M. D. Hettwer, A. Saberi, G. Shafiei, A. Manoli, A. A. De Boer, D. Alnaes, P. Alonso, C. Arango, M. Assaf, M. Avram, S. Balachander, N. Banaj, Z. Basgöze, M. C. Batistuzzo, S. E. E. C. Bauduin, F. Benedetti, S. Bertolin, B. Besteher, L. Biagi, R. J. Blair, K. Blair, S. Bölte, S. Borgwardt, P. Bosco, P. Brambilla, B. Bravi, B. P. Brennan, W. B. Bruin, G. F. Busatto, M. J. Cairns, S. Calderoni, V. Calhoun, R. Calvo, M. Cano, V. J. Carr, S. P. Carruthers, G. F. Caruana, X. Caseras, S. V. Catts, I.-J. Chi, D. Cobia, F. Colombo, M. B. Couto, Crespo-Facor
Elucidating the neurobiological basis of neurodevelopmental and psychiatric conditions (NDPCs) remains challenging because brain alterations vary within diagnoses and overlap across them. Whether diverse alterations follow a systematic organization that may reflect shared vulnerabilities remains unknown. Here, we assembled 10,135 individuals with schizophrenia, autism, bipolar, obsessive-compulsive, generalized anxiety, and major depressive disorders, and 11,998 reference participants across six continents through the ENIGMA consortium. Using normative modeling, we quantified individual deviations in cortical thickness, surface area, and subcortical volumes relative to lifespan reference trajectories (5 to 80 years). We show that structural deviations converged along cortical axes reflecting connectome organization, maturation, and cytoarchitectonic diversity. These axes mirrored typical population variation, but their expression differed across diagnoses and partly scaled with symptom severity. Even rare and highly individualized extreme deviations followed this organization, concentrating in densely connected regions. Finally, brain structural deviations overlapped substantially across diagnoses, while differences between them increased toward the association cortex. Together, we provide large-scale evidence that structural deviations across NDPCs are systematically constrained by the brains intrinsic architecture. This shared organization provides a framework for reconciling individual variability with transdiagnostic similarities and motivates an integrative, systems-level understanding of mental health.