ABSTRACT
BACKGROUND: Patterns of coordinated variations of gray matter (GM) morphology across individuals are promising indicators of disease. However, it remains unclear if they can help characterize first-episode psychosis (FEP) and symptoms' severity. METHODS: Sixty-seven FEP and 67 matched healthy controls (HC) were assessed with structural MRI to evaluate the existence of distributed GM structural covariance patterns associated to brain areas belonging to salience network. Voxel-based morphometry (VBM) and structural covariance differences, investigated with salience network seed-based Partial Least Square, were applied to explore differences between groups. GM density associations with Raven's intelligent quotient (IQ) and Positive and Negative Syndrome Scale (PANSS) scores were investigated. RESULTS: Univariate VBM results gave trend without significant GM differences across groups. GM and IQ correlated positively in both groups: in FEP, mostly in hippocampus, insula, and fronto-temporal structures, while in HC mostly in amygdala, thalamus and fronto-temporal regions. GM and PANSS scores correlated negatively in FEP, with widespread clusters located in limbic regions. Multivariate analysis showed strong and opposite structural GM covariance with salience network for FEP and HC. Moreover, structural covariance of the salience network in FEP correlated negatively with severity of clinical symptoms. CONCLUSION: Our study provides evidence supporting the insular dysfunction model of psychosis. Reduced structural GM covariance of the salience network, with its association to symptom's severity, appears a promising morphometry feature for FEP detection.
Subject(s)
Psychotic Disorders , Brain/diagnostic imaging , Cerebral Cortex/diagnostic imaging , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance Imaging , Psychotic Disorders/diagnostic imagingABSTRACT
OBJECTIVE: This observational study was designed to evaluate risk factors and distribution of Adjustment Disorder (AD) and Postnatal Depression (PPD), after delivery and a positive screening at Camposampiero Hospital (2012-2017). BACKGROUND: After childbirth, women are vulnerable to develop psychological disorders. Since the effects of psychopathology are relevant, prevention and early intervention are of paramount importance. Recognising risk factors is therefore necessary. METHODS: Women were screened after delivery, between the 6th and 8th week, using EPDS. Depressive symptoms were examined by psychological assessment. Socio-demographic, clinical and obstetric variables were analysed to identify women at greater risk for developing perinatal psychological disorders. RESULTS: Of the 3102 women screened, 14.6% resulted positive: 23.6% of them suffered from AD and 5.5% from PPD. Regarding AD, previous induced abortion, unwanted pregnancy, unemployment and family history of mental disorders were the most relevant risk factors. Higher risks for PPD were: not attending antenatal classes, unwanted pregnancy, previous psychopathology and family history of mental disorders. CONCLUSION: In our study, distribution and risk factors for PPD and AD are in line with those reported in literature. Paying attention to subclinical symptoms co-related to items of EPDS helps healthcare professionals to be more sensitive in detecting suffering women.
Subject(s)
Depression, Postpartum , Adjustment Disorders/diagnosis , Adjustment Disorders/epidemiology , Depression, Postpartum/diagnosis , Depression, Postpartum/epidemiology , Female , Humans , Postpartum Period , Pregnancy , Prevalence , Retrospective Studies , Risk FactorsABSTRACT
Gender is associated with several features of psychotic disorders, including age of illness onset, symptomatology, a higher prevalence of history of childhood sexual abuse (CSA) and needs for care. Childhood sexual abuse is associated with adverse mental health consequences but as there is a gender difference in stress reactivity, there may be a differential impact of CSA on psychopathology, age of psychosis onset and needs for care in First Episode Psychosis (FEP) patients. We hypothesized that a history of abuse would be associated with lowering of age of onset, increased symptomatology and more unmet needs in women but not men. A total of 444 FEP patients have been recruited within the context of the GET UP trial. Symptomatology has been assessed using the PANSS scale, needs for care with the CAN scale and childhood abuse with the CECA-Q scale. Childhood sexual abuse was more frequent among female patients [22.6% in women vs 11.6% in men (ORâ¯=â¯0.45, pâ¯<â¯0.01)], whereas there was no gender difference in the prevalence of childhood physical abuse (29.0% in women vs 31.7% in men). Childhood abuse was associated with higher levels of negative symptoms in both men and women, with a reduced age of onset in women only and little increase in needs for care in both men and women. Our results seem to suggest that childhood sexual abuse in female FEP patients may be linked to a more severe form of psychosis whose presentation is characterized by earlier age of onset and higher levels of negative symptoms and we can also speculate that gender-specific protective factors in women, but not in men, may be outweighed by the consequences of childhood abuse.