané https://orcid.org/0000-0002-4677-8753
ORCiD: Christian Gaser https://orcid.org/0000-0002-9940-099X
ORCiD: Bianca Besteher https://orcid.org/0000-0001-7989-9298
ORCiD: Josselin Houenou https://orcid.org/0000-0003-3166-5606
ORCiD: Lukasz Smigielski https://orcid.org/0000-0002-7428-7644
ORCiD: Veena Kumari https://orcid.org/0000-0002-9635-5505
ORCiD: Haeme R. P. Park https://orcid.org/0000-0002-8680-4346
ORCiD: Imke Jansen https://orcid.org/0000-0001-9044-6468
ORCiD: James Gilleen https://orcid.org/0000-0003-1095-9058
ORCiD: Anne-Kathrin Fett https://orcid.org/0000-0003-0282-273X
ORCiD: Asia Ferrari https://orcid.org/0009-0001-3227-9443
ORCiD: Indrit Bègue https://orcid.org/0000-0001-5350-4454
ORCiD: Dennis Hernaus https://orcid.org/0000-0002-8370-5756
ORCiD: Maria Jalbrzikowski https://orcid.org/0000-0001-6574-9432
ORCiD: Sara Larivière https://orcid.org/0000-0001-5701-1307
ORCiD: Boris Bernhardt https://orcid.org/0000-0001-9256-6041
ORCiD: Bratislav Misic https://orcid.org/0000-0003-0307-2862
ORCiD: Jessica A. Turner https://orcid.org/0000-0003-0076-8434
ORCiD: Alain Dagher https://orcid.org/0000-0002-0945-5779
ORCiD: Gemma Modinos https://orcid.org/0000-0002-7870-066X
Appears in Collections:Department of Life Sciences Research Papers

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