Large-scale evidence is provided that structural deviations across NDPCs are systematically constrained by the brain's intrinsic architecture, providing a framework for reconciling individual variability with transdiagnostic similarities and motivates an integrative, systems-level understanding of mental health.
Abstract
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 brain's 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.
It is demonstrated that sample sizes in the hundreds are required for robust associations with psychiatric diagnoses, and normative developmental trajectories of source-space EEG across spectral organization, connectivity, and signal complexity are established.
Adrien E. E. Dubois, Sarah Lippé, Charles-Olivier Martin et al.· bioRxiv· 0 citations
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) often co-occur and share symptoms as well as genetic risk factors. While subcortical-cortical networks have been implicated in both conditions, particularly involving thalamic and striatal circuits, patterns of shared and diverging disru...
Guan Zhou, K. Xie, A. Ngo et al.· bioRxiv· 0 citations
BACKGROUND
Understanding how disease-related connectome alterations relate to underlying molecular systems remains a major challenge in psychiatric disorders.
METHODS
Here we introduce BrainNetAnno (https://brainnetanno.readthedocs.io/en/latest), an open-source framework for molecular annotation of brain network conn...
Major depressive disorder (MDD) is biologically heterogeneous, but how this variability is expressed in the temporal organization of brain activity remains unclear. Using resting-state functional MRI from 2,225 participants, we applied hidden Markov modeling to identify recurrent brain states and quantify their tempora...
Chun-Yu Pan, Yue Tu, Fei Wang et al.· bioRxiv· 0 citations
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