Multilevel neural gradients reflect transdiagnostic effects of major psychiatric conditions on cortical morphology
Bo‐yong ParkiD, Valeria KebetsiD, Sara LarivièreiD, Meike D. HettweriD, Casey PaquolaiD, Daan van RooijiD, Jan K. BuitelaariD, Barbara FrankeiD, Martine HoogmaniD, Lianne SchmaaliD, Dick J. VeltmaniD, Odile A. van den HeuveliD, Dan Joseph SteiniD, Ole A. AndreasseniD, Christopher R. K. ChingiD, Jessica A. TurneriD, Theo G.M. van ErpiD, Alan Charles EvansiD, Alain DagheriD, Sophia I. ThomopoulosiD, Paul M. ThompsoniD, Sofie Louise ValkiD, Matthias KirschneriD, Boris C. BernhardtiD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWIt is increasingly recognized that multiple psychiatric conditions are underpinned by shared neural pathways, affecting similar brain systems. Here, we assessed i) shared dimensions of alterations in cortical morphology across six major psychiatric conditions (autism spectrum disorder, attention deficit/hyperactivity disorder, major depression, obsessive-compulsive disorder, bipolar disorder, schizophrenia) and ii) carried out a multiscale neural contextualization, by cross-referencing shared anomalies against cortical myeloarchitecture and cytoarchitecture, as well as connectome and neurotransmitter organization. Pooling disease-related effects on MRI-based cortical thickness measures across six ENIGMA working groups, including a total of 28,546 participants (12,876 patients and 15,670 controls), we computed a shared disease dimension on cortical morphology using principal component analysis that described a sensory-fugal pattern with paralimbic regions showing the most consistent abnormalities across conditions. The shared disease dimension was closely related to cortical gradients of microstructure and intrinsic connectivity, as well as neurotransmitter systems, specifically serotonin and dopamine. Our findings embed the shared effects of major psychiatric conditions on brain structure in multiple scales of brain organization and may provide novel insights into neural mechanisms into transdiagnostic vulnerability.
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