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Post-traumatic stress symptoms and post-traumatic growth are common co-occurring psychological responses following exposure to traumatic events (such as COVID-19 pandemic), their mutual relationship remains unclear. To explore this relationship, structural magnetic resonance imaging data were acquired from 115 general college students before the COVID-19 pandemic, and follow-up post-traumatic stress symptoms and post-traumatic growth measurements were collected during the pandemic. Voxel-based morphometry was conducted and individual structural covariance networks based on gray matter volume were further analyzed using graph theory and partial least squares correlation. Behavioral correlation found no significant relationship between post-traumatic stress symptoms and post-traumatic growth. Voxel-based morphometry analyses showed that post-traumatic stress symptoms were positively correlated with gray matter volume in medial prefrontal cortex/dorsal anterior cingulate cortex, and post-traumatic growth was negatively correlated with gray matter volume in left dorsolateral prefrontal cortex. Structural covariance network analyses found that post-traumatic stress symptoms were negatively correlated with the local efficiency and clustering coefficient of the network. Moreover, partial least squares correlation showed that post-traumatic stress symptoms were correlated with pronounced nodal properties patterns in default mode, sensory and motor regions, and a marginal correlation of post-traumatic growth with a nodal property pattern in emotion regulation-related regions. This study advances our understanding of the neurobiological substrates of post-traumatic stress symptoms and post-traumatic growth, and suggests that they may have different neuroanatomical features., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)

Competing Interests: Dr DelBello has received research support from NIMH, PCORI, Acadia, Alkermes, Allergan, Janssen, Johnson and Johnson, Lundbeck, Myriad, Otsuka, Pfizer, Sunovion, and Shire, and has provided consultation or advisory board services for Alkermes, Allergan, CMEology, Janssen, Johnson and Johnson, Lundbeck, Medscape, Myriad, Pfizer, Sage, and Sunovion. All other authors declare that they have no competing interests.

Phenotyping approaches grounded in structural network science can offer insights into the neurobiological substrates of psychiatric diseases, but this remains to be clarified at the individual level in social anxiety disorder (SAD). Using a recently developed approach combining probability density estimation and Kullback-Leibler divergence, we constructed single-subject structural covariance networks (SCNs) based on multivariate morphometry (cortical thickness, surface area, curvature, and volume) and quantified their global/nodal network properties using graph-theoretical analysis. We compared network metrics between SAD patients and healthy controls (HC) and analyzed the relationship to clinical characteristics. We also used support vector machine analysis to explore the ability of graph-theoretical metrics to discriminate SAD patients from HC. Globally, SAD patients showed higher global efficiency, shorter characteristic path length, and stronger small-worldness. Locally, SAD patients showed abnormal nodal centrality mainly involving left superior frontal gyrus, right superior parietal lobe, left amygdala, right paracentral gyrus, right lingual, and right pericalcarine cortex. Altered topological metrics were associated with the symptom severity and duration. Graph-based metrics allowed single-subject classification of SAD versus HC with total accuracy of 78.7%. This finding, that the topological organization of SCNs in SAD patients is altered toward more randomized configurations, adds to our understanding of network-level neuropathology in SAD., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)

The ADRA2A-1291 C > G polymorphism and deficits in visual memory and inhibitory control were associated with attention deficit hyperactivity disorder (ADHD). The present study aimed to examine whether the ADRA2A G/G genotype affected gray matter (GM) networks in ADHD and whether these gene-brain modulations were associated with cognitive function in ADHD. Seventy-five drug-naïve ADHD children and 70 healthy controls were recruited. The GM networks were obtained based on areal similarities of GM, and network topological properties were analyzed using graph theory. Visual memory and inhibitory control were assessed by the visual memory test and the Stroop test, respectively. SNP genotyping of rs1800544 was performed. A significant interaction between ADHD diagnosis and gene polymorphism was observed in the nodal degree of the left inferior parietal lobule and left inferior (opercular) frontal gyrus. In the ADHD group, nodal efficiency in the left inferior (orbital) frontal gyrus in ADHD with G/G was lower than that in ADHD without G/G. Moreover, the ADRA2A-modulated alterations in nodal properties were associated with visual memory and inhibitory control. Our findings provide novel gene-brain behavior association evidence that GM network alterations, especially in the frontoparietal loop, were related to visual memory and inhibitory control in ADHD children with ADRA2A-G/G., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Abnormalities of cortical thickness (CTh) in patients with their first episode psychosis (FEP) have been frequently reported, but findings are inconsistent., Objective: To define the most consistent CTh changes in patients with FEP by meta-analysis of published whole-brain studies., Methods: The meta-analysis used seed-based d mapping (SDM) software to obtain the most prominent regional CTh changes in FEP, and meta-regression analyses to explore the effects of demographics and clinical characteristics. The meta-analysis results were verified in an independent sample of 142 FEP patients and 142 age- and sex-matched healthy controls (HCs), using both a vertex-wise and a region of interest analysis, with multiple comparisons correction., Results: The meta-analysis identified lower CTh in the right middle temporal cortex (MTC) extending to superior temporal cortex (STC), insula, and anterior cingulate cortex (ACC) in FEP compared with HCs. No significant correlations were identified between CTh alterations and demographic or clinical variables. These results were replicated in the independent dataset analysis., Conclusion: This study identifies a robust pattern of cortical abnormalities in FEP and extends understanding of gray matter abnormalities and pathological mechanisms in FEP., (© The Author(s) 2021. Published by Oxford University Press on behalf of West China School of Medicine/West China Hospital (WCSM/WCH) of Sichuan University.)