Disturbances in personal identity are recognized in psychosis and depression. However, it is unknown whether these disruptions share common processes across clinical groups, or whether there are unique alterations by group or between men and women within each clinical group. To advance on this question, we compared personal identity dimensions in psychosis and depression and investigated the effects of gender and depressive mood. This study assessed dimensions of personal identity using the repertory grid technique among 85 outpatients with psychosis, 85 outpatients with depressive disorders and 85 healthy controls who were matched by age. Data regarding depressive mood and general functioning was also collected. Results showed that self-discrepancies were higher in psychosis and depression than in controls, and were associated with depressive mood. Interpersonal dichotomous thinking was more prevalent in women in both clinical groups. Women with psychosis showed higher ideal-others discrepancy and had a more complex structure of personal identity than their male counterparts. To conclude, alterations in self-ideal and self-others discrepancies may be transdiagnostic dimensions related to depressive mood. Interpersonal dichotomous thinking may also be a common dimensional characteristic in psychosis and depression but more specific to women. Finally, critical views of others and a higher complexity of personal identity may be more specific to women than men with psychosis. Our results are consistent with other studies pointing to the need for person-focused treatments promoting the recovery of a full sense of personal identity, rather than just focusing on specific thoughts and feelings.The arcuate fasciculus (AF) has been implicated in the pathology behind schizophrenia and auditory verbal hallucinations (AVHs). White matter tracts forming the arcuate fasciculus can be quantified and visualized using diffusion tensor imaging (DTI) tractography. Although there have been a number of studies on this topic, the results have been conflicting. Studying the underlying white matter structure of the AF could shed light on the constrains for interaction between temporal and frontal language areas in AVHs. The participants were 66 patients with a schizophrenia diagnosis, where AVHs were defined from the Positive and Negative Syndrome Scale (PANSS), and compared with a healthy control group. DTI was performed on a 3T MR scanner, and tensor estimation was done using deterministic streamline tractography. Statistical analysis of the data showed significantly longer reconstructed tracks along the AF in patients with severe and frequent AVHs, as well as an overall significant asymmetry with longer tracks in the left compared to the right side. In addition, there were significant positive correlations between PANSS scores and track length, track volume, and number of track streamlines for the posterior AF segment on the left side. It is concluded that the present DTI results may have implications for interpretations of functional imaging results.There is a growing need for optimizing treatment selection and response prediction in individuals with major depressive disorder (MDD). https://www.selleckchem.com/products/gsk864.html Prior investigations have shown that changes in electroencephalographic (EEG)-based measures precede symptom improvement and could serve as biomarkers of treatment outcome. One such method is cordance, a computation of regional brain activity based on a combination of absolute and relative resting EEG activity. Specifically, early reduction in prefrontal (PF) and midline right frontal (MRF) theta (4-8Hz) cordance has been shown to predict response to various antidepressants, though replication is required. Thus, this study examined early changes (baseline to week 1) in PF and MRF cordance in 47 MDD patients undergoing antidepressant treatment. Early changes in cordance and in Montgomery Åsberg Depression Rating Scale (MADRS) scores were assessed alone, and in combination, to predict eventual (by week 12) treatment response and remission. Models combining early changes in theta cordance (PF and MRF) and depressive symptoms were most predictive of response to treatment at week 12; remission models (cordance, MADRS, and their combination) were weaker, though provided modest prediction values. These results suggest that antidepressant response may be optimally predicted by combining both EEG and symptom-based measures after one week of treatment.Introduction Although social anxiety symptoms and exposure to maternal major depressive disorder (MDD) have each been conceptualized as key contributors to the development of depression symptoms in youth, these risk factors have not been integrated into a single model of risk. The current study evaluated a two-hit model of risk to determine whether the impact of social anxiety on prospective changes in youth depressive symptoms is stronger among youth exposed to maternal MDD than among those of never-depressed mothers. Methods Participants were youth (aged 8-14 at baseline, 50.4% girls, 80.9% Caucasian) and their biological mothers recruited from the community in the United States. Of the mothers, 129 had a history of MDD during their youth's lifetime and 117 had no lifetime history of MDD. At the initial assessment, mothers completed diagnostic interviews and youth completed self-report measures of social anxiety and depressive symptoms. Participants were reassessed every 6 months for 2 years during which youth again completed the symptom measures. Results Results of hierarchical linear modeling revealed that levels of social anxiety predicted prospective increases in depressive symptoms among offspring of mothers with a history of MDD, but not among those of never-depressed mothers. Depressive symptoms did not predict prospective changes in social anxiety (alone or in interaction with maternal MDD). Conclusions These results provide preliminary evidence for an integrated model of risk such that social anxiety symptoms may be a particularly strong risk factor for the subsequent development of depression symptoms among youth with exposure to maternal MDD.